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Merge remote-tracking branch 'nccl/v2.19' into develop

Telusuri Sumber 
[ROCm/rccl commit: 81ddf9de89]
This commit is contained in:
BertanDogancay
2024-01-24 15:25:33 -08:00
orang tua 36fdd214e0 69ee68b6d3
melakukan 404d398bac
111 mengubah file dengan 4608 tambahan dan 2075 penghapusan
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projects/rccl/CMakeLists.txt
+66 -66
Melihat File
@@ -272,6 +272,17 @@ configure_file(src/nccl.h.in ${PROJECT_BINARY_DIR}/include/nccl.h) # Used b
set(SRC_FILES
src/bootstrap.cc
src/channel.cc
src/collectives.cc
src/debug.cc
src/enhcompat.cc
src/enqueue.cc
src/group.cc
src/init.cc
src/net.cc
src/msccl.cc
src/proxy.cc
src/transport.cc
# src/init_nvtx.cc
# src/clique/AllReduceCliqueKernel.h
# src/clique/CliqueCommon.h
# src/clique/CliqueManager.cc
@@ -288,35 +299,25 @@ set(SRC_FILES
# src/clique/SharedMemHelper.h
# src/clique/ShmObject.cc
# src/clique/ShmObject.h
src/collectives/all_gather.cc
src/collectives/all_reduce.cc
src/collectives/all_to_all.cc
src/collectives/all_to_allv.cc
src/collectives/broadcast.cc
src/collectives/msccl.cc
src/collectives/device/all_gather.h
src/collectives/device/all_reduce.h
src/collectives/device/alltoall_pivot.h
src/collectives/device/broadcast.h
src/collectives/device/common.h
src/collectives/device/common_kernel.h
src/collectives/device/op128.h
src/collectives/device/primitives.h
src/collectives/device/prims_ll128.h
src/collectives/device/prims_ll.h
src/collectives/device/prims_simple.h
src/collectives/device/reduce.h
src/collectives/device/reduce_kernel.h
src/collectives/device/reduce_scatter.h
src/collectives/device/sendrecv.h
src/collectives/device/onerank_reduce.cu
src/collectives/gather.cc
src/collectives/reduce.cc
src/collectives/reduce_scatter.cc
src/collectives/scatter.cc
src/collectives/sendrecv.cc
src/debug.cc
src/enqueue.cc
src/device/all_gather.h
src/device/all_reduce.h
src/device/alltoall_pivot.h
src/device/broadcast.h
src/device/common.h
src/device/common_kernel.h
src/device/op128.h
src/device/primitives.h
src/device/prims_ll128.h
src/device/prims_ll.h
src/device/prims_simple.h
src/device/reduce.h
src/device/reduce_kernel.h
src/device/reduce_scatter.h
src/device/sendrecv.h
src/device/common.cu
src/device/onerank.cu
src/device/network/unpack/unpack_defs.h
src/device/network/unpack/unpack.h
src/graph/connect.cc
src/graph/paths.cc
src/graph/rings.cc
@@ -330,10 +331,9 @@ set(SRC_FILES
src/graph/tuning.cc
src/graph/xml.cc
src/graph/xml.h
src/group.cc
src/include/archinfo.h
src/include/align.h
src/include/alloc.h
src/include/archinfo.h
src/include/argcheck.h
src/include/BfdBacktrace.hpp
src/include/bootstrap.h
@@ -346,7 +346,7 @@ set(SRC_FILES
src/include/cpuset.h
# src/include/cudawrap.h
src/include/debug.h
src/include/devcomm.h
src/include/device.h
src/include/enqueue.h
src/include/gdrwrap.h
src/include/git_version.h
@@ -357,18 +357,40 @@ set(SRC_FILES
src/include/ibvwrap.h
src/include/info.h
src/include/ipcsocket.h
src/include/nccl_common.h
src/include/nccl_net.h
src/include/nccl_tuner.h
src/include/net_device.h
src/include/net.h
src/include/nvmlwrap.h
src/include/nvtx.h
src/include/nvtx_stub.h
src/include/p2p.h
src/include/param.h
src/include/profiler.h
src/include/proxy.h
src/include/rccl_bfloat16.h
src/include/rccl_vars.h
src/include/rocm_smi_wrap.h
src/include/rocmwrap.h
src/include/shm.h
src/include/signals.h
src/include/socket.h
src/include/strongstream.h
src/include/timer.h
src/include/transport.h
src/include/trees.h
src/include/tuner.h
src/include/utils.h
src/include/msccl/msccl_lifecycle.h
src/include/msccl/msccl_parser.h
src/include/msccl/msccl_scheduler.h
src/include/msccl/msccl_setup.h
src/include/msccl/msccl_status.h
src/include/msccl/msccl_struct.h
src/include/nccl_net.h
src/include/net.h
src/include/npkit/npkit_event.h
src/include/npkit/npkit.h
src/include/npkit/npkit_event.h
src/include/npkit/npkit_struct.h
src/include/nvmlwrap.h
src/include/nvtx3/nvToolsExtCuda.h
src/include/nvtx3/nvToolsExtCudaRt.h
src/include/nvtx3/nvToolsExt.h
@@ -392,26 +414,6 @@ set(SRC_FILES
src/include/nvtx3/nvtxExtDetail/nvtxExtInit.h
src/include/nvtx3/nvtxExtDetail/nvtxExtPayloadTypeInfo.h
src/include/nvtx3/nvtxExtDetail/nvtxExtTypes.h
src/include/nvtx.h
src/include/nvtx_stub.h
src/include/p2p.h
src/include/param.h
src/include/profiler.h
src/include/proxy.h
src/include/rccl_bfloat16.h
src/include/rccl_vars.h
src/include/rocm_smi_wrap.h
src/include/rocmwrap.h
src/include/shm.h
src/include/signals.h
src/include/socket.h
src/include/strongstream.h
src/include/timer.h
src/include/transport.h
src/include/trees.h
src/include/utils.h
src/init.cc
# src/init_nvtx.cc
src/misc/archinfo.cc
src/misc/argcheck.cc
# src/misc/cudawrap.cc
@@ -419,10 +421,6 @@ set(SRC_FILES
src/misc/ibvsymbols.cc
src/misc/ibvwrap.cc
src/misc/ipcsocket.cc
src/misc/msccl/msccl_lifecycle.cc
src/misc/msccl/msccl_parser.cc
src/misc/msccl/msccl_setup.cc
src/misc/msccl/msccl_status.cc
src/misc/npkit.cc
# src/misc/nvmlwrap.cc
src/misc/nvmlwrap_stub.cc
@@ -434,10 +432,12 @@ set(SRC_FILES
src/misc/signals.cc
src/misc/socket.cc
src/misc/strongstream.cc
src/misc/tuner.cc
src/misc/utils.cc
src/net.cc
src/proxy.cc
src/transport.cc
src/misc/msccl/msccl_lifecycle.cc
src/misc/msccl/msccl_parser.cc
src/misc/msccl/msccl_setup.cc
src/misc/msccl/msccl_status.cc
src/transport/coll_net.cc
src/transport/net.cc
src/transport/net_ib.cc
@@ -449,7 +449,7 @@ set(SRC_FILES
if (ENABLE_MSCCL_KERNEL)
set(MSCCL_KERNEL_SOURCES
src/collectives/device/msccl_kernel_impl.h
src/device/msccl_kernel_impl.h
src/include/msccl/msccl_kernel.h
)
list(APPEND SRC_FILES ${MSCCL_KERNEL_SOURCES})
@@ -516,8 +516,8 @@ add_dependencies(rccl git_version_check) #
target_include_directories(rccl PRIVATE ${PROJECT_BINARY_DIR}/include) # for generated rccl.h header
target_include_directories(rccl PRIVATE ${HIPIFY_DIR}/src) # for hipfied headers
target_include_directories(rccl PRIVATE ${HIPIFY_DIR}/src/include)
target_include_directories(rccl PRIVATE ${HIPIFY_DIR}/src/collectives)
target_include_directories(rccl PRIVATE ${HIPIFY_DIR}/src/collectives/device)
target_include_directories(rccl PRIVATE ${HIPIFY_DIR}/src/device)
target_include_directories(rccl PRIVATE ${HIPIFY_DIR}/src/device/network/unpack)
target_include_directories(rccl PRIVATE ${HSA_INCLUDE_PATH})
target_include_directories(rccl PRIVATE ${ROCM_SMI_INCLUDE_DIR})
if(DEMANGLE_DIR)
projects/rccl/cmake/Generator.cmake
+20 -33
Melihat File
@@ -25,7 +25,7 @@ set(ALL_PARAMS "ALL_COLLS" "ALL_ALGOS" "ALL_PROTOS" "ALL_REDOPS" "ALL_TYPES")
set(ALL_COLLS "AllGather" "AllReduce" "AllToAllPivot" "Broadcast" "Reduce" "ReduceScatter" "SendRecv")
set(ALL_ALGOS "TREE" "RING" "COLLNET_DIRECT" "COLLNET_CHAIN")
set(ALL_PROTOS "LL" "LL128" "SIMPLE")
set(ALL_REDOPS "Sum" "Prod" "Max" "Min" "PreMulSum" "SumPostDiv")
set(ALL_REDOPS "Sum" "Prod" "MinMax" "PreMulSum" "SumPostDiv")
set(ALL_TYPES "int8_t" "uint8_t" "int32_t" "uint32_t" "int64_t" "uint64_t" "half" "float" "double" "rccl_bfloat16")
set(FLOATS_LIST "half" "float" "double" "rccl_bfloat16")
@@ -135,8 +135,8 @@ macro(filter_functions FUNCTION_PARAMS current_idx)
set(COLL_LIST ${COLL_LIST} PARENT_SCOPE)
## Append the newly formed function/kernel to list
list(APPEND FUNC_LIST "ncclFunction_${COLL}_${ALGO}_${PROTO}_${REDOP}_${TYPE}")
list(APPEND KERN_LIST "ncclKernel_${COLL}_${ALGO}_${PROTO}_${REDOP}_${TYPE}")
list(APPEND FUNC_LIST "ncclDevFunc_${COLL}_${ALGO}_${PROTO}_${REDOP}_${TYPE}")
list(APPEND KERN_LIST "ncclDevKernel_${COLL}_${ALGO}_${PROTO}_${REDOP}_${TYPE}")
set(FUNC_LIST ${FUNC_LIST} PARENT_SCOPE)
set(KERN_LIST ${KERN_LIST} PARENT_SCOPE)
endif()
@@ -147,7 +147,7 @@ endmacro()
#####################################################################################################
function(gen_device_table)
## Generate device table and list all the functions
set(DEVICE_TABLE_H_FILE "${HIPIFY_DIR}/src/collectives/device/device_table.h")
set(DEVICE_TABLE_H_FILE "${HIPIFY_DIR}/src/device/device_table.h")
message(STATUS "Generating ${DEVICE_TABLE_H_FILE}")
## Declaration of device functions
@@ -168,8 +168,8 @@ function(gen_device_table)
file(APPEND ${DEVICE_TABLE_H_FILE} "\n")
## Undirect function call
file(APPEND ${DEVICE_TABLE_H_FILE} "using ncclKernelFunc_t = void (*)();\n\n")
file(APPEND ${DEVICE_TABLE_H_FILE} "__device__ ncclKernelFunc_t const ncclFuncs[] = {\n")
file(APPEND ${DEVICE_TABLE_H_FILE} "typedef void(*ncclDevFuncPtr_t)();\n\n")
file(APPEND ${DEVICE_TABLE_H_FILE} "__device__ ncclDevFuncPtr_t const ncclDevFuncTable[] = {\n")
foreach(func ${FUNC_LIST})
string(FIND "${func}" "LL128" IS_LL128)
if(NOT IS_LL128 EQUAL -1)
@@ -183,10 +183,6 @@ function(gen_device_table)
file(APPEND ${DEVICE_TABLE_H_FILE} " ${func},\n")
endif()
endforeach()
## Add OneRankReduce functions at the end
foreach(type IN LISTS ALL_TYPES)
file(APPEND ${DEVICE_TABLE_H_FILE} " ncclFunction_OneRankReduce_PreMulSum_${type},\n")
endforeach()
file(APPEND ${DEVICE_TABLE_H_FILE} "nullptr};\n\n")
if(NOT ENABLE_IFC)
@@ -205,26 +201,25 @@ function(gen_device_table)
"template<unsigned short f>\n"
"struct Caller<f, f + 1>{\n"
" static __forceinline__ __device__ __host__\n"
" void call(unsigned short funcIndex) noexcept { ncclFuncs[f](); }\n"
" void call(unsigned short funcIndex) noexcept { ncclDevFuncTable[f](); }\n"
"};\n"
)
file(APPEND ${DEVICE_TABLE_H_FILE} "__forceinline__ __device__ void NCCL_CALL_FUNCTIONS(unsigned short funcIndex) noexcept {\n")
list(LENGTH FUNC_LIST max_index)
math(EXPR max_index "${max_index} + 9") ## Add onerankreduce functions
file(APPEND ${DEVICE_TABLE_H_FILE} " Caller<0, ${max_index}>::call(funcIndex);\n}\n\n")
endif()
## Function name table for collective trace
if(COLLTRACE)
set(DEVICE_TABLE_FILE "${HIPIFY_DIR}/src/collectives/device/device_table.cpp")
set(DEVICE_TABLE_FILE "${HIPIFY_DIR}/src/device/device_table.cpp")
message(STATUS "Generating ${DEVICE_TABLE_FILE}")
file(APPEND ${DEVICE_TABLE_FILE} "#include \"collectives.h\"\n#include \"devcomm.h\"\n\n const char* funcNames[FUNC_INDEX_TOTAL] = {\n")
file(APPEND ${DEVICE_TABLE_FILE} "#include \"nccl_common.h\"\n#include \"device.h\"\n\n const char* funcNames[FUNC_INDEX_TOTAL] = {\n")
foreach(func ${FUNC_LIST})
file(APPEND ${DEVICE_TABLE_FILE} " \"${func}\",\n")
endforeach()
foreach(type IN LISTS ALL_TYPES)
file(APPEND ${DEVICE_TABLE_FILE} " \"ncclFunction_OneRankReduce_PreMulSum_${type}\",\n")
file(APPEND ${DEVICE_TABLE_FILE} " \"ncclDevFunc_OneRankReduce_PreMulSum_${type}\",\n")
endforeach()
file(APPEND ${DEVICE_TABLE_FILE} "};\n")
endif()
@@ -239,13 +234,13 @@ endfunction()
## Function to generate host-side table
######################################################################################################
function(gen_host_table)
set(HOST_TABLE_FILE "${HIPIFY_DIR}/src/collectives/device/host_table.cpp")
set(HOST_TABLE_FILE "${HIPIFY_DIR}/src/device/host_table.cpp")
message(STATUS "Generating ${HOST_TABLE_FILE}")
file(WRITE ${HOST_TABLE_FILE} "#include \"devcomm.h\"\n\n")
file(WRITE ${HOST_TABLE_FILE} "#include \"device.h\"\n\n")
## The mapping from function rows to valid function ids
file(APPEND ${HOST_TABLE_FILE} "extern int const ncclFuncRowToId[] = {\n")
file(APPEND ${HOST_TABLE_FILE} "extern int const ncclDevFuncRowToId[] = {\n")
set(idx 0)
foreach(coll IN LISTS ALL_COLLS)
foreach(algo IN LISTS ALL_ALGOS)
@@ -264,10 +259,10 @@ function(gen_host_table)
continue()
endif()
list(FIND FUNC_LIST "ncclFunction_${coll}_${algo}_${proto}_${redop}_${type}" fn_id)
list(FIND FUNC_LIST "ncclDevFunc_${coll}_${algo}_${proto}_${redop}_${type}" fn_id)
if(NOT ${fn_id} EQUAL -1)
set(last_valid_fn_id ${fn_id})
file(APPEND ${HOST_TABLE_FILE} " /*${idx}*/ ${fn_id}, // ncclFunction_${coll}_${algo}_${proto}_${redop}_${type}\n")
file(APPEND ${HOST_TABLE_FILE} " /*${idx}*/ ${fn_id}, // ncclDevFunc_${coll}_${algo}_${proto}_${redop}_${type}\n")
else()
file(APPEND ${HOST_TABLE_FILE} " /*${idx}*/ ${fn_id},\n")
endif()
@@ -278,14 +273,6 @@ function(gen_host_table)
endforeach()
endforeach()
math(EXPR last_valid_fn_id "${last_valid_fn_id} + 1")
## Add OneRankReduce function ids at the end
foreach(type IN LISTS ALL_TYPES)
file(APPEND ${HOST_TABLE_FILE} " /*${idx}*/ ${last_valid_fn_id}, // ncclFunction_OneRankReduce_PreMulSum_${type}\n")
## Increment the index and func id for each OneRankReduce
math(EXPR idx "${idx} + 1")
math(EXPR last_valid_fn_id "${last_valid_fn_id} + 1")
endforeach()
file(APPEND ${HOST_TABLE_FILE} "${last_valid_fn_id}};\n\n")
## Add the host_table file to HIP_SOURCES
@@ -302,13 +289,13 @@ function(gen_msccl_kernels)
if (REDOP_CURRENT STREQUAL "SumPostDiv" AND DATA_TYPE IN_LIST FLOATS_LIST)
continue() # Skip the iteration for FLOATS_LIST when REDOP_CURRENT is SumPostDiv
endif()
set(FILE_NAME "${HIPIFY_DIR}/src/collectives/device/msccl_kernel_${REDOP_CURRENT}_${DATA_TYPE}.cpp")
set(FILE_NAME "${HIPIFY_DIR}/src/device/msccl_kernel_${REDOP_CURRENT}_${DATA_TYPE}.cpp")
message(STATUS "Generating ${FILE_NAME}")
file(WRITE ${FILE_NAME}
"#include \"msccl_kernel_impl.h\"
#include \"primitives.h\"
#include \"collectives.h\"
#include \"devcomm.h\"
#include \"nccl_common.h\"
#include \"device.h\"
MSCCL_IMPL_KERNEL_ENTRY_FUNC_DEVREDOP_TYPE(${REDOP_CURRENT}, ${DATA_TYPE}, false);
MSCCL_IMPL_KERNEL_ENTRY_FUNC_DEVREDOP_TYPE(${REDOP_CURRENT}, ${DATA_TYPE}, true);")
list(APPEND HIP_SOURCES ${FILE_NAME})
@@ -356,7 +343,7 @@ function(gen_collectives)
list(GET components 3 redop)
list(GET components 4 type)
list(APPEND IMPL_LIST "IMPL_COLL_FUNC(${coll}, ${algo}, ${proto}, ${redop}, ${type})\n")
list(APPEND IMPL_LIST "DEFINE_ncclDevFunc(${coll}_${algo}_${proto}_${redop}_${type}, ncclFunc${coll}, Func${redop}, ${type}, NCCL_ALGO_${algo}, NCCL_PROTO_${proto})\n")
# Increment the function id
math(EXPR index "${index} + 1")
@@ -371,7 +358,7 @@ function(gen_collectives)
endif()
## Set name/path of the file
set(FILE_PATH "${HIPIFY_DIR}/src/collectives/device/${list_name}.cpp")
set(FILE_PATH "${HIPIFY_DIR}/src/device/${list_name}.cpp")
message(STATUS "Generating ${FILE_PATH}")
## Construct the file
projects/rccl/ext-net/example/Makefile
+1 -1
Melihat File
@@ -5,7 +5,7 @@
#
NCCL_HOME:=../../build/
CUDA_HOME:=/usr/local/cuda
INC:= -I$(NCCL_HOME)/include -I$(CUDA_HOME)/include
INC:= -I$(NCCL_HOME)/include -I$(CUDA_HOME)/include -Inccl
PLUGIN_SO:=libnccl-net.so
default: $(PLUGIN_SO)
projects/rccl/ext-net/example/nccl/net.h
+1
Melihat File
@@ -24,6 +24,7 @@ typedef enum {NCCL_INIT=1, NCCL_COLL=2, NCCL_P2P=4, NCCL_SHM=8, NCCL_NET=16, NCC
typedef void (*ncclDebugLogger_t)(ncclDebugLogLevel level, unsigned long flags, const char *file, int line, const char *fmt, ...);
#include "net_v7.h"
#include "net_v6.h"
#include "net_v5.h"
#include "net_v4.h"
projects/rccl/ext-net/example/nccl/net_device.h
+31
Melihat File
@@ -0,0 +1,31 @@
/*************************************************************************
* Copyright (c) 2023-2023, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#ifndef NET_DEVICE_H_
#define NET_DEVICE_H_
#include "net_device.h"
#define NCCL_NET_DEVICE_INVALID_VERSION 0x0
#define NCCL_NET_MTU_SIZE 4096
// Arbitrary version number - A given NCCL build will only be compatible with a single device networking plugin
// version. NCCL will check the supplied version number from net->getProperties() and compare to its internal version.
#define NCCL_NET_DEVICE_UNPACK_VERSION 0x7
typedef enum {NCCL_NET_DEVICE_HOST=0, NCCL_NET_DEVICE_UNPACK=1} ncclNetDeviceType;
typedef struct {
ncclNetDeviceType netDeviceType; // Network offload type
int netDeviceVersion; // Version number for network offload
void* handle;
size_t size;
int needsProxyProgress;
} ncclNetDeviceHandle_v7_t;
typedef ncclNetDeviceHandle_v7_t ncclNetDeviceHandle_t;
#endif
projects/rccl/ext-net/example/nccl/net_v6.h
-2
Melihat File
@@ -18,8 +18,6 @@ typedef struct {
int maxRecvs; // Maximum number of grouped receives.
}ncclNetProperties_v6_t;
typedef ncclNetProperties_v6_t ncclNetProperties_t;
typedef struct {
// Name of the network (mainly for logs)
const char* name;
projects/rccl/ext-net/example/nccl/net_v7.h
+79
Melihat File
@@ -0,0 +1,79 @@
/*
* Copyright (c) 2017-2022, NVIDIA CORPORATION. All rights reserved.
*/
#ifndef NCCL_NET_V7_H_
#define NCCL_NET_V7_H_
#include "net_device.h"
typedef struct {
char* name; // Used mostly for logging.
char* pciPath; // Path to the PCI device in /sys.
uint64_t guid; // Unique identifier for the NIC chip. Important for
// cards with multiple PCI functions (Physical or virtual).
int ptrSupport; // [NCCL_PTR_HOST|NCCL_PTR_CUDA|NCCL_PTR_DMABUF]
int speed; // Port speed in Mbps.
int port; // Port number.
float latency; // Network latency
int maxComms; // Maximum number of comms we can create
int maxRecvs; // Maximum number of grouped receives.
ncclNetDeviceType netDeviceType; // Network offload type
int netDeviceVersion; // Version number for network offload
} ncclNetProperties_v7_t;
typedef ncclNetProperties_v7_t ncclNetProperties_t;
typedef struct {
// Name of the network (mainly for logs)
const char* name;
// Initialize the network.
ncclResult_t (*init)(ncclDebugLogger_t logFunction);
// Return the number of adapters.
ncclResult_t (*devices)(int* ndev);
// Get various device properties.
ncclResult_t (*getProperties)(int dev, ncclNetProperties_v7_t* props);
// Create a receiving object and provide a handle to connect to it. The
// handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged
// between ranks to create a connection.
ncclResult_t (*listen)(int dev, void* handle, void** listenComm);
// Connect to a handle and return a sending comm object for that peer.
// This call must not block for the connection to be established, and instead
// should return successfully with sendComm == NULL with the expectation that
// it will be called again until sendComm != NULL.
ncclResult_t (*connect)(int dev, void* handle, void** sendComm, ncclNetDeviceHandle_v7_t** sendDevComm);
// Finalize connection establishment after remote peer has called connect.
// This call must not block for the connection to be established, and instead
// should return successfully with recvComm == NULL with the expectation that
// it will be called again until recvComm != NULL.
ncclResult_t (*accept)(void* listenComm, void** recvComm, ncclNetDeviceHandle_v7_t** recvDevComm);
// Register/Deregister memory. Comm can be either a sendComm or a recvComm.
// Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA.
ncclResult_t (*regMr)(void* comm, void* data, int size, int type, void** mhandle);
/* DMA-BUF support */
ncclResult_t (*regMrDmaBuf)(void* comm, void* data, size_t size, int type, uint64_t offset, int fd, void** mhandle);
ncclResult_t (*deregMr)(void* comm, void* mhandle);
// Asynchronous send to a peer.
// May return request == NULL if the call cannot be performed (or would block)
ncclResult_t (*isend)(void* sendComm, void* data, int size, int tag, void* mhandle, void** request);
// Asynchronous recv from a peer.
// May return request == NULL if the call cannot be performed (or would block)
ncclResult_t (*irecv)(void* recvComm, int n, void** data, int* sizes, int* tags, void** mhandles, void** request);
// Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is
// visible to the GPU
ncclResult_t (*iflush)(void* recvComm, int n, void** data, int* sizes, void** mhandles, void** request);
// Test whether a request is complete. If size is not NULL, it returns the
// number of bytes sent/received.
ncclResult_t (*test)(void* request, int* done, int* sizes);
// Close and free send/recv comm objects
ncclResult_t (*closeSend)(void* sendComm);
ncclResult_t (*closeRecv)(void* recvComm);
ncclResult_t (*closeListen)(void* listenComm);
// Copy the given mhandle to a dptr in a format usable by this plugin's device code
ncclResult_t (*getDeviceMr)(void* comm, void* mhandle, void** dptr_mhandle);
// Notify the plugin that a recv has completed by the device
ncclResult_t (*irecvConsumed)(void* recvComm, int n, void* request);
} ncclNet_v7_t;
#endif // end include guard
projects/rccl/ext-net/example/plugin.c
+48 -13
Melihat File
@@ -4,7 +4,7 @@
* See LICENSE.txt for license information
************************************************************************/
#include <nccl/net.h>
#include "net.h"
#define __hidden __attribute__ ((visibility("hidden")))
@@ -15,14 +15,14 @@ __hidden ncclResult_t pluginDevices(int* ndev) { *ndev = 0; return ncclSuccess;
__hidden ncclResult_t pluginPciPath(int dev, char** path) { return ncclInternalError; }
__hidden ncclResult_t pluginPtrSupport(int dev, int* supportedTypes) { return ncclInternalError; }
__hidden ncclResult_t pluginGetProperties(int dev, ncclNetProperties_v6_t* props) {
__hidden ncclResult_t pluginGetProperties(int dev, ncclNetProperties_v7_t* props) {
//pluginPciPath(dev, &props.pciPath);
//pluginPtrSupport(dev, &props.ptrSupport);
return ncclInternalError;
}
__hidden ncclResult_t pluginListen(int dev, void* handle, void** listenComm) { return ncclInternalError; }
__hidden ncclResult_t pluginConnect(int dev, void* handle, void** sendComm) { return ncclInternalError; }
__hidden ncclResult_t pluginAccept(void* listenComm, void** recvComm) { return ncclInternalError; }
__hidden ncclResult_t pluginConnect(int dev, void* handle, void** sendComm, ncclNetDeviceHandle_v7_t** sendDevComm) { return ncclInternalError; }
__hidden ncclResult_t pluginAccept(void* listenComm, void** recvComm, ncclNetDeviceHandle_v7_t** recvDevComm) { return ncclInternalError; }
__hidden ncclResult_t pluginRegMr(void* collComm, void* data, int size, int type, void** mhandle) { return ncclInternalError; }
__hidden ncclResult_t pluginRegMrDmaBuf(void* collComm, void* data, size_t size, int type, uint64_t offset, int fd, void** mhandle) { return ncclInternalError; }
__hidden ncclResult_t pluginDeregMr(void* collComm, void* mhandle) { return ncclInternalError;}
@@ -33,10 +33,12 @@ __hidden ncclResult_t pluginTest(void* request, int* done, int* size) { return n
__hidden ncclResult_t pluginCloseSend(void* sendComm) { return ncclInternalError; }
__hidden ncclResult_t pluginCloseRecv(void* recvComm) { return ncclInternalError; }
__hidden ncclResult_t pluginCloseListen(void* listenComm) { return ncclInternalError; }
__hidden ncclResult_t pluginIrecvConsumed(void* recvComm, int n, void* request) { return ncclInternalError; }
__hidden ncclResult_t pluginGetDeviceMr(void* comm, void* mhandle, void** dptr_mhandle) { return ncclInternalError; }
#define PLUGIN_NAME "Plugin"
const ncclNet_v6_t ncclNetPlugin_v6 = {
const ncclNet_v7_t ncclNetPlugin_v7 = {
.name = PLUGIN_NAME,
.init = pluginInit,
.devices = pluginDevices,
@@ -54,6 +56,37 @@ const ncclNet_v6_t ncclNetPlugin_v6 = {
.closeSend = pluginCloseSend,
.closeRecv = pluginCloseRecv,
.closeListen = pluginCloseListen,
.getDeviceMr = pluginGetDeviceMr,
.irecvConsumed = pluginIrecvConsumed,
};
__hidden ncclResult_t pluginGetProperties_v6(int dev, ncclNetProperties_v6_t* props) {
//pluginPciPath(dev, &props.pciPath);
//pluginPtrSupport(dev, &props.ptrSupport);
return ncclInternalError;
}
__hidden ncclResult_t pluginConnect_v6(int dev, void* handle, void** sendComm) { return ncclInternalError; }
__hidden ncclResult_t pluginAccept_v6(void* listenComm, void** recvComm) { return ncclInternalError; }
const ncclNet_v6_t ncclNetPlugin_v6 = {
.name = PLUGIN_NAME,
.init = pluginInit,
.devices = pluginDevices,
.getProperties = pluginGetProperties_v6,
.listen = pluginListen,
.connect = pluginConnect_v6,
.accept = pluginAccept_v6,
.regMr = pluginRegMr,
.regMrDmaBuf = pluginRegMrDmaBuf,
.deregMr = pluginDeregMr,
.isend = pluginIsend,
.irecv = pluginIrecv,
.iflush = pluginIflush,
.test = pluginTest,
.closeSend = pluginCloseSend,
.closeRecv = pluginCloseRecv,
.closeListen = pluginCloseListen
};
/* v5 Compat */
@@ -61,10 +94,10 @@ const ncclNet_v5_t ncclNetPlugin_v5 = {
.name = PLUGIN_NAME,
.init = pluginInit,
.devices = pluginDevices,
.getProperties = pluginGetProperties,
.getProperties = pluginGetProperties_v6,
.listen = pluginListen,
.connect = pluginConnect,
.accept = pluginAccept,
.connect = pluginConnect_v6,
.accept = pluginAccept_v6,
.regMr = pluginRegMr,
.deregMr = pluginDeregMr,
.isend = pluginIsend,
@@ -79,7 +112,7 @@ const ncclNet_v5_t ncclNetPlugin_v5 = {
/* v4 Compat */
static ncclResult_t pluginGetProperties_v4(int dev, ncclNetProperties_v4_t* props) {
ncclNetProperties_v6_t props_v6;
ncclResult_t ret = pluginGetProperties(dev, &props_v6);
ncclResult_t ret = pluginGetProperties_v6(dev, &props_v6);
if (ret != ncclSuccess) return ret;
props->name = props_v6.name;
props->pciPath = props_v6.pciPath;
@@ -103,14 +136,16 @@ static ncclResult_t pluginIflush_v4(void* recvComm, void* data, int size, void*
static ncclResult_t pluginConnect_v4(int dev, void* handle, void** sendComm) {
ncclResult_t ret;
do {
ret = pluginConnect(dev, handle, sendComm);
ncclNetDeviceHandle_v7_t* handle = NULL;
ret = pluginConnect(dev, handle, sendComm, &handle);
} while (ret == ncclSuccess && *sendComm == NULL);
return ret;
}
static ncclResult_t pluginAccept_v4(void* listenComm, void** recvComm) {
ncclResult_t ret;
do {
ret = pluginAccept(listenComm, recvComm);
ncclNetDeviceHandle_v7_t* handle = NULL;
ret = pluginAccept(listenComm, recvComm, &handle);
} while (ret == ncclSuccess && *recvComm == NULL);
return ret;
}
@@ -151,12 +186,12 @@ static ncclResult_t pluginInit_v3(ncclDebugLogger_t logFunction) {
static ncclResult_t pluginListen_v3(int dev, void* handle, void** listenComm) {
char pluginHandle[NCCL_NET_HANDLE_MAXSIZE];
ncclResult_t ret = pluginListen(dev, &pluginHandle, listenComm);
memcpy(handle, &pluginHandle, NCCL_NET_HANDLE_MAXSIZE_V3);
memcpy(handle, &pluginHandle, NCCL_NET_HANDLE_MAXSIZE_V4);
return ret;
}
static ncclResult_t pluginConnect_v3(int dev, void* handle, void** sendComm) {
char pluginHandle[NCCL_NET_HANDLE_MAXSIZE];
memcpy(&pluginHandle, handle, NCCL_NET_HANDLE_MAXSIZE_V3);
memcpy(&pluginHandle, handle, NCCL_NET_HANDLE_MAXSIZE_V4);
return pluginConnect_v4(dev, &pluginHandle, sendComm);
}
const ncclNet_v3_t ncclNetPlugin_v3 = {
projects/rccl/ext-tuner/example/Makefile
+17
Melihat File
@@ -0,0 +1,17 @@
#
# Copyright (c) 2015-2019, NVIDIA CORPORATION. All rights reserved.
#
# See LICENSE.txt for license information
#
NCCL_HOME:=../../build/
CUDA_HOME:=/usr/local/cuda
INC:= -I$(NCCL_HOME)/include -I$(CUDA_HOME)/include -Inccl
PLUGIN_SO:=libnccl-tuner.so
default: $(PLUGIN_SO)
$(PLUGIN_SO): plugin.c
$(CC) $(INC) -fPIC -shared -o $@ -Wl,-soname,$(PLUGIN_SO) $^
clean:
rm -f $(PLUGIN_SO)
projects/rccl/ext-tuner/example/nccl/tuner.h
+77
Melihat File
@@ -0,0 +1,77 @@
/*************************************************************************
* Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2023, Meta Platforms, Inc. and affiliates.
*
* See LICENSE.txt for license information
************************************************************************/
#ifndef NCCL_TUNER_H_
#define NCCL_TUNER_H_
#include "nccl.h"
typedef enum {NCCL_LOG_NONE=0, NCCL_LOG_VERSION=1, NCCL_LOG_WARN=2, NCCL_LOG_INFO=3, NCCL_LOG_ABORT=4, NCCL_LOG_TRACE=5} ncclDebugLogLevel;
typedef enum {NCCL_INIT=1, NCCL_COLL=2, NCCL_P2P=4, NCCL_SHM=8, NCCL_NET=16, NCCL_GRAPH=32, NCCL_TUNING=64, NCCL_ENV=128, NCCL_ALLOC=256, NCCL_CALL=512, NCCL_PROXY=1024, NCCL_NVLS=2048, NCCL_ALL=~0} ncclDebugLogSubSys;
typedef void (*ncclDebugLogger_t)(ncclDebugLogLevel level, unsigned long flags, const char *file, int line, const char *fmt, ...);
#define NCCL_NUM_FUNCTIONS 5 // Send/Recv not included for now
typedef enum { ncclFuncBroadcast, ncclFuncReduce, ncclFuncAllGather, ncclFuncReduceScatter, ncclFuncAllReduce, ncclFuncSendRecv, ncclFuncSend, ncclFuncRecv, ncclNumFuncs} ncclFunc_t;
#define NCCL_NUM_ALGORITHMS 6 // Tree/Ring/CollNet*
#define NCCL_ALGO_UNDEF -1
#define NCCL_ALGO_TREE 0
#define NCCL_ALGO_RING 1
#define NCCL_ALGO_COLLNET_DIRECT 2
#define NCCL_ALGO_COLLNET_CHAIN 3
#define NCCL_ALGO_NVLS 4
#define NCCL_ALGO_NVLS_TREE 5
#define NCCL_NUM_PROTOCOLS 3 // Simple/LL/LL128
#define NCCL_PROTO_UNDEF -1
#define NCCL_PROTO_LL 0
#define NCCL_PROTO_LL128 1
#define NCCL_PROTO_SIMPLE 2
// API to be implemented by external tuner
typedef struct {
// Name of the tuner
const char* name;
// Initializes tuner states.
// nRanks: number of ranks in current communicator. Each communicator initialize its own tuner.
// nNodes: number of nodes in current communicator.
// logFunction: a logFunction can be useful to integrate logging together with NCCL core.
ncclResult_t (*init)(size_t nRanks, size_t nNodes, ncclDebugLogger_t logFunction);
// Gets info (algo, protocol, number of ctas and threads) for a given collective.
// Inputs:
// - collType: collective type , e.g., allreduce, allgather…
// - nBytes: collective size in bytes
// - collNetSupport: whether collnet supports this type
// - nvlsSupport: whether nvlink sharp supports this time
// - numPipeOps: number of operations in the group
//
// Outputs:
// - algorithm: selected algorithm to be used for the given collective
// - protocol: selected protocol to be used for the given collective
// - nChannels: number of channels (hence SMs) to be used.
//
// If getCollInfo() does not return ncclSuccess, NCCL will fall back to the
// default tuning for the given collective.
// Also, the plugin is allowed to not set any output, or set only the
// algorithm and protocol, but not only the algorithm or only the protocol.
// Unset fields will be set automatically by NCCL.
ncclResult_t (*getCollInfo)(ncclFunc_t collType, size_t nBytes,
int collNetSupport, int nvlsSupport, int numPipeOps,
int *algorithm, int *protocol, int* nChannels);
// Terminates the plugin and cleans up any resources that the plugin allocated.
ncclResult_t (*destroy)();
} ncclTuner_v1_t;
typedef ncclTuner_v1_t ncclTuner_t;
#define NCCL_TUNER_PLUGIN_SYMBOL "ncclTunerPlugin_v1"
#endif
projects/rccl/ext-tuner/example/plugin.c
+26
Melihat File
@@ -0,0 +1,26 @@
/*************************************************************************
* Copyright (c) 2015-2019, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#include "tuner.h"
#define __hidden __attribute__ ((visibility("hidden")))
__hidden ncclResult_t pluginInit(size_t nRanks, size_t nNodes, ncclDebugLogger_t logFunction) { return ncclSuccess; }
__hidden ncclResult_t pluginGetCollInfo(ncclFunc_t collType, size_t nBytes,
int collNetSupport, int nvlsSupport, int numPipeOps,
int *algorithm, int *protocol, int* nChannels) { *algorithm = NCCL_ALGO_RING; *protocol = NCCL_PROTO_SIMPLE; return ncclSuccess; }
__hidden ncclResult_t pluginDestroy() { return ncclSuccess; }
#define PLUGIN_NAME "Example"
const ncclTuner_v1_t ncclTunerPlugin_v1 = {
.name = PLUGIN_NAME,
.init = pluginInit,
.getCollInfo = pluginGetCollInfo,
.destroy = pluginDestroy
};
projects/rccl/makefiles/common.mk
+8
Melihat File
@@ -9,6 +9,7 @@ PREFIX ?= /usr/local
VERBOSE ?= 0
KEEP ?= 0
DEBUG ?= 0
ASAN ?= 0
TRACE ?= 0
PROFAPI ?= 1
NVTX ?= 1
@@ -85,6 +86,13 @@ NVCUFLAGS += -O0 -G -g
CXXFLAGS += -O0 -g -ggdb3
endif
# Make sure to run with ASAN_OPTIONS=protect_shadow_gap=0 otherwise CUDA will fail with OOM
ifneq ($(ASAN), 0)
CXXFLAGS += -fsanitize=address
LDFLAGS += -fsanitize=address -static-libasan
NVLDFLAGS += -Xcompiler -fsanitize=address,-static-libasan
endif
ifneq ($(VERBOSE), 0)
NVCUFLAGS += -Xptxas -v -Xcompiler -Wall,-Wextra,-Wno-unused-parameter
CXXFLAGS += -Wall -Wextra
projects/rccl/makefiles/version.mk
+2 -2
Melihat File
@@ -1,6 +1,6 @@
##### version
NCCL_MAJOR := 2
NCCL_MINOR := 18
NCCL_PATCH := 6
NCCL_MINOR := 19
NCCL_PATCH := 3
NCCL_SUFFIX :=
PKG_REVISION := 1
projects/rccl/src/Makefile
+14 -20
Melihat File
@@ -3,19 +3,17 @@
#
# See LICENSE.txt for license information
#
include ../makefiles/common.mk
include ../makefiles/version.mk
##### src files
INCEXPORTS := nccl.h nccl_net.h
LIBSRCFILES := init.cc init_nvtx.cc channel.cc bootstrap.cc transport.cc enqueue.cc group.cc debug.cc proxy.cc net.cc \
misc/cudawrap.cc misc/nvmlwrap.cc misc/ibvsymbols.cc misc/ibvwrap.cc misc/gdrwrap.cc \
misc/utils.cc misc/argcheck.cc misc/socket.cc misc/shmutils.cc misc/profiler.cc misc/param.cc misc/strongstream.cc \
misc/ipcsocket.cc \
transport/p2p.cc transport/shm.cc transport/net.cc transport/net_socket.cc transport/net_ib.cc transport/coll_net.cc transport/nvls.cc \
collectives/sendrecv.cc collectives/all_reduce.cc collectives/all_gather.cc collectives/broadcast.cc collectives/reduce.cc collectives/reduce_scatter.cc \
graph/topo.cc graph/paths.cc graph/search.cc graph/connect.cc graph/rings.cc graph/trees.cc graph/tuning.cc graph/xml.cc
LIBSRCFILES := \
bootstrap.cc channel.cc collectives.cc debug.cc enqueue.cc group.cc \
init.cc init_nvtx.cc net.cc proxy.cc transport.cc \
$(wildcard graph/*.cc) \
$(wildcard misc/*.cc) \
$(wildcard transport/*.cc)
##### lib files
LIBNAME := libnccl.so
@@ -45,7 +43,7 @@ LIBOBJ := $(LIBSRCFILES:%.cc=$(OBJDIR)/%.o)
DEPFILES := $(LIBOBJ:%.o=%.d)
LDFLAGS += -L${CUDA_LIB} -l$(CUDARTLIB) -lpthread -lrt -ldl
DEVICELIB := $(BUILDDIR)/obj/collectives/device/colldevice.a
DEVMANIFEST := $(BUILDDIR)/obj/device/manifest
##### rules
build : lib staticlib
@@ -54,8 +52,8 @@ lib : $(INCTARGETS) $(LIBDIR)/$(LIBTARGET) $(PKGDIR)/$(PKGTARGET)
staticlib : $(LIBDIR)/$(STATICLIBTARGET)
$(DEVICELIB): ALWAYS_REBUILD $(INCTARGETS)
$(MAKE) -C collectives/device
$(DEVMANIFEST): ALWAYS_REBUILD $(INCTARGETS)
$(MAKE) -C ./device
# Empty target to force rebuild
ALWAYS_REBUILD:
@@ -75,21 +73,17 @@ $(INCDIR)/nccl.h : nccl.h.in ../makefiles/version.mk
-e "s/\$${nccl:Version}/$(NCCL_VERSION)/g" \
$< > $@
$(LIBDIR)/$(LIBTARGET): $(LIBOBJ) $(DEVICELIB)
$(LIBDIR)/$(LIBTARGET): $(LIBOBJ) $(DEVMANIFEST)
@printf "Linking %-35s > %s\n" $(LIBTARGET) $@
mkdir -p $(LIBDIR)
$(CXX) $(CXXFLAGS) -shared -Wl,--no-as-needed -Wl,-soname,$(LIBSONAME) -o $@ $(LIBOBJ) $(DEVICELIB) $(LDFLAGS)
$(CXX) $(CXXFLAGS) -shared -Wl,--no-as-needed -Wl,-soname,$(LIBSONAME) -o $@ $(LIBOBJ) $$(cat $(DEVMANIFEST)) $(LDFLAGS)
ln -sf $(LIBSONAME) $(LIBDIR)/$(LIBNAME)
ln -sf $(LIBTARGET) $(LIBDIR)/$(LIBSONAME)
null :=
space := $(null) #
comma := ,
$(LIBDIR)/$(STATICLIBTARGET): $(LIBOBJ) $(DEVICELIB)
$(LIBDIR)/$(STATICLIBTARGET): $(LIBOBJ) $(DEVMANIFEST)
@printf "Archiving %-35s > %s\n" $(STATICLIBTARGET) $@
mkdir -p $(LIBDIR)
printf "create $@\naddlib $(DEVICELIB)\naddmod $(subst $(space),$(comma),$(strip $(LIBOBJ)))\nsave\nend" | ar -M
ar cr $@ $(LIBOBJ) $$(cat $(DEVMANIFEST))
$(PKGDIR)/nccl.pc : nccl.pc.in
mkdir -p $(PKGDIR)
@@ -126,7 +120,7 @@ $(OBJDIR)/%.o : %.cc $(INCTARGETS)
@rm -f $(@:%.o=%.d.tmp)
clean :
$(MAKE) -C collectives/device clean
$(MAKE) -C device clean
rm -rf ${INCDIR} ${LIBDIR} ${PKGDIR} ${OBJDIR}
install : build
projects/rccl/src/bootstrap.cc
+6 -2
Melihat File
@@ -13,6 +13,7 @@
#include <sys/types.h>
#include "proxy.h"
#include "signals.h" // [RCCL]
#include "param.h"
struct bootstrapRootArgs {
struct ncclSocket* listenSock;
@@ -29,21 +30,24 @@ ncclResult_t bootstrapNetInit() {
if (bootstrapNetInitDone == 0) {
pthread_mutex_lock(&bootstrapNetLock);
if (bootstrapNetInitDone == 0) {
char* env = getenv("NCCL_COMM_ID");
const char* env = ncclGetEnv("NCCL_COMM_ID");
if (env) {
union ncclSocketAddress remoteAddr;
if (ncclSocketGetAddrFromString(&remoteAddr, env) != ncclSuccess) {
WARN("Invalid NCCL_COMM_ID, please use format: <ipv4>:<port> or [<ipv6>]:<port> or <hostname>:<port>");
pthread_mutex_unlock(&bootstrapNetLock);
return ncclInvalidArgument;
}
if (ncclFindInterfaceMatchSubnet(bootstrapNetIfName, &bootstrapNetIfAddr, &remoteAddr, MAX_IF_NAME_SIZE, 1) <= 0) {
WARN("NET/Socket : No usable listening interface found");
pthread_mutex_unlock(&bootstrapNetLock);
return ncclSystemError;
}
} else {
int nIfs = ncclFindInterfaces(bootstrapNetIfName, &bootstrapNetIfAddr, MAX_IF_NAME_SIZE, 1);
if (nIfs <= 0) {
WARN("Bootstrap : no socket interface found");
pthread_mutex_unlock(&bootstrapNetLock);
return ncclInternalError;
}
}
@@ -190,7 +194,7 @@ ncclResult_t bootstrapGetUniqueId(struct ncclBootstrapHandle* handle) {
memset(handle, 0, sizeof(ncclBootstrapHandle));
NCCLCHECK(getRandomData(&handle->magic, sizeof(handle->magic)));
char* env = getenv("NCCL_COMM_ID");
const char* env = ncclGetEnv("NCCL_COMM_ID");
if (env) {
INFO(NCCL_ENV, "NCCL_COMM_ID set by environment to %s", env);
if (ncclSocketGetAddrFromString(&handle->addr, env) != ncclSuccess) {
projects/rccl/src/collectives.cc
+332
Melihat File
@@ -0,0 +1,332 @@
/*************************************************************************
* Copyright (c) 2015-2023, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#include "argcheck.h" // Need some checks here since we access comm
#include "collectives.h"
#include "enqueue.h"
#include "graph/topo.h"
#include "nccl.h"
#include "msccl/msccl_lifecycle.h"
NCCL_API(ncclResult_t, ncclAllGather, const void* sendbuff, void* recvbuff, size_t sendcount,
ncclDataType_t datatype, ncclComm_t comm, cudaStream_t stream);
ncclResult_t ncclAllGather(const void* sendbuff, void* recvbuff, size_t sendcount,
ncclDataType_t datatype, ncclComm_t comm, cudaStream_t stream) {
// Just pass the size of one message and not the total bytes sent/received.
constexpr nvtxPayloadSchemaEntry_t AllGatherSchema[] = {
{0, NVTX_PAYLOAD_ENTRY_TYPE_SIZE, "Message size [bytes]"}
};
size_t msgsize = sendcount * ncclTypeSize(datatype);
NVTX3_FUNC_WITH_PARAMS(AllGather, AllGatherSchema, msgsize)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
sendcount, datatype, 0, 0, ncclSum, mscclFuncAllGather, comm, stream);
}
struct ncclInfo info = { ncclFuncAllGather, "AllGather",
sendbuff, recvbuff, sendcount, datatype, ncclSum, 0, comm, stream, /* Args */
ALLGATHER_CHUNKSTEPS, ALLGATHER_SLICESTEPS };
return ncclEnqueueCheck(&info);
}
NCCL_API(ncclResult_t, ncclAllReduce, const void* sendbuff, void* recvbuff, size_t count,
ncclDataType_t datatype, ncclRedOp_t op, ncclComm* comm, cudaStream_t stream);
ncclResult_t ncclAllReduce(const void* sendbuff, void* recvbuff, size_t count,
ncclDataType_t datatype, ncclRedOp_t op, ncclComm* comm, cudaStream_t stream) {
struct NvtxParamsAllReduce {
size_t bytes;
ncclRedOp_t op;
};
// Just pass the size of one message and not the total bytes sent/received.
static constexpr nvtxPayloadSchemaEntry_t AllReduceSchema[] = {
{0, NVTX_PAYLOAD_ENTRY_TYPE_SIZE, "Message size [bytes]"},
{0, NVTX_PAYLOAD_ENTRY_NCCL_REDOP, "Reduction operation", nullptr, 0,
offsetof(NvtxParamsAllReduce, op)}
};
NvtxParamsAllReduce payload{count * ncclTypeSize(datatype), op};
NVTX3_FUNC_WITH_PARAMS(AllReduce, AllReduceSchema, payload)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
count, datatype, 0, 0, op, mscclFuncAllReduce, comm, stream);
}
struct ncclInfo info = { ncclFuncAllReduce, "AllReduce",
sendbuff, recvbuff, count, datatype, op, 0, comm, stream, /* Args */
ALLREDUCE_CHUNKSTEPS, ALLREDUCE_SLICESTEPS };
return ncclEnqueueCheck(&info);
}
NCCL_API(ncclResult_t, ncclAllToAll, const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype,
ncclComm_t comm, hipStream_t stream);
ncclResult_t ncclAllToAll(const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype,
ncclComm_t comm, hipStream_t stream) {
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
count, datatype, 0, 0, ncclSum, mscclFuncAllToAll, comm, stream);
}
size_t rankOffset = count * ncclTypeSize(datatype);
size_t rankAlign = rankOffset & ((~rankOffset) + 1);
// Determine Pivot A2A support now that we know number of channels
if (comm->topo->pivotA2AEnabled && comm->nChannels >= comm->topo->pivotA2ANumBiRings * 2 &&
rankOffset >= 744 * 1024 && rankAlign != 4) {
struct ncclInfo info = { ncclFuncAllToAllPivot, "AllToAllPivot",
sendbuff, recvbuff, count, datatype, ncclSum, 0, comm, stream, /* Args */
ALLTOALL_PIVOT_CHUNKSTEPS, ALLTOALL_PIVOT_SLICESTEPS };
return ncclEnqueueCheck(&info);
} else {
int nRanks;
NCCLCHECK(ncclCommCount(comm, &nRanks));
if (count == 0) return ncclSuccess;
NCCLCHECK(ncclGroupStart());
for (int r=0; r<nRanks; r++) {
NCCLCHECK(ncclSend(((char*)sendbuff)+r*rankOffset, count, datatype, r, comm, stream));
NCCLCHECK(ncclRecv(((char*)recvbuff)+r*rankOffset, count, datatype, r, comm, stream));
}
NCCLCHECK(ncclGroupEnd());
return ncclSuccess;
}
}
NCCL_API(ncclResult_t, ncclAllToAllv, const void *sendbuff, const size_t sendcounts[], const size_t sdispls[],
void *recvbuff, const size_t recvcounts[], const size_t rdispls[],
ncclDataType_t datatype, ncclComm_t comm, hipStream_t stream);
ncclResult_t ncclAllToAllv(const void *sendbuff, const size_t sendcounts[], const size_t sdispls[],
void *recvbuff, const size_t recvcounts[], const size_t rdispls[],
ncclDataType_t datatype, ncclComm_t comm, hipStream_t stream) {
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, sendcounts, sdispls, recvbuff, recvcounts, rdispls,
0, datatype, 0, 0, ncclSum, mscclFuncAllToAllv, comm, stream);
}
int nRanks;
NCCLCHECK(ncclCommCount(comm, &nRanks));
NCCLCHECK(ncclGroupStart());
for (int r=0; r<nRanks; r++) {
if (sendcounts[r]) NCCLCHECK(ncclSend(
((char*)sendbuff) + sdispls[r]*ncclTypeSize(datatype),
sendcounts[r],
datatype,
r,
comm,
stream));
if (recvcounts[r]) NCCLCHECK(ncclRecv(
((char*)recvbuff) + rdispls[r]*ncclTypeSize(datatype),
recvcounts[r],
datatype,
r,
comm,
stream));
}
NCCLCHECK(ncclGroupEnd());
return ncclSuccess;
}
NCCL_API(ncclResult_t, ncclBroadcast, const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, int root,
ncclComm_t comm, cudaStream_t stream);
ncclResult_t ncclBroadcast(const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, int root,
ncclComm_t comm, cudaStream_t stream) {
struct NvtxParamsBroadcast {
size_t bytes;
int root;
};
constexpr nvtxPayloadSchemaEntry_t BroadcastSchema[] = {
{0, NVTX_PAYLOAD_ENTRY_TYPE_SIZE, "Bytes"},
{0, NVTX_PAYLOAD_ENTRY_TYPE_INT, "Root", nullptr, 0, offsetof(NvtxParamsBroadcast, root)}
};
NvtxParamsBroadcast payload{count * ncclTypeSize(datatype), root};
NVTX3_FUNC_WITH_PARAMS(Broadcast, BroadcastSchema, payload)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
count, datatype, root, 0, ncclSum, mscclFuncBroadcast, comm, stream);
}
struct ncclInfo info = { ncclFuncBroadcast, "Broadcast",
sendbuff, recvbuff, count, datatype, ncclSum, root, comm, stream, /* Args */
BROADCAST_CHUNKSTEPS, BROADCAST_SLICESTEPS };
return ncclEnqueueCheck(&info);
}
/* Deprecated original "in place" function, similar to MPI */
NCCL_API(ncclResult_t, ncclBcast, void* buff, size_t count, ncclDataType_t datatype, int root,
ncclComm_t comm, cudaStream_t stream);
ncclResult_t ncclBcast(void* buff, size_t count, ncclDataType_t datatype, int root,
ncclComm_t comm, cudaStream_t stream) {
return ncclBroadcast(buff, buff, count, datatype, root, comm, stream);
}
NCCL_API(ncclResult_t, ncclGather, const void* sendbuff, void* recvbuff, size_t sendcount,
ncclDataType_t datatype, int root, ncclComm_t comm, hipStream_t stream);
ncclResult_t ncclGather(const void* sendbuff, void* recvbuff, size_t sendcount,
ncclDataType_t datatype, int root, ncclComm_t comm, hipStream_t stream) {
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
sendcount, datatype, root, 0, ncclSum, mscclFuncGather, comm, stream);
}
int nRanks;
NCCLCHECK(ncclCommCount(comm, &nRanks));
size_t rankOffset = sendcount * ncclTypeSize(datatype);
if (sendcount == 0) return ncclSuccess;
int rank;
NCCLCHECK(ncclCommUserRank(comm, &rank));
NCCLCHECK(ncclGroupStart());
if (rank == root) {
for (int r=0; r<nRanks; r++)
NCCLCHECK(ncclRecv(((char*)recvbuff)+r*rankOffset, sendcount, datatype, r, comm, stream));
}
NCCLCHECK(ncclSend(sendbuff, sendcount, datatype, root, comm, stream));
NCCLCHECK(ncclGroupEnd());
return ncclSuccess;
}
NCCL_API(ncclResult_t, ncclReduce, const void* sendbuff, void* recvbuff, size_t count,
ncclDataType_t datatype, ncclRedOp_t op, int root, ncclComm_t comm, cudaStream_t stream);
ncclResult_t ncclReduce(const void* sendbuff, void* recvbuff, size_t count,
ncclDataType_t datatype, ncclRedOp_t op, int root, ncclComm_t comm, cudaStream_t stream) {
struct NvtxParamsReduce {
size_t bytes;
int root;
ncclRedOp_t op;
};
constexpr nvtxPayloadSchemaEntry_t ReduceSchema[] = {
{0, NVTX_PAYLOAD_ENTRY_TYPE_SIZE, "Message size [bytes]"},
{0, NVTX_PAYLOAD_ENTRY_TYPE_INT, "Root", nullptr, 0, offsetof(NvtxParamsReduce, root)},
{0, NVTX_PAYLOAD_ENTRY_NCCL_REDOP, "Reduction operation", nullptr, 0,
offsetof(NvtxParamsReduce, op)}
};
NvtxParamsReduce payload{count * ncclTypeSize(datatype), root, op};
NVTX3_FUNC_WITH_PARAMS(Reduce, ReduceSchema, payload)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
count, datatype, root, 0, op, mscclFuncReduce, comm, stream);
}
struct ncclInfo info = { ncclFuncReduce, "Reduce",
sendbuff, recvbuff, count, datatype, op, root, comm, stream, /* Args */
REDUCE_CHUNKSTEPS, REDUCE_SLICESTEPS };
return ncclEnqueueCheck(&info);
}
NCCL_API(ncclResult_t, ncclReduceScatter, const void* sendbuff, void* recvbuff, size_t recvcount,
ncclDataType_t datatype, ncclRedOp_t op, ncclComm* comm, cudaStream_t stream);
ncclResult_t ncclReduceScatter(const void* sendbuff, void* recvbuff, size_t recvcount,
ncclDataType_t datatype, ncclRedOp_t op, ncclComm* comm, cudaStream_t stream) {
struct NvtxParamsReduceScatter {
size_t bytes;
ncclRedOp_t op;
};
constexpr nvtxPayloadSchemaEntry_t ReduceScatterSchema[] = {
{0, NVTX_PAYLOAD_ENTRY_TYPE_SIZE, "Message size [bytes]"},
{0, NVTX_PAYLOAD_ENTRY_NCCL_REDOP, "Reduction operation", nullptr, 0,
offsetof(NvtxParamsReduceScatter, op)}
};
NvtxParamsReduceScatter payload{recvcount * ncclTypeSize(datatype), op};
NVTX3_FUNC_WITH_PARAMS(ReduceScatter, ReduceScatterSchema, payload)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
recvcount, datatype, 0, 0, op, mscclFuncReduceScatter, comm, stream);
}
struct ncclInfo info = { ncclFuncReduceScatter, "ReduceScatter",
sendbuff, recvbuff, recvcount, datatype, op, 0, comm, stream, /* Args */
REDUCESCATTER_CHUNKSTEPS, REDUCESCATTER_SLICESTEPS };
return ncclEnqueueCheck(&info);
}
NCCL_API(ncclResult_t, ncclScatter, const void* sendbuff, void* recvbuff, size_t recvcount, ncclDataType_t datatype, int root,
ncclComm_t comm, hipStream_t stream);
ncclResult_t ncclScatter(const void* sendbuff, void* recvbuff, size_t recvcount, ncclDataType_t datatype, int root,
ncclComm_t comm, hipStream_t stream) {
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
recvcount, datatype, root, 0, ncclSum, mscclFuncScatter, comm, stream);
}
int nRanks;
NCCLCHECK(ncclCommCount(comm, &nRanks));
size_t rankOffset = recvcount * ncclTypeSize(datatype);
if (recvcount == 0) return ncclSuccess;
int rank;
NCCLCHECK(ncclCommUserRank(comm, &rank));
NCCLCHECK(ncclGroupStart());
if (rank == root) {
for (int r=0; r<nRanks; r++)
NCCLCHECK(ncclSend(((char*)sendbuff)+r*rankOffset, recvcount, datatype, r, comm, stream));
}
NCCLCHECK(ncclRecv(recvbuff, recvcount, datatype, root, comm, stream));
NCCLCHECK(ncclGroupEnd());
return ncclSuccess;
}
struct NvtxParamsSendRecv {
size_t bytes;
int peer;
};
constexpr const nvtxPayloadSchemaEntry_t SendRecvSchema[] = {
{0, NVTX_PAYLOAD_ENTRY_TYPE_SIZE, "Bytes"},
{0, NVTX_PAYLOAD_ENTRY_TYPE_INT, "Peer rank", nullptr, 0, offsetof(NvtxParamsSendRecv, peer)}
};
NCCL_API(ncclResult_t, ncclSend, const void* sendbuff, size_t count, ncclDataType_t datatype, int peer,
ncclComm_t comm, cudaStream_t stream);
ncclResult_t ncclSend(const void* sendbuff, size_t count, ncclDataType_t datatype, int peer,
ncclComm_t comm, cudaStream_t stream) {
NvtxParamsSendRecv payload{count * ncclTypeSize(datatype), peer};
NVTX3_FUNC_WITH_PARAMS(Send, SendRecvSchema, payload)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, nullptr, nullptr, nullptr,
count, datatype, 0, peer, ncclSum, mscclFuncSend, comm, stream);
}
struct ncclInfo info = { ncclFuncSend, "Send",
NULL, (void*)sendbuff, count, datatype, ncclSum, peer, comm, stream, /* Args */
1, 1 };
ncclResult_t ret;
NCCLCHECK(ncclGroupStart());
ret = ncclEnqueueCheck(&info);
NCCLCHECK(ncclGroupEnd());
return ret;
}
NCCL_API(ncclResult_t, ncclRecv, void* recvbuff, size_t count, ncclDataType_t datatype, int peer,
ncclComm_t comm, cudaStream_t stream);
ncclResult_t ncclRecv(void* recvbuff, size_t count, ncclDataType_t datatype, int peer,
ncclComm_t comm, cudaStream_t stream) {
NvtxParamsSendRecv payload{count * ncclTypeSize(datatype), peer};
NVTX3_FUNC_WITH_PARAMS(Recv, SendRecvSchema, payload)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
nullptr, nullptr, nullptr, recvbuff, nullptr, nullptr,
count, datatype, 0, peer, ncclSum, mscclFuncRecv, comm, stream);
}
struct ncclInfo info = { ncclFuncRecv, "Recv",
NULL, recvbuff, count, datatype, ncclSum, peer, comm, stream, /* Args */
1, 1 };
ncclResult_t ret;
NCCLCHECK(ncclGroupStart());
ret = ncclEnqueueCheck(&info);
NCCLCHECK(ncclGroupEnd());
return ret;
}
projects/rccl/src/collectives/all_gather.cc
-34
Melihat File
@@ -1,34 +0,0 @@
/*************************************************************************
* Copyright (c) 2015-2020, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) Microsoft Corporation. Licensed under the MIT License.
*
* See LICENSE.txt for license information
************************************************************************/
#include "enqueue.h"
#include "collectives.h"
#include "msccl/msccl_lifecycle.h"
NCCL_API(ncclResult_t, ncclAllGather, const void* sendbuff, void* recvbuff, size_t sendcount,
ncclDataType_t datatype, ncclComm_t comm, cudaStream_t stream);
ncclResult_t ncclAllGather(const void* sendbuff, void* recvbuff, size_t sendcount,
ncclDataType_t datatype, ncclComm_t comm, cudaStream_t stream) {
// Just pass the size of one message and not the total bytes sent/received.
constexpr nvtxPayloadSchemaEntry_t AllGatherSchema[] = {
{0, NVTX_PAYLOAD_ENTRY_TYPE_SIZE, "Message size [bytes]"}
};
size_t msgsize = sendcount * ncclTypeSize(datatype);
NVTX3_FUNC_WITH_PARAMS(AllGather, AllGatherSchema, msgsize)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
sendcount, datatype, 0, 0, ncclSum, mscclFuncAllGather, comm, stream);
}
struct ncclInfo info = { ncclFuncAllGather, "AllGather",
sendbuff, recvbuff, sendcount, datatype, ncclSum, 0, comm, stream, /* Args */
ALLGATHER_CHUNKSTEPS, ALLGATHER_SLICESTEPS };
return ncclEnqueueCheck(&info);
}
projects/rccl/src/collectives/all_reduce.cc
-40
Melihat File
@@ -1,40 +0,0 @@
/*************************************************************************
* Copyright (c) 2015-2020, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) Microsoft Corporation. Licensed under the MIT License.
*
* See LICENSE.txt for license information
************************************************************************/
#include "enqueue.h"
#include "nccl.h"
#include "msccl/msccl_lifecycle.h"
NCCL_API(ncclResult_t, ncclAllReduce, const void* sendbuff, void* recvbuff, size_t count,
ncclDataType_t datatype, ncclRedOp_t op, ncclComm* comm, cudaStream_t stream);
ncclResult_t ncclAllReduce(const void* sendbuff, void* recvbuff, size_t count,
ncclDataType_t datatype, ncclRedOp_t op, ncclComm* comm, cudaStream_t stream) {
struct NvtxParamsAllReduce {
size_t bytes;
ncclRedOp_t op;
};
// Just pass the size of one message and not the total bytes sent/received.
static constexpr nvtxPayloadSchemaEntry_t AllReduceSchema[] = {
{0, NVTX_PAYLOAD_ENTRY_TYPE_SIZE, "Message size [bytes]"},
{0, NVTX_PAYLOAD_ENTRY_NCCL_REDOP, "Reduction operation", nullptr, 0,
offsetof(NvtxParamsAllReduce, op)}
};
NvtxParamsAllReduce payload{count * ncclTypeSize(datatype), op};
NVTX3_FUNC_WITH_PARAMS(AllReduce, AllReduceSchema, payload)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
count, datatype, 0, 0, op, mscclFuncAllReduce, comm, stream);
}
struct ncclInfo info = { ncclFuncAllReduce, "AllReduce",
sendbuff, recvbuff, count, datatype, op, 0, comm, stream, /* Args */
ALLREDUCE_CHUNKSTEPS, ALLREDUCE_SLICESTEPS };
return ncclEnqueueCheck(&info);
}
projects/rccl/src/collectives/all_to_all.cc
-46
Melihat File
@@ -1,46 +0,0 @@
/*************************************************************************
* Copyright (c) 2015-2019, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) 2019-2021 Advanced Micro Devices, Inc. All rights reserved.
* Modifications Copyright (c) Microsoft Corporation. Licensed under the MIT License.
*
* See LICENSE.txt for license information
************************************************************************/
#include "enqueue.h"
#include "collectives.h"
#include "graph/topo.h"
#include "msccl/msccl_lifecycle.h"
NCCL_API(ncclResult_t, ncclAllToAll, const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype,
ncclComm_t comm, hipStream_t stream);
ncclResult_t ncclAllToAll(const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype,
ncclComm_t comm, hipStream_t stream) {
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
count, datatype, 0, 0, ncclSum, mscclFuncAllToAll, comm, stream);
}
size_t rankOffset = count * ncclTypeSize(datatype);
size_t rankAlign = rankOffset & ((~rankOffset) + 1);
// Determine Pivot A2A support now that we know number of channels
if (comm->topo->pivotA2AEnabled && comm->nChannels >= comm->topo->pivotA2ANumBiRings * 2 &&
rankOffset >= 744 * 1024 && rankAlign != 4) {
struct ncclInfo info = { ncclFuncAllToAllPivot, "AllToAllPivot",
sendbuff, recvbuff, count, datatype, ncclSum, 0, comm, stream, /* Args */
ALLTOALL_PIVOT_CHUNKSTEPS, ALLTOALL_PIVOT_SLICESTEPS };
return ncclEnqueueCheck(&info);
} else {
int nRanks;
NCCLCHECK(ncclCommCount(comm, &nRanks));
if (count == 0) return ncclSuccess;
NCCLCHECK(ncclGroupStart());
for (int r=0; r<nRanks; r++) {
NCCLCHECK(ncclSend(((char*)sendbuff)+r*rankOffset, count, datatype, r, comm, stream));
NCCLCHECK(ncclRecv(((char*)recvbuff)+r*rankOffset, count, datatype, r, comm, stream));
}
NCCLCHECK(ncclGroupEnd());
return ncclSuccess;
}
}
projects/rccl/src/collectives/all_to_allv.cc
-47
Melihat File
@@ -1,47 +0,0 @@
/*************************************************************************
* Copyright (c) 2015-2019, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) 2019-2021 Advanced Micro Devices, Inc. All rights reserved.
* Modifications Copyright (c) Microsoft Corporation. Licensed under the MIT License.
*
* See LICENSE.txt for license information
************************************************************************/
#include "enqueue.h"
#include "collectives.h"
#include "msccl/msccl_lifecycle.h"
NCCL_API(ncclResult_t, ncclAllToAllv, const void *sendbuff, const size_t sendcounts[], const size_t sdispls[],
void *recvbuff, const size_t recvcounts[], const size_t rdispls[],
ncclDataType_t datatype, ncclComm_t comm, hipStream_t stream);
ncclResult_t ncclAllToAllv(const void *sendbuff, const size_t sendcounts[], const size_t sdispls[],
void *recvbuff, const size_t recvcounts[], const size_t rdispls[],
ncclDataType_t datatype, ncclComm_t comm, hipStream_t stream) {
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, sendcounts, sdispls, recvbuff, recvcounts, rdispls,
0, datatype, 0, 0, ncclSum, mscclFuncAllToAllv, comm, stream);
}
int nRanks;
NCCLCHECK(ncclCommCount(comm, &nRanks));
NCCLCHECK(ncclGroupStart());
for (int r=0; r<nRanks; r++) {
if (sendcounts[r]) NCCLCHECK(ncclSend(
((char*)sendbuff) + sdispls[r]*ncclTypeSize(datatype),
sendcounts[r],
datatype,
r,
comm,
stream));
if (recvcounts[r]) NCCLCHECK(ncclRecv(
((char*)recvbuff) + rdispls[r]*ncclTypeSize(datatype),
recvcounts[r],
datatype,
r,
comm,
stream));
}
NCCLCHECK(ncclGroupEnd());
return ncclSuccess;
}
projects/rccl/src/collectives/broadcast.cc
-46
Melihat File
@@ -1,46 +0,0 @@
/*************************************************************************
* Copyright (c) 2015-2020, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) Microsoft Corporation. Licensed under the MIT License.
*
* See LICENSE.txt for license information
************************************************************************/
#include "enqueue.h"
#include "collectives.h"
#include "msccl/msccl_lifecycle.h"
NCCL_API(ncclResult_t, ncclBroadcast, const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, int root,
ncclComm_t comm, cudaStream_t stream);
ncclResult_t ncclBroadcast(const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, int root,
ncclComm_t comm, cudaStream_t stream) {
struct NvtxParamsBroadcast {
size_t bytes;
int root;
};
constexpr nvtxPayloadSchemaEntry_t BroadcastSchema[] = {
{0, NVTX_PAYLOAD_ENTRY_TYPE_SIZE, "Bytes"},
{0, NVTX_PAYLOAD_ENTRY_TYPE_INT, "Root", nullptr, 0, offsetof(NvtxParamsBroadcast, root)}
};
NvtxParamsBroadcast payload{count * ncclTypeSize(datatype), root};
NVTX3_FUNC_WITH_PARAMS(Broadcast, BroadcastSchema, payload)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
count, datatype, root, 0, ncclSum, mscclFuncBroadcast, comm, stream);
}
struct ncclInfo info = { ncclFuncBroadcast, "Broadcast",
sendbuff, recvbuff, count, datatype, ncclSum, root, comm, stream, /* Args */
BROADCAST_CHUNKSTEPS, BROADCAST_SLICESTEPS };
return ncclEnqueueCheck(&info);
}
/* Deprecated original "in place" function, similar to MPI */
NCCL_API(ncclResult_t, ncclBcast, void* buff, size_t count, ncclDataType_t datatype, int root,
ncclComm_t comm, cudaStream_t stream);
ncclResult_t ncclBcast(void* buff, size_t count, ncclDataType_t datatype, int root,
ncclComm_t comm, cudaStream_t stream) {
return ncclBroadcast(buff, buff, count, datatype, root, comm, stream);
}
projects/rccl/src/collectives/device/Makefile
-76
Melihat File
@@ -1,76 +0,0 @@
#
# Copyright (c) 2015-2021, NVIDIA CORPORATION. All rights reserved.
#
# See LICENSE.txt for license information
#
include ../../../makefiles/common.mk
include ../../../makefiles/version.mk
BUILDDIR ?= $(abspath ../../../build)
OBJDIR := $(BUILDDIR)/obj/collectives/device
LIBSRCFILES := all_reduce.cu broadcast.cu reduce.cu all_gather.cu reduce_scatter.cu sendrecv.cu onerank_reduce.cu
LIBSRCFILES += functions.cu
DEPFILES := $(patsubst %.cu, $(OBJDIR)/%.d, $(LIBSRCFILES))
DEPENDFILES:= $(DEPFILES:%.d=%.dep)
STATICLIB := $(OBJDIR)/colldevice.a
DEVOBJ := $(OBJDIR)/devlink.o
RULESFILE := $(OBJDIR)/Makefile.rules
NVCUFLAGS += -I. -I.. -I$(BUILDDIR)/include -I../../include --compiler-options "-fPIC -fvisibility=hidden"
all: $(STATICLIB)
# Dummy rule so that the extra dependency (%.dep) files are preserved by make
all_deps: $(DEPENDFILES)
# Auto-generating the rules per op/reduction/datatype/algorithm
$(RULESFILE) : gen_rules.sh
@printf "Generating %-35s > %s\n" rules $@
@mkdir -p $(OBJDIR)
@CUDA_MAJOR=${CUDA_MAJOR} CUDA_MINOR=${CUDA_MINOR} ./gen_rules.sh $(OBJDIR) > $@
-include $(RULESFILE)
LIBOBJ := $(GENOBJS) $(OBJDIR)/functions.o $(OBJDIR)/onerank_reduce.o
-include $(DEPFILES)
$(STATICLIB): $(LIBOBJ) $(DEVOBJ)
@printf "Archiving %-35s > %s\n" objects $@
ar cr $@ $^
# We do not want make to build *.d when running make clean.
# So we only provide targets for .dep which will produce .dep and .d,
# with only .d being included, and .dep keeping track of what needs to
# be regenerated.
$(OBJDIR)/%.dep : %.cu
@mkdir -p $(OBJDIR)
@$(NVCC) $(NVCUFLAGS) -M $< -o $@.tmp
@sed "0,/^.*:/s//$(subst /,\/,$@):/" $@.tmp > $@
@sed -e 's/.*://' -e 's/\\$$//' < $@.tmp | fmt -1 | \
sed -e 's/^ *//' -e 's/$$/:/' >> $@
@rm -f $@.tmp
@cp $@ $(@:.dep=.d)
# Compiled kernels and collectives with relocatable device code ...
$(OBJDIR)/functions.o : functions.cu $(OBJDIR)/functions.dep
@printf "Compiling %-35s > %s\n" $< $@
mkdir -p `dirname $@`
$(NVCC) $(NVCUFLAGS) -dc $< -o $@
$(OBJDIR)/onerank_reduce.o : onerank_reduce.cu $(OBJDIR)/onerank_reduce.dep
@printf "Compiling %-35s > %s\n" $< $@
mkdir -p `dirname $@`
$(NVCC) $(NVCUFLAGS) -dc $< -o $@
# ... and create the device-side linked object with all those.
$(DEVOBJ) : $(LIBOBJ)
$(NVCC) $(NVCUFLAGS) -dlink $^ -o $@
clean:
rm -f $(LIBOBJ) $(DEVOBJ) $(DEPFILES) $(DEPENDFILES) $(RULESFILE) $(STATICLIB)
projects/rccl/src/collectives/device/gen_rules.sh
-43
Melihat File
@@ -1,43 +0,0 @@
#!/bin/bash
#
# Copyright (c) 2018-2021, NVIDIA CORPORATION. All rights reserved.
#
# See LICENSE.txt for license information
#
dir=$1
datatypes="i8 u8 i32 u32 i64 u64 f16 f32 f64"
if [ "$CUDA_MAJOR" -ge 11 ]
then
datatypes+=" bf16"
fi
targets="GENOBJS := \\\\\n"
for base in sendrecv all_reduce all_gather broadcast reduce reduce_scatter; do
opn=0
for op in sum prod min max premulsum sumpostdiv; do
dtn=0
# Order must match that of the ncclDataType_t enum
for dt in ${datatypes}; do
# Generate a unique filename for each compilation unit,
# otherwise the __nv_module_id may conflict at link time
echo "${dir}/${base}_${op}_${dt}.cu : ${base}.cu"
echo " @printf \"Copying %-35s > %s\\\\n\" \$< \$@"
echo " cp \$< \$@"
echo ""
# Compile the file
echo "${dir}/${base}_${op}_${dt}.o : ${dir}/${base}_${op}_${dt}.cu ${base}.cu ${dir}/${base}.dep"
echo " @printf \"Compiling %-35s > %s\\\\n\" ${base}.cu ${dir}/${base}_${op}_${dt}.o"
echo " mkdir -p ${dir}"
echo " \${NVCC} -DNCCL_OP=${opn} -DNCCL_TYPE=${dtn} \${NVCUFLAGS} -dc \$< -o \$@"
echo ""
targets="$targets\t${dir}/${base}_${op}_${dt}.o \\\\\n"
dtn=$(($dtn + 1))
done
opn=$(($opn + 1))
done
done
echo -e "$targets"
projects/rccl/src/collectives/device/onerank_reduce.cu
-74
Melihat File
@@ -1,74 +0,0 @@
/*************************************************************************
* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) 2019-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#include "devcomm.h"
#include "collectives.h"
#include "common_kernel.h"
#include "common.h"
namespace {
template<typename T, typename RedOp>
#if defined(USE_INDIRECT_FUNCTION_CALL) && !defined(__gfx940__) && !defined(__gfx941__) && !defined(__gfx942__)
__device__ void oneRankReduce() {
#else
__device__ __attribute__((noinline)) void oneRankReduce() {
#endif
ncclWork *w = &ncclShmem.work;
int tid = threadIdx.x;
int tn = blockDim.x;
#pragma unroll 1
for(int e=0; e < NCCL_MAX_WORK_ELEMENTS && w->elems[e].isUsed; e++) {
ncclWorkElem *we = &w->elems[e];
intptr_t eltN = we->count;
int bid = we->bid;
int bn = we->nChannels;
T const *src = (T const*)we->sendbuff;
T *dst = (T*)we->recvbuff;
// each block/channel gets a roughly equal segment of 16 byte packs
constexpr int EltPerPack = 16/sizeof(T);
intptr_t packN = (eltN + EltPerPack-1) - (eltN + EltPerPack-1)%EltPerPack;
intptr_t i0 = (bid+0)*(packN/bn) + (bid+0 < packN%bn ? bid+0 : packN%bn);
intptr_t i1 = (bid+1)*(packN/bn) + (bid+1 < packN%bn ? bid+1 : packN%bn);
i0 *= EltPerPack;
i0 = i0 < eltN ? i0 : eltN;
i1 *= EltPerPack;
i1 = i1 < eltN ? i1 : eltN;
src += i0;
dst += i0;
void *vsrc = (void*)src;
void *vdst = (void*)dst;
reduceCopy<COLL_UNROLL, RedOp, T, 0,1,1, 0,1,1, /*PreOpSrcs=*/1>
(tid, tn, we->redOpArg, &(we->redOpArg), true, 1, &vsrc, 1, &vdst, i1-i0);
}
}
}
#if defined(USE_INDIRECT_FUNCTION_CALL) && !defined(__gfx940__) && !defined(__gfx941__) && !defined(__gfx942__)
#define INSTANTIATE(devredop, type) \
__device__ void NCCL_ONERANK_REDUCE_NAME(devredop, type)() { \
oneRankReduce<type, Func##devredop<type>>(); \
}
#else
#define INSTANTIATE(devredop, type) \
__device__ __attribute__((noinline)) void NCCL_ONERANK_REDUCE_NAME(devredop, type)() { \
oneRankReduce<type, Func##devredop<type>>(); \
}
#endif
INSTANTIATE(PreMulSum, int8_t)
INSTANTIATE(PreMulSum, uint8_t)
INSTANTIATE(PreMulSum, int32_t)
INSTANTIATE(PreMulSum, uint32_t)
INSTANTIATE(PreMulSum, int64_t)
INSTANTIATE(PreMulSum, uint64_t)
INSTANTIATE(PreMulSum, half)
#if defined(RCCL_BFLOAT16)
INSTANTIATE(PreMulSum, rccl_bfloat16)
#endif
INSTANTIATE(PreMulSum, float)
INSTANTIATE(PreMulSum, double)
projects/rccl/src/collectives/gather.cc
-38
Melihat File
@@ -1,38 +0,0 @@
/*************************************************************************
* Copyright (c) 2015-2019, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) 2019-2021 Advanced Micro Devices, Inc. All rights reserved.
* Modifications Copyright (c) Microsoft Corporation. Licensed under the MIT License.
*
* See LICENSE.txt for license information
************************************************************************/
#include "enqueue.h"
#include "collectives.h"
#include "msccl/msccl_lifecycle.h"
NCCL_API(ncclResult_t, ncclGather, const void* sendbuff, void* recvbuff, size_t sendcount,
ncclDataType_t datatype, int root, ncclComm_t comm, hipStream_t stream);
ncclResult_t ncclGather(const void* sendbuff, void* recvbuff, size_t sendcount,
ncclDataType_t datatype, int root, ncclComm_t comm, hipStream_t stream) {
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
sendcount, datatype, root, 0, ncclSum, mscclFuncGather, comm, stream);
}
int nRanks;
NCCLCHECK(ncclCommCount(comm, &nRanks));
size_t rankOffset = sendcount * ncclTypeSize(datatype);
if (sendcount == 0) return ncclSuccess;
int rank;
NCCLCHECK(ncclCommUserRank(comm, &rank));
NCCLCHECK(ncclGroupStart());
if (rank == root) {
for (int r=0; r<nRanks; r++)
NCCLCHECK(ncclRecv(((char*)recvbuff)+r*rankOffset, sendcount, datatype, r, comm, stream));
}
NCCLCHECK(ncclSend(sendbuff, sendcount, datatype, root, comm, stream));
NCCLCHECK(ncclGroupEnd());
return ncclSuccess;
}
projects/rccl/src/collectives/reduce.cc
-42
Melihat File
@@ -1,42 +0,0 @@
/*************************************************************************
* Copyright (c) 2015-2020, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) Microsoft Corporation. Licensed under the MIT License.
*
* See LICENSE.txt for license information
************************************************************************/
#include "enqueue.h"
#include "collectives.h"
#include "nccl.h"
#include "msccl/msccl_lifecycle.h"
NCCL_API(ncclResult_t, ncclReduce, const void* sendbuff, void* recvbuff, size_t count,
ncclDataType_t datatype, ncclRedOp_t op, int root, ncclComm_t comm, cudaStream_t stream);
ncclResult_t ncclReduce(const void* sendbuff, void* recvbuff, size_t count,
ncclDataType_t datatype, ncclRedOp_t op, int root, ncclComm_t comm, cudaStream_t stream) {
struct NvtxParamsReduce {
size_t bytes;
int root;
ncclRedOp_t op;
};
constexpr nvtxPayloadSchemaEntry_t ReduceSchema[] = {
{0, NVTX_PAYLOAD_ENTRY_TYPE_SIZE, "Message size [bytes]"},
{0, NVTX_PAYLOAD_ENTRY_TYPE_INT, "Root", nullptr, 0, offsetof(NvtxParamsReduce, root)},
{0, NVTX_PAYLOAD_ENTRY_NCCL_REDOP, "Reduction operation", nullptr, 0,
offsetof(NvtxParamsReduce, op)}
};
NvtxParamsReduce payload{count * ncclTypeSize(datatype), root, op};
NVTX3_FUNC_WITH_PARAMS(Reduce, ReduceSchema, payload)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
count, datatype, root, 0, op, mscclFuncReduce, comm, stream);
}
struct ncclInfo info = { ncclFuncReduce, "Reduce",
sendbuff, recvbuff, count, datatype, op, root, comm, stream, /* Args */
REDUCE_CHUNKSTEPS, REDUCE_SLICESTEPS };
return ncclEnqueueCheck(&info);
}
projects/rccl/src/collectives/reduce_scatter.cc
-40
Melihat File
@@ -1,40 +0,0 @@
/*************************************************************************
* Copyright (c) 2015-2020, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) Microsoft Corporation. Licensed under the MIT License.
*
* See LICENSE.txt for license information
************************************************************************/
#include "enqueue.h"
#include "collectives.h"
#include "nccl.h"
#include "msccl/msccl_lifecycle.h"
NCCL_API(ncclResult_t, ncclReduceScatter, const void* sendbuff, void* recvbuff, size_t recvcount,
ncclDataType_t datatype, ncclRedOp_t op, ncclComm* comm, cudaStream_t stream);
ncclResult_t ncclReduceScatter(const void* sendbuff, void* recvbuff, size_t recvcount,
ncclDataType_t datatype, ncclRedOp_t op, ncclComm* comm, cudaStream_t stream) {
struct NvtxParamsReduceScatter {
size_t bytes;
ncclRedOp_t op;
};
constexpr nvtxPayloadSchemaEntry_t ReduceScatterSchema[] = {
{0, NVTX_PAYLOAD_ENTRY_TYPE_SIZE, "Message size [bytes]"},
{0, NVTX_PAYLOAD_ENTRY_NCCL_REDOP, "Reduction operation", nullptr, 0,
offsetof(NvtxParamsReduceScatter, op)}
};
NvtxParamsReduceScatter payload{recvcount * ncclTypeSize(datatype), op};
NVTX3_FUNC_WITH_PARAMS(ReduceScatter, ReduceScatterSchema, payload)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
recvcount, datatype, 0, 0, op, mscclFuncReduceScatter, comm, stream);
}
struct ncclInfo info = { ncclFuncReduceScatter, "ReduceScatter",
sendbuff, recvbuff, recvcount, datatype, op, 0, comm, stream, /* Args */
REDUCESCATTER_CHUNKSTEPS, REDUCESCATTER_SLICESTEPS };
return ncclEnqueueCheck(&info);
}
projects/rccl/src/collectives/scatter.cc
-38
Melihat File
@@ -1,38 +0,0 @@
/*************************************************************************
* Copyright (c) 2015-2019, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) 2019-2021 Advanced Micro Devices, Inc. All rights reserved.
* Modifications Copyright (c) Microsoft Corporation. Licensed under the MIT License.
*
* See LICENSE.txt for license information
************************************************************************/
#include "enqueue.h"
#include "collectives.h"
#include "msccl/msccl_lifecycle.h"
NCCL_API(ncclResult_t, ncclScatter, const void* sendbuff, void* recvbuff, size_t recvcount, ncclDataType_t datatype, int root,
ncclComm_t comm, hipStream_t stream);
ncclResult_t ncclScatter(const void* sendbuff, void* recvbuff, size_t recvcount, ncclDataType_t datatype, int root,
ncclComm_t comm, hipStream_t stream) {
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, recvbuff, nullptr, nullptr,
recvcount, datatype, root, 0, ncclSum, mscclFuncScatter, comm, stream);
}
int nRanks;
NCCLCHECK(ncclCommCount(comm, &nRanks));
size_t rankOffset = recvcount * ncclTypeSize(datatype);
if (recvcount == 0) return ncclSuccess;
int rank;
NCCLCHECK(ncclCommUserRank(comm, &rank));
NCCLCHECK(ncclGroupStart());
if (rank == root) {
for (int r=0; r<nRanks; r++)
NCCLCHECK(ncclSend(((char*)sendbuff)+r*rankOffset, recvcount, datatype, r, comm, stream));
}
NCCLCHECK(ncclRecv(recvbuff, recvcount, datatype, root, comm, stream));
NCCLCHECK(ncclGroupEnd());
return ncclSuccess;
}
projects/rccl/src/collectives/sendrecv.cc
-67
Melihat File
@@ -1,67 +0,0 @@
/*************************************************************************
* Copyright (c) 2015-2022, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) Microsoft Corporation. Licensed under the MIT License.
*
* See LICENSE.txt for license information
************************************************************************/
#include "enqueue.h"
#include "collectives.h"
#include "argcheck.h" // Need some checks here since we access comm
#include "msccl/msccl_lifecycle.h"
struct NvtxParamsSendRecv {
size_t bytes;
int peer;
};
constexpr const nvtxPayloadSchemaEntry_t SendRecvSchema[] = {
{0, NVTX_PAYLOAD_ENTRY_TYPE_SIZE, "Bytes"},
{0, NVTX_PAYLOAD_ENTRY_TYPE_INT, "Peer rank", nullptr, 0, offsetof(NvtxParamsSendRecv, peer)}
};
NCCL_API(ncclResult_t, ncclSend, const void* sendbuff, size_t count, ncclDataType_t datatype, int peer,
ncclComm_t comm, cudaStream_t stream);
ncclResult_t ncclSend(const void* sendbuff, size_t count, ncclDataType_t datatype, int peer,
ncclComm_t comm, cudaStream_t stream) {
NvtxParamsSendRecv payload{count * ncclTypeSize(datatype), peer};
NVTX3_FUNC_WITH_PARAMS(Send, SendRecvSchema, payload)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
sendbuff, nullptr, nullptr, nullptr, nullptr, nullptr,
count, datatype, 0, peer, ncclSum, mscclFuncSend, comm, stream);
}
struct ncclInfo info = { ncclFuncSend, "Send",
NULL, (void*)sendbuff, count, datatype, ncclSum, peer, comm, stream, /* Args */
1, 1 };
ncclResult_t ret;
NCCLCHECK(ncclGroupStart());
ret = ncclEnqueueCheck(&info);
NCCLCHECK(ncclGroupEnd());
return ret;
}
NCCL_API(ncclResult_t, ncclRecv, void* recvbuff, size_t count, ncclDataType_t datatype, int peer,
ncclComm_t comm, cudaStream_t stream);
ncclResult_t ncclRecv(void* recvbuff, size_t count, ncclDataType_t datatype, int peer,
ncclComm_t comm, cudaStream_t stream) {
NvtxParamsSendRecv payload{count * ncclTypeSize(datatype), peer};
NVTX3_FUNC_WITH_PARAMS(Recv, SendRecvSchema, payload)
if (mscclAvailable() && !mscclIsCaller()) {
return mscclEnqueueCheck(
nullptr, nullptr, nullptr, recvbuff, nullptr, nullptr,
count, datatype, 0, peer, ncclSum, mscclFuncRecv, comm, stream);
}
struct ncclInfo info = { ncclFuncRecv, "Recv",
NULL, recvbuff, count, datatype, ncclSum, peer, comm, stream, /* Args */
1, 1 };
ncclResult_t ret;
NCCLCHECK(ncclGroupStart());
ret = ncclEnqueueCheck(&info);
NCCLCHECK(ncclGroupEnd());
return ret;
}
projects/rccl/src/debug.cc
+4 -3
Melihat File
@@ -9,6 +9,7 @@
#include <stdlib.h>
#include <stdarg.h>
#include <sys/syscall.h>
#include "param.h"
int ncclDebugLevel = -1;
static int pid = -1;
@@ -25,7 +26,7 @@ static __thread int tid = -1;
void ncclDebugInit() {
pthread_mutex_lock(&ncclDebugLock);
if (ncclDebugLevel != -1) { pthread_mutex_unlock(&ncclDebugLock); return; }
const char* nccl_debug = getenv("NCCL_DEBUG");
const char* nccl_debug = ncclGetEnv("NCCL_DEBUG");
int tempNcclDebugLevel = -1;
if (nccl_debug == NULL) {
tempNcclDebugLevel = NCCL_LOG_NONE;
@@ -45,7 +46,7 @@ void ncclDebugInit() {
* This can be a comma separated list such as INIT,COLL
* or ^INIT,COLL etc
*/
char* ncclDebugSubsysEnv = getenv("NCCL_DEBUG_SUBSYS");
const char* ncclDebugSubsysEnv = ncclGetEnv("NCCL_DEBUG_SUBSYS");
if (ncclDebugSubsysEnv != NULL) {
int invert = 0;
if (ncclDebugSubsysEnv[0] == '^') { invert = 1; ncclDebugSubsysEnv++; }
@@ -97,7 +98,7 @@ void ncclDebugInit() {
* then create the debug file. But don't bother unless the
* NCCL_DEBUG level is > VERSION
*/
const char* ncclDebugFileEnv = getenv("NCCL_DEBUG_FILE");
const char* ncclDebugFileEnv = ncclGetEnv("NCCL_DEBUG_FILE");
if (tempNcclDebugLevel > NCCL_LOG_VERSION && ncclDebugFileEnv != NULL) {
int c = 0;
char debugFn[PATH_MAX+1] = "";
projects/rccl/src/collectives/device/all_gather.h → projects/rccl/src/device/all_gather.h
+55 -23
Melihat File
@@ -5,7 +5,7 @@
* See LICENSE.txt for license information
************************************************************************/
#include "devcomm.h"
#include "device.h"
#include "collectives.h"
#include "primitives.h"
@@ -198,33 +198,65 @@ struct RunWorkElement<ncclFuncAllGather, T, RedOp, NCCL_ALGO_NVLS, NCCL_PROTO_SI
const ssize_t chunkSize = int(args->lastChunkSize);
const ssize_t size = args->count;
const ssize_t loopSize = nChannels*chunkSize;
const ssize_t rank = ncclShmem.comm.rank;
const int nThreadsGather = 128;
const int nThreadsBcast = 384 + WARP_SIZE;
const int nThreadsBcast = args->regUsed ? (NCCL_MAX_NTHREADS - WARP_SIZE) : 4 * WARP_SIZE;
const int nThreadsGather = args->regUsed ? WARP_SIZE : NCCL_MAX_NTHREADS - nThreadsBcast;
const int tidEndGather = nThreadsGather;
const int tidEndBcast = tidEndGather + nThreadsBcast;
using Proto = ProtoSimple<1, 1>;
if (tid < tidEndGather) {
// Gather
Primitives<T, RedOp, FanAsymmetric<NCCL_MAX_NVLS_ARITY, 0>, /*Direct=*/0, Proto, 0>
prims(tid, nThreadsGather, nvls->up, NULL, NULL, args->recvbuff,
args->redOpArg, 0*Proto::MaxGroupWidth, 0, 0);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + bid*chunkSize;
int nelem = min(chunkSize, size-offset);
prims.gather(offset, nvls->nHeads*size, nelem, size, -1, 0);
if (!args->regUsed) {
if (tid < tidEndGather) {
// Gather
using Proto = ProtoSimple<1, 1, COLL_UNROLL>;
Primitives<T, RedOp, FanAsymmetric<NCCL_MAX_NVLS_ARITY, 0>, /*Direct=*/0, Proto, 0>
prims(tid, nThreadsGather, nvls->up, NULL, NULL, args->recvbuff,
args->redOpArg, 0 * Proto::MaxGroupWidth, 1, 1);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + bid * chunkSize;
int nelem = min(chunkSize, size - offset);
prims.gather(offset, nvls->nHeads * size, nelem, size, -1, 0);
}
} else if (tid < tidEndBcast) {
// Bcast through NVLS
using Proto = ProtoSimple<1, 1, COLL_UNROLL, 0, 1>;
Primitives<T, RedOp, FanAsymmetric<0, 1>, /*Direct=*/0, Proto, 0>
prims(tid - tidEndGather, nThreadsBcast, NULL, &nvls->down, args->sendbuff, NULL,
args->redOpArg, 3 * Proto::MaxGroupWidth, 0, 0);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + bid * chunkSize;
int nelem = min(chunkSize, size - offset);
prims.send(offset, nelem);
}
}
} else if (tid < tidEndBcast) {
// Bcast through NVLS
Primitives<T, RedOp, FanAsymmetric<0, 1>, /*Direct=*/0, Proto, 0>
prims(tid-tidEndGather, nThreadsBcast, NULL, &nvls->down, args->sendbuff, NULL,
args->redOpArg, 3*Proto::MaxGroupWidth, 1, 1);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + bid*chunkSize;
int nelem = min(chunkSize, size-offset);
prims.send(offset, nelem);
} else {
/* direct allgather */
if (tid < tidEndGather) {
using Proto = ProtoSimple<1, 1, COLL_UNROLL>;
Primitives<T, RedOp, FanSymmetric<NCCL_MAX_NVLS_ARITY>, /*Direct=*/0, Proto, 0>
prims(tid, nThreadsGather, nvls->up, nvls->up, NULL, NULL,
args->redOpArg, 0 * Proto::MaxGroupWidth, 1, 1);
/* used as sync */
prims.scatter(0, 0, 0, 0, -1, 0);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
prims.gather(0, 0, 0, 0, -1, 0);
}
} else if (tid < tidEndBcast) {
using Proto = ProtoSimple<1, 1, COLL_UNROLL, 0, 1>;
Primitives<T, RedOp, FanSymmetric<1>, /*Direct=*/1, Proto, 0>
prims(tid - tidEndGather, nThreadsBcast, &nvls->down, &nvls->down, args->sendbuff, NULL,
args->redOpArg, 1 * Proto::MaxGroupWidth, 0, 0, args);
/* used as sync */
prims.recv(0, 0);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t inpOffset = gridOffset + bid * chunkSize;
ssize_t outOffset = inpOffset + rank * size;
int nelem = min(chunkSize, size - inpOffset);
prims.directSend(inpOffset, outOffset, nelem);
}
}
}
}
projects/rccl/src/collectives/device/all_reduce.h → projects/rccl/src/device/all_reduce.h
+61 -63
Melihat File
@@ -5,7 +5,7 @@
* See LICENSE.txt for license information
************************************************************************/
#include "devcomm.h"
#include "device.h"
#include "collectives.h"
#include "primitives.h"
@@ -699,7 +699,6 @@ struct RunWorkElement<ncclFuncAllReduce, T, RedOp, NCCL_ALGO_COLLNET_DIRECT, NCC
template<typename T, typename RedOp>
struct RunWorkElement<ncclFuncAllReduce, T, RedOp, NCCL_ALGO_NVLS, NCCL_PROTO_SIMPLE> {
__device__ __forceinline__ void run(ncclWorkElem *args) {
#if NCCL_NVLS_ENABLED
const int tid = threadIdx.x;
const int bid = args->bid;
const int nChannels = args->nChannels;
@@ -709,10 +708,11 @@ struct RunWorkElement<ncclFuncAllReduce, T, RedOp, NCCL_ALGO_NVLS, NCCL_PROTO_SI
const ssize_t loopSize = nChannels*nvls->nHeads*chunkSize;
const int nranks = ncclShmem.comm.nRanks;
const bool hasOut = nvls->out != -1;
const int reduceWarps = hasOut ? 3 : nranks <= 6 ? 7 : 5;
const int bcastWarps = hasOut ? 2 : 0;
const int scatterWarps = ((NCCL_MAX_NTHREADS/WARP_SIZE) - reduceWarps - bcastWarps + 1)/2;
const int gatherWarps = ((NCCL_MAX_NTHREADS/WARP_SIZE) - reduceWarps - bcastWarps)/2;
const int totalWarps = NCCL_MAX_NTHREADS/WARP_SIZE;
const int bcastWarps = hasOut ? (args->regUsed ? ((totalWarps - 2) >> 1) - 1 : 2) : 0;
const int reduceWarps = args->regUsed ? (totalWarps - bcastWarps - 2) : (hasOut ? 3 : nranks <= 6 ? 7 : 5);
const int scatterWarps = args->regUsed ? 1 : (totalWarps - reduceWarps - bcastWarps + 1) >> 1;
const int gatherWarps = args->regUsed ? 1 : (totalWarps - reduceWarps - bcastWarps) >> 1;
const int nThreadsScatter = scatterWarps*WARP_SIZE;
const int nThreadsGather = gatherWarps*WARP_SIZE;
@@ -728,67 +728,65 @@ struct RunWorkElement<ncclFuncAllReduce, T, RedOp, NCCL_ALGO_NVLS, NCCL_PROTO_SI
using Proto = ProtoSimple<1, 1, COLL_UNROLL>;
Primitives<T, RedOp, FanAsymmetric<0, NCCL_MAX_NVLS_ARITY>, /*Direct=*/0, Proto, 0>
prims(tid, nThreadsScatter, NULL, nvls->up, args->sendbuff, NULL,
args->redOpArg, 0*Proto::MaxGroupWidth, 1, 1);
args->redOpArg, 0 * Proto::MaxGroupWidth, 1, 1);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + bid*nvls->nHeads*chunkSize;
int nelem = min(nvls->nHeads*chunkSize, size-offset);
ssize_t offset = gridOffset + bid * nvls->nHeads * chunkSize;
int nelem = args->regUsed ? 0 : min(nvls->nHeads * chunkSize, size - offset);
prims.scatter(offset, nelem, chunkSize, chunkSize, -1, 0);
}
} else if (tid < tidEndGather) {
// Gather
using Proto = ProtoSimple<1, 1, COLL_UNROLL>;
Primitives<T, RedOp, FanAsymmetric<NCCL_MAX_NVLS_ARITY, 0>, /*Direct=*/0, Proto, 0>
prims(tid-tidEndScatter, nThreadsGather, nvls->up, NULL, NULL, args->recvbuff,
args->redOpArg, 1*Proto::MaxGroupWidth, 1, 1);
prims(tid - tidEndScatter, nThreadsGather, nvls->up, NULL, NULL, args->recvbuff,
args->redOpArg, 1 * Proto::MaxGroupWidth, 1, 1);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + bid*nvls->nHeads*chunkSize;
int nelem = min(nvls->nHeads*chunkSize, size-offset);
ssize_t offset = gridOffset + bid * nvls->nHeads * chunkSize;
int nelem = args->regUsed ? 0 :min(nvls->nHeads * chunkSize, size - offset);
prims.gather(offset, nelem, chunkSize, chunkSize, -1, 0);
}
} else if (tid < tidEndReduce && nvls->headRank != -1) {
if (!hasOut) {
// Reduce, broadcast through NVLS
using Proto = ProtoSimple<1, 1, COLL_UNROLL, 1, 1>;
Primitives<T, RedOp, FanSymmetric<1>, /*Direct=*/0, Proto, 0>
prims(tid-tidEndGather, nThreadsReduce, &nvls->down, &nvls->down, NULL, NULL,
args->redOpArg, 2*Proto::MaxGroupWidth, 0, 0);
Primitives<T, RedOp, FanSymmetric<1>, /*Direct=*/1, Proto, 0>
prims(tid - tidEndGather, nThreadsReduce, &nvls->down, &nvls->down, NULL, NULL,
args->redOpArg, 2 * Proto::MaxGroupWidth, 0, 0, args);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + (bid*nvls->nHeads+nvls->headRank)*chunkSize;
int nelem = min(chunkSize, size-offset);
prims.recvSend(nelem);
ssize_t offset = gridOffset + (bid * nvls->nHeads + nvls->headRank) * chunkSize;
int nelem = min(chunkSize, size - offset);
prims.directRecvDirectSend(offset, offset, nelem);
}
} else {
// Reduce, send to network
using Proto = ProtoSimple<1, 1, COLL_UNROLL, 1, 0>;
Primitives<T, RedOp, FanSymmetric<1>, /*Direct=*/0, Proto, 0>
prims(tid-tidEndGather, nThreadsReduce, &nvls->down, &nvls->out, NULL, NULL,
args->redOpArg, 2*Proto::MaxGroupWidth, 0, 1);
Primitives<T, RedOp, FanSymmetric<1>, /*Direct=*/1, Proto, 0>
prims(tid - tidEndGather, nThreadsReduce, &nvls->down, &nvls->out, NULL, NULL,
args->redOpArg, 2 * Proto::MaxGroupWidth, 0, 1, args);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + (bid*nvls->nHeads+nvls->headRank)*chunkSize;
int nelem = min(chunkSize, size-offset);
prims.recvSend(nelem);
ssize_t offset = gridOffset + (bid * nvls->nHeads + nvls->headRank) * chunkSize;
int nelem = min(chunkSize, size - offset);
prims.directRecvDirectSend(offset, offset, nelem);
}
}
} else if (tid < tidEndBcast && nvls->headRank != -1) {
// Recv from network, broadcast
using Proto = ProtoSimple<1, 1, COLL_UNROLL, 0, 1>;
Primitives<T, RedOp, FanSymmetric<1>, /*Direct=*/0, Proto, 0>
prims(tid-tidEndReduce, nThreadsBcast, &nvls->out, &nvls->down, NULL, NULL,
args->redOpArg, 3*Proto::MaxGroupWidth, 0, 0);
Primitives<T, RedOp, FanSymmetric<1>, /*Direct=*/1, Proto, 0>
prims(tid - tidEndReduce, nThreadsBcast, &nvls->out, &nvls->down, NULL, NULL,
args->redOpArg, 3 * Proto::MaxGroupWidth, 0, 0, args);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + (bid*nvls->nHeads+nvls->headRank)*chunkSize;
int nelem = min(chunkSize, size-offset);
prims.recvSend(nelem);
ssize_t offset = gridOffset + (bid * nvls->nHeads + nvls->headRank) * chunkSize;
int nelem = min(chunkSize, size - offset);
prims.directRecvDirectSend(offset, offset, nelem);
}
}
#endif // NCCL_NVLS_ENABLED
}
};
template<typename T, typename RedOp>
struct RunWorkElement<ncclFuncAllReduce, T, RedOp, NCCL_ALGO_NVLS_TREE, NCCL_PROTO_SIMPLE> {
__device__ __forceinline__ void run(ncclWorkElem *args) {
#if NCCL_NVLS_ENABLED
const int tid = threadIdx.x;
const int bid = args->bid;
const int nChannels = args->nChannels;
@@ -800,10 +798,11 @@ struct RunWorkElement<ncclFuncAllReduce, T, RedOp, NCCL_ALGO_NVLS_TREE, NCCL_PRO
const ssize_t loopSize = nChannels*nvls->nHeads*chunkSize;
const int nranks = ncclShmem.comm.nRanks;
const bool hasUp = treeUp != -1;
const int reduceWarps = hasUp ? 5 : nranks <= 6 ? 7 : 5;
const int bcastWarps = hasUp ? 4 : 0;
const int scatterWarps = ((NCCL_MAX_NTHREADS/WARP_SIZE) - reduceWarps - bcastWarps + 1)/2;
const int gatherWarps = ((NCCL_MAX_NTHREADS/WARP_SIZE) - reduceWarps - bcastWarps)/2;
const int totalWarps = NCCL_MAX_NTHREADS/WARP_SIZE;
const int bcastWarps = hasUp ? (args->regUsed ? ((totalWarps - 2) >> 1) - 1 : 4) : 0;
const int reduceWarps = args->regUsed ? (totalWarps - bcastWarps - 2) : (hasUp ? 5 : nranks <= 6 ? 7 : 5);
const int scatterWarps = args->regUsed ? 1 : (totalWarps - reduceWarps - bcastWarps + 1) >> 1;
const int gatherWarps = args->regUsed ? 1 : (totalWarps - reduceWarps - bcastWarps) >> 1;
const int nThreadsScatter = scatterWarps*WARP_SIZE;
const int nThreadsGather = gatherWarps*WARP_SIZE;
@@ -819,60 +818,59 @@ struct RunWorkElement<ncclFuncAllReduce, T, RedOp, NCCL_ALGO_NVLS_TREE, NCCL_PRO
using Proto = ProtoSimple<1, 1, COLL_UNROLL>;
Primitives<T, RedOp, FanAsymmetric<0, NCCL_MAX_NVLS_ARITY>, /*Direct=*/0, Proto, 0>
prims(tid, nThreadsScatter, NULL, nvls->up, args->sendbuff, NULL,
args->redOpArg, 0*Proto::MaxGroupWidth, 1, 1);
args->redOpArg, 0 * Proto::MaxGroupWidth, 1, 1);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + bid*nvls->nHeads*chunkSize;
int nelem = min(nvls->nHeads*chunkSize, size-offset);
ssize_t offset = gridOffset + bid * nvls->nHeads * chunkSize;
int nelem = args->regUsed ? 0 : min(nvls->nHeads * chunkSize, size - offset);
prims.scatter(offset, nelem, chunkSize, chunkSize, -1, 0);
}
} else if (tid < tidEndGather) {
// Gather
using Proto = ProtoSimple<1, 1, COLL_UNROLL>;
Primitives<T, RedOp, FanAsymmetric<NCCL_MAX_NVLS_ARITY, 0>, /*Direct=*/0, Proto, 0>
prims(tid-tidEndScatter, nThreadsGather, nvls->up, NULL, NULL, args->recvbuff,
args->redOpArg, 1*Proto::MaxGroupWidth, 1, 1);
prims(tid - tidEndScatter, nThreadsGather, nvls->up, NULL, NULL, args->recvbuff,
args->redOpArg, 1 * Proto::MaxGroupWidth, 1, 1);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + bid*nvls->nHeads*chunkSize;
int nelem = min(nvls->nHeads*chunkSize, size-offset);
ssize_t offset = gridOffset + bid * nvls->nHeads * chunkSize;
int nelem = args->regUsed ? 0 : min(nvls->nHeads * chunkSize, size - offset);
prims.gather(offset, nelem, chunkSize, chunkSize, -1, 0);
}
} else if (tid < tidEndReduce && nvls->headRank != -1) {
if (!hasUp) {
// Reduce and Broadcast
using Proto = ProtoSimple<1, 1, COLL_UNROLL, 1, 1>;
Primitives<T, RedOp, FanSymmetric<3>, /*Direct=*/0, Proto, 0>
prims(tid-tidEndGather, nThreadsReduce, treeDown, treeDown, NULL, NULL,
args->redOpArg, 2*Proto::MaxGroupWidth, 0, 0);
Primitives<T, RedOp, FanSymmetric<3>, /*Direct=*/1, Proto, 0>
prims(tid - tidEndGather, nThreadsReduce, treeDown, treeDown, NULL, NULL,
args->redOpArg, 2 * Proto::MaxGroupWidth, 0, 0, args);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + (bid*nvls->nHeads+nvls->headRank)*chunkSize;
int nelem = min(chunkSize, size-offset);
prims.recvSend(nelem);
ssize_t offset = gridOffset + (bid * nvls->nHeads + nvls->headRank) * chunkSize;
int nelem = min(chunkSize, size - offset);
prims.directRecvDirectSend(offset, offset, nelem);
}
} else {
// Reduce, send to network
using Proto = ProtoSimple<1, 1, COLL_UNROLL, 1, 0>;
Primitives<T, RedOp, FanAsymmetric<3, 1>, /*Direct=*/0, Proto, 0>
prims(tid-tidEndGather, nThreadsReduce, treeDown, &treeUp, NULL, NULL,
args->redOpArg, 2*Proto::MaxGroupWidth, 0, 0);
Primitives<T, RedOp, FanAsymmetric<3, 1>, /*Direct=*/1, Proto, 0>
prims(tid - tidEndGather, nThreadsReduce, treeDown, &treeUp, NULL, NULL,
args->redOpArg, 2 * Proto::MaxGroupWidth, 0, 0, args);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + (bid*nvls->nHeads+nvls->headRank)*chunkSize;
int nelem = min(chunkSize, size-offset);
prims.recvSend(nelem);
ssize_t offset = gridOffset + (bid * nvls->nHeads + nvls->headRank) * chunkSize;
int nelem = min(chunkSize, size - offset);
prims.directRecvDirectSend(offset, offset, nelem);
}
}
} else if (tid < tidEndBcast && nvls->headRank != -1) {
// Recv from network, broadcast
using Proto = ProtoSimple<1, 1, COLL_UNROLL, 0, 1>;
Primitives<T, RedOp, FanAsymmetric<1, 3>, /*Direct=*/0, Proto, 0>
prims(tid-tidEndReduce, nThreadsBcast, &treeUp, treeDown, NULL, NULL,
args->redOpArg, 3*Proto::MaxGroupWidth, 0, 0);
Primitives<T, RedOp, FanAsymmetric<1, 3>, /*Direct=*/1, Proto, 0>
prims(tid - tidEndReduce, nThreadsBcast, &treeUp, treeDown, NULL, NULL,
args->redOpArg, 3 * Proto::MaxGroupWidth, 0, 0, args);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + (bid*nvls->nHeads+nvls->headRank)*chunkSize;
int nelem = min(chunkSize, size-offset);
prims.recvSend(nelem);
ssize_t offset = gridOffset + (bid * nvls->nHeads + nvls->headRank) * chunkSize;
int nelem = min(chunkSize, size - offset);
prims.directRecvDirectSend(offset, offset, nelem);
}
}
#endif // NCCL_NVLS_ENABLED
}
};
projects/rccl/src/collectives/device/alltoall_pivot.h → projects/rccl/src/device/alltoall_pivot.h
+1 -1
Melihat File
@@ -4,7 +4,7 @@
* See LICENSE.txt for license information
************************************************************************/
#include "devcomm.h"
#include "device.h"
#include "collectives.h"
#include "primitives.h"
projects/rccl/src/collectives/device/broadcast.h → projects/rccl/src/device/broadcast.h
+1 -1
Melihat File
@@ -4,7 +4,7 @@
* See LICENSE.txt for license information
************************************************************************/
#include "devcomm.h"
#include "device.h"
#include "collectives.h"
#include "primitives.h"
projects/rccl/src/device/common.cu
+29
Melihat File
@@ -0,0 +1,29 @@
/*************************************************************************
* Copyright (c) 2015-2021, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#include "device.h"
#include "collectives.h"
#include "common.h"
__shared__ ncclShmemData ncclShmem;
#if __CUDA_ARCH__ < 700
__shared__ ulong2 ncclShmemPerWarp[ncclShmemScratchWarpSize()*(NCCL_MAX_NTHREADS/WARP_SIZE)/sizeof(ulong2)];
#endif
struct RunWorkNop {
__device__ void run(ncclWork *w) {}
};
__global__ void ncclDevKernel_Generic(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead) {
ncclKernelMain<-1, RunWorkNop, false>(comm, channelMask, workHead);
}
#ifdef ENABLE_COLLTRACE
__global__ void ncclDevKernelDebug_Generic(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead) {
ncclKernelMain<-1, RunWorkNop, true>(comm, channelMask, workHead);
}
#endif
__device__ void ncclDevFunc_Nop() {}
projects/rccl/src/collectives/device/common.h → projects/rccl/src/device/common.h
+50 -44
Melihat File
@@ -9,8 +9,10 @@
#define NCCL_DEVICE_COMMON_H_
#include "collectives.h"
#include "devcomm.h"
#include "device.h"
#include "op128.h"
#include "device_table.h"
#include "network/unpack/unpack_defs.h"
#if defined(__gfx908__) || defined(__gfx940__) || defined(__gfx941__) || defined(__gfx942__)
#define COLL_UNROLL 2
@@ -33,16 +35,6 @@
{ __atomic_store_n((DST), (SRC), __ATOMIC_SEQ_CST); }
#endif
template <ncclFunc_t FUNCTION, int ALGO, int PROTO, class REDOP, typename T, int UNROLL>
class ncclFunction {
public:
#if defined(USE_INDIRECT_FUNCTION_CALL) && !defined(__gfx940__) && !defined(__gfx941__) && !defined(__gfx942__)
__device__ __attribute__((noinline)) void run(struct ncclWorkElem* args) {}
#else
__device__ void run(struct ncclWorkElem* args) {}
#endif
};
#if defined(__gfx1100__) || defined(__gfx1101__) || defined(__gfx1102__)
#define __trace_hwreg()
#else
@@ -119,6 +111,9 @@ struct ncclShmemGroup {
void* dsts[NCCL_MAX_NVLS_ARITY+1];
uint64_t barrier;
uint64_t barrier_next[NCCL_MAX_GROUPS];
union {
unpackGroupShmem unpack;
} devicePlugin;
};
#define LDS_NUM_EVENTS 64
@@ -131,6 +126,9 @@ struct ncclShmemData {
alignas(16) struct ncclDevComm comm;
alignas(16) struct ncclDevChannel channel;
alignas(16) struct ncclWork work;
alignas(16) union {
unpackShmem unpack;
} devicePlugin;
#ifdef ENABLE_COLLTRACE
struct ncclCollTrace* collTrace;
union ncclCollTraceTail* collTraceTail;
@@ -226,10 +224,8 @@ static __forceinline__ __device__ void ncclRedopPtrDeref(struct ncclWorkElem* we
}
}
template<bool COLLTRACE>
__forceinline__ __device__ void ncclKernel(
struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead
) {
template<int SpecializedFnId, typename SpecializedRunWork, bool COLLTRACE>
__device__ void ncclKernelMain(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead) {
const int tid = threadIdx.x;
int x = tid;
switch (tid/WARP_SIZE) {
@@ -294,7 +290,7 @@ __forceinline__ __device__ void ncclKernel(
bytes = 0;
break;
}
copyToShmem16(tid%WARP_SIZE, dst, src, bytes);
if (bytes) copyToShmem16(tid%WARP_SIZE, dst, src, bytes);
}
#ifdef ENABLE_COLLTRACE
if (tid == 0) {
@@ -327,12 +323,16 @@ __forceinline__ __device__ void ncclKernel(
__synclds();
if (tid == 0) __insert_timestamp(__LINE__);
if (0 <= SpecializedFnId && ncclShmem.work.header.funcIndex == (unsigned)SpecializedFnId) {
SpecializedRunWork().run(&ncclShmem.work);
} else {
#ifdef USE_INDIRECT_FUNCTION_CALL
ncclFuncs[ncclShmem.work.header.funcIndex]();
ncclDevFuncTable[ncclShmem.work.header.funcIndex]();
#else
NCCL_CALL_FUNCTIONS(ncclShmem.work.header.funcIndex);
NCCL_CALL_FUNCTIONS(ncclShmem.work.header.funcIndex);
#endif
}
int workIxNext = ncclShmem.work.header.workNext;
__synclds();
@@ -360,37 +360,43 @@ __forceinline__ __device__ void ncclKernel(
#endif
}
__global__ void ncclDevKernel_Generic(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead);
#ifdef ENABLE_COLLTRACE
#define IMPL_MAIN_KERN() \
__launch_bounds__(NCCL_MAX_NTHREADS, 1) \
__global__ void rccl_main_kernel(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead) { \
ncclKernel<false>(comm, channelMask, workHead); \
} \
\
__launch_bounds__(NCCL_MAX_NTHREADS, 1) \
__global__ void rccl_main_kernel_debug(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead) { \
ncclKernel<true>(comm, channelMask, workHead); \
}
#else
#define IMPL_MAIN_KERN() \
__launch_bounds__(NCCL_MAX_NTHREADS, 1) \
__global__ void rccl_main_kernel(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead) { \
ncclKernel<false>(comm, channelMask, workHead); \
}
__global__ void ncclDevKernelDebug_Generic(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead);
#endif
#ifdef USE_INDIRECT_FUNCTION_CALL
#define IMPL_COLL_FUNC(func, algo, proto, devredop, type) \
__device__ void NCCL_FUNC_NAME(func, algo, proto, devredop, type)() { \
RunWork<ncclFunc##func, type, Func##devredop<type>, NCCL_ALGO_##algo, NCCL_PROTO_##proto>().run(&ncclShmem.work); \
}
__device__ void ncclDevFunc_Nop();
#else
#define IMPL_COLL_FUNC(func, algo, proto, devredop, type) \
__device__ __attribute__((noinline)) void NCCL_FUNC_NAME(func, algo, proto, devredop, type)() { \
RunWork<ncclFunc##func, type, Func##devredop<type>, NCCL_ALGO_##algo, NCCL_PROTO_##proto>().run(&ncclShmem.work); \
}
__device__ __attribute__((noinline)) void ncclDevFunc_Nop();
#endif
#define NCCL_NVLS_ENABLED (__CUDA_ARCH__ >= 900 && NCCL_NVLS_SUPPORTS(NCCL_TYPE, NCCL_OP))
#ifdef ENABLE_COLLTRACE
#define DEFINE_ncclDevKernel(suffix, coll, redop, ty, algo, proto, specializedFnId) \
__global__ void ncclDevKernel_##suffix(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead) { \
ncclKernelMain<specializedFnId, RunWork<coll, ty, redop<ty>, algo, proto>, false>(comm, channelMask, workHead); \
} \
\
__global__ void ncclDevKernelDebug_##suffix(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead) { \
ncclKernelMain<specializedFnId, RunWork<coll, ty, redop<ty>, algo, proto>, true>(comm, channelMask, workHead); \
}
#else
#define DEFINE_ncclDevKernel(suffix, coll, redop, ty, algo, proto, specializedFnId) \
__global__ void ncclDevKernel_##suffix(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead) { \
ncclKernelMain<specializedFnId, RunWork<coll, ty, redop<ty>, algo, proto>, false>(comm, channelMask, workHead); \
}
#endif
#ifdef USE_INDIRECT_FUNCTION_CALL
#define DEFINE_ncclDevFunc(suffix, coll, redop, ty, algo, proto) \
__device__ void ncclDevFunc_##suffix() { \
RunWork<coll, ty, redop<ty>, algo, proto>().run(&ncclShmem.work); \
}
#else
#define DEFINE_ncclDevFunc(suffix, coll, redop, ty, algo, proto) \
__device__ __attribute__((noinline)) void ncclDevFunc_##suffix() { \
RunWork<coll, ty, redop<ty>, algo, proto>().run(&ncclShmem.work); \
}
#endif
#endif
projects/rccl/src/collectives/device/common_kernel.h → projects/rccl/src/device/common_kernel.h
+4 -4
Melihat File
@@ -8,7 +8,7 @@
#ifndef NCCL_COMMON_KERNEL_H_
#define NCCL_COMMON_KERNEL_H_
#include "devcomm.h"
#include "device.h"
#include "op128.h"
#include "reduce_kernel.h"
#include <cstdio>
@@ -83,13 +83,13 @@ __device__ __forceinline__ void reduceCopyPacks(
for (int u=0; u < Unroll; u++) {
if (0 < MultimemSrcs) {
// applyLoadMultimem uses relaxed semantics for same reason we use volatile below.
acc[u] = applyLoadMultimem<RedFn, BytePerPack>(preFn, minSrcs[0]);
acc[u] = applyLoadMultimem<RedFn, BytePerPack>(redFn, minSrcs[0]);
} else {
// Use volatile loads in case credits are polled for with volatile (instead of acquire).
acc[u] = ld_volatile_global<BytePerPack>(minSrcs[0]);
if (0 < PreOpSrcs) acc[u] = applyPreOp(preFn, acc[u]);
}
minSrcs[0] += WARP_SIZE*BytePerPack;
if (0 < PreOpSrcs) acc[u] = applyPreOp(preFn, acc[u]);
}
}
@@ -101,7 +101,7 @@ __device__ __forceinline__ void reduceCopyPacks(
for (int u=0; u < Unroll; u++) {
if (s < MultimemSrcs) {
// applyLoadMultimem uses relaxed semantics for same reason we use volatile below.
acc[u] = applyLoadMultimem<RedFn, BytePerPack>(preFn, minSrcs[s]);
acc[u] = applyLoadMultimem<RedFn, BytePerPack>(redFn, minSrcs[s]);
} else {
// Use volatile loads in case credits are polled for with volatile (instead of acquire).
tmp[u] = ld_volatile_global<BytePerPack>(minSrcs[s]);
projects/rccl/src/collectives/device/msccl_kernel_impl.h → projects/rccl/src/device/msccl_kernel_impl.h
+2 -3
Melihat File
@@ -8,7 +8,7 @@
#ifndef MSSCLKERNELIMPL_H
#define MSSCLKERNELIMPL_H
#include "devcomm.h"
#include "device.h"
#include "primitives.h"
#include "collectives.h"
@@ -427,8 +427,7 @@ __global__ void MSCCL_KERNEL_ENTRY_NAME(devredop, type, Simple, fullOps)(struct
#define MSCCL_IMPL_KERNEL_ENTRY_FUNC() \
MSCCL_IMPL_KERNEL_ENTRY_FUNC_DEVREDOP(Sum, false) \
MSCCL_IMPL_KERNEL_ENTRY_FUNC_DEVREDOP(Prod, false) \
MSCCL_IMPL_KERNEL_ENTRY_FUNC_DEVREDOP(Max, false) \
MSCCL_IMPL_KERNEL_ENTRY_FUNC_DEVREDOP(Min, false) \
MSCCL_IMPL_KERNEL_ENTRY_FUNC_DEVREDOP(MinMax, false) \
MSCCL_IMPL_KERNEL_ENTRY_FUNC_DEVREDOP(PreMulSum, false) \
MSCCL_IMPL_KERNEL_ENTRY_FUNC_DEVREDOP_NOFLOAT(SumPostDiv, false)
projects/rccl/src/device/network/unpack/unpack.h
+282
Melihat File
@@ -0,0 +1,282 @@
/*************************************************************************
* Copyright (c) 2023, Google LLC. All rights reserved.
* Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#ifndef NET_DEVICE_UNPACK_H
#define NET_DEVICE_UNPACK_H
#include "unpack_defs.h"
#include "op128.h"
#include "align.h"
#include "device.h"
#include "common.h"
// #define ALIGNED_LOAD
inline __device__ void load64gpu(const uint64_t* ptr, uint64_t &v) {
#if __CUDA_ARCH__ >= 700
asm volatile("ld.relaxed.gpu.u64 {%0}, [%1];"
: "=l"(v) : "l"(ptr));
#else
#ifdef NEED_CHECKING
asm volatile("ld.volatile.global.u64 {%0}, [%1];"
: "=l"(v) : "l"(ptr));
#endif
#endif
}
#define PAGE_META_SIZE 16
#define META_LOAD_SIZE 16
#define DATA_LOAD_SIZE 16
// Map internal association of handle with group and peer index (called once at init time)
inline __device__ void ncclNetDeviceUnpackSetup(void* ohandle, const int group, const int index) {
struct unpackNetDeviceHandle* handle = (struct unpackNetDeviceHandle*) ohandle;
ncclShmem.groups[group].devicePlugin.unpack.g_meta[index] = handle->meta;
ncclShmem.devicePlugin.unpack.bounce_buf = handle->bounce_buf;
ncclShmem.groups[group].devicePlugin.unpack.head = handle->head;
}
inline __device__ void ncclNetDeviceIncrementHead(const int group) {
ncclShmem.groups[group].devicePlugin.unpack.head++;
}
inline __device__ void ncclNetDeviceSaveHead(void* ohandle, const int group) {
struct unpackNetDeviceHandle* handle = (struct unpackNetDeviceHandle*) ohandle;
handle->head = ncclShmem.groups[group].devicePlugin.unpack.head;
}
template <uint8_t sz>
inline __device__ void bulkLoad(const int t, const uint32_t len, char* cpy_src, char* cpy_dst, BytePack<sz> *reg, const int w, loadMeta* g_meta, loadMeta* s_meta, uint32_t src_off, uint64_t dst_off){
bulkLoad<1>(t, len, cpy_src, cpy_dst, reg, w, g_meta, s_meta, src_off, dst_off);
}
template <>
inline __device__ void bulkLoad<1>(const int t, const uint32_t len, char* cpy_src, char* cpy_dst, BytePack<1> reg[16], const int w, loadMeta* g_meta, loadMeta* s_meta, uint32_t src_off, uint64_t dst_off){
uint64_t data_s;
for (data_s = t * DATA_LOAD_SIZE; data_s + DATA_LOAD_SIZE - 1 < len; data_s += WARP_SIZE * DATA_LOAD_SIZE) {
#ifdef ALIGNED_LOAD
load128 ((uint64_t*)(cpy_src + data_s), reg.u64[0], reg.u64[1]);
#else
#pragma unroll
for (int i=0; i<16; i++) {
reg[i] = ld_volatile_global<1>((uintptr_t)((uint8_t*)(cpy_src + data_s) + i));
}
#endif
#pragma unroll
for (int i=0; i<16; i++) {
st_global<1>((uintptr_t)((uint8_t*)(cpy_dst + data_s) + i), reg[i]);
}
}
}
template <>
inline __device__ void bulkLoad<2>(const int t, const uint32_t len, char* cpy_src, char* cpy_dst, BytePack<2> reg[8], const int w, loadMeta* g_meta, loadMeta* s_meta, uint32_t src_off, uint64_t dst_off){
uint64_t data_s;
for (data_s = t * DATA_LOAD_SIZE; data_s + DATA_LOAD_SIZE - 1 < len; data_s += WARP_SIZE * DATA_LOAD_SIZE) {
#ifdef ALIGNED_LOAD
load128 ((uint64_t*)(cpy_src + data_s), reg.u64[0], reg.u64[1]);
#else
#pragma unroll
for (int i=0; i<8; i++) {
reg[i] = ld_volatile_global<2>((uintptr_t)((uint16_t*)(cpy_src + data_s) + i));
}
#endif
#pragma unroll
for (int i=0; i<8; i++) {
st_global<2>((uintptr_t)((uint16_t*)(cpy_dst + data_s) + i), reg[i]);
}
}
}
template <>
inline __device__ void bulkLoad<4>(const int t, const uint32_t len, char* cpy_src, char* cpy_dst, BytePack<4> reg[4], const int w, loadMeta* g_meta, loadMeta* s_meta, uint32_t src_off, uint64_t dst_off){
uint64_t data_s;
for (data_s = t * DATA_LOAD_SIZE; data_s + DATA_LOAD_SIZE - 1 < len; data_s += WARP_SIZE * DATA_LOAD_SIZE) {
#ifdef ALIGNED_LOAD
load128 ((uint64_t*)(cpy_src + data_s), reg.u64[0], reg.u64[1]);
#else
#pragma unroll
for (int i=0; i<4; i++) {
reg[i] = ld_volatile_global<4>((uintptr_t)((uint32_t *)(cpy_src + data_s) + i));
}
#endif
#pragma unroll
for (int i=0; i<4; i++) {
st_global<4>((uintptr_t)((uint32_t*)(cpy_dst + data_s) + i), reg[i]);
}
}
}
template <>
inline __device__ void bulkLoad<8>(const int t, const uint32_t len, char* cpy_src, char* cpy_dst, BytePack<8> reg[2], const int w, loadMeta* g_meta, loadMeta* s_meta, uint32_t src_off, uint64_t dst_off){
uint64_t data_s;
for (data_s = t * DATA_LOAD_SIZE; data_s + DATA_LOAD_SIZE - 1 < len; data_s += WARP_SIZE * DATA_LOAD_SIZE) {
#ifdef ALIGNED_LOAD
load128 ((uint64_t*)(cpy_src + data_s), reg.u64[0], reg.u64[1]);
#else
#pragma unroll
for (int i=0; i<2; i++) {
reg[i] = ld_volatile_global<8>((uintptr_t)((uint64_t*)(cpy_src + data_s) + i));
}
#endif
#pragma unroll
for (int i=0; i<2; i++) {
st_global<8>((uintptr_t)((uint64_t*)(cpy_dst + data_s) + i), reg[i]);
}
}
}
template <>
inline __device__ void bulkLoad<16>(const int t, const uint32_t len, char* cpy_src, char* cpy_dst, BytePack<16> reg[1], const int w, loadMeta* g_meta, loadMeta* s_meta, uint32_t src_off, uint64_t dst_off){
uint64_t data_s;
for (data_s = t * DATA_LOAD_SIZE; data_s + DATA_LOAD_SIZE - 1 < len; data_s += WARP_SIZE * DATA_LOAD_SIZE) {
reg[0] = ld_volatile_global<16>((uintptr_t)(cpy_src + data_s));
st_global<16>((uintptr_t)(cpy_dst + data_s), reg[0]);
}
}
#ifndef PAGE_SIZE
#define PAGE_SIZE 4096
#endif
inline __device__ int ppw(const int nbytes, int nw) {
int v = DIVUP(nbytes, SLICE_PAGE_SIZE);
v = DIVUP(v, nw);
while (v > WARP_SHM_PAGE_CNT) {
v = DIVUP(v, 2);
}
return v;
}
// This function is called by all threads
// Pack data from the internal iovec to the supplied flat buffer using all the
// threads
template <int Recv>
inline __device__ void ncclNetDeviceUnpack(
const int tid, const int tidInBlock, const int nworkers, const int group, int mask, int Src, int workSize);
template <>
inline __device__ void ncclNetDeviceUnpack</*Recv=*/0>(
const int tid, const int tidInBlock, const int nworkers, const int group, int mask, int Src, int workSize) {
// send unpack empty
}
inline __device__ void ncclNetDeviceUnpackInner(
const int tid, const int tidInBlock, const int nworkers, const int group, const int index,
void *src, const int nbytes, const uint64_t step);
template <>
inline __device__ void ncclNetDeviceUnpack</*Recv=*/1>(
const int tid, const int tidInBlock, const int nworkers, const int group, int mask, int Src, int workSize) {
while (mask != 0) {
int ix = __ffs(mask)-1; // Get the first set bit of the mask (this should correlate to a peer index)
mask &= mask-1; // Drop the first set bit of the mask
// Pack data from the internal iovec to the supplied flat srcs buffer using all the threads
// + Src is necessary in the case of accessing the user buffer directly
ncclNetDeviceUnpackInner(tid, tidInBlock, nworkers, group /* in case they need to use split warps shared memory partitioning*/,
ix, ncclShmem.groups[group].srcs[ix + Src], workSize, ncclShmem.groups[group].devicePlugin.unpack.head);
}
}
inline __device__ void ncclNetDeviceUnpackInner(
const int tid, const int tidInBlock, const int nworkers, const int group, const int index,
void *src, const int nbytes, const uint64_t step) {
// from src/collectives/device/common_kernel.h
const int w = tid / WARP_SIZE; // Warp number
const int nw = nworkers / WARP_SIZE; // Number of warps
const int t = tid % WARP_SIZE; // Thread (inside the warp)
BytePack<16> reg;
loadMeta meta;
uint64_t head;
struct netUnpackMeta* g_meta_struct;
void* bounce_buf;
loadMeta* g_meta;
loadMeta* s_meta;
uint64_t meta_cnt;
// hack head use per-warp
head = step;
g_meta_struct = ncclShmem.groups[group].devicePlugin.unpack.g_meta[index];
bounce_buf = ncclShmem.devicePlugin.unpack.bounce_buf;
__syncwarp();
head %= NCCL_NET_DEVICE_UNPACK_MAX_QUEUE_DEPTH;
g_meta = g_meta_struct->mem[head];
// Currently, even/odd groups perform send/recv separately. We don't really need space for send side.
// Total size is N page per warp * 16 B per page * 20 WARPS max = 320 * N bytes, N == WARP_SHM_PAGE_CNT
static_assert(ncclShmemScratchWarpSize() >= WARP_SHM_SIZE, "Each warp must have enough scratch space");
s_meta = (loadMeta*) ncclScratchForWarp(tidInBlock / WARP_SIZE); // (loadMeta*) (ncclShmem.devicePlugin.unpack.meta + shm_off);
load64gpu(g_meta_struct->cnt + head, meta_cnt);
int PPW = ppw(nbytes, nw);
for (uint64_t meta_s = w * PPW; meta_s < meta_cnt; meta_s += nw * PPW) {
uint64_t iter_meta_cnt = meta_cnt - meta_s;
iter_meta_cnt = iter_meta_cnt < PPW ? iter_meta_cnt : PPW;
// TODO: this load size needs to work if not aligned, but since the two are both 16...
if (t < PPW * PAGE_META_SIZE / META_LOAD_SIZE && t < iter_meta_cnt) { // avoid last iter load garbage data
load128((const uint64_t*) (g_meta + (meta_s + t)), reg.u64[0], reg.u64[1]);
storeShmem128(shmemCvtPtr((uint64_t *)(s_meta + (w * PPW + t))), reg.u64[0], reg.u64[1]);
}
__syncwarp();
for (int x = 0; x < iter_meta_cnt; x++) {
int meta_idx = x + w * PPW;
// load page offs
loadShmem128(shmemCvtPtr((uint64_t*) (s_meta + meta_idx)), meta.r64[0], meta.r64[1]);
if (meta.len >= DATA_LOAD_SIZE) {
// fast path, but need to adapt to alignment issue
// bulk copy data
uint8_t align_off = (meta.src_off | meta.dst_off) % DATA_LOAD_SIZE;
align_off = align_off & -align_off; // keep the lowest bit
if (align_off == 0) { // 0x16
bulkLoad<16>(t, meta.len, (char*) bounce_buf + meta.src_off, (char*) src + meta.dst_off, &reg, w, g_meta, s_meta, meta.src_off, meta.dst_off);
} else if (align_off & 0x8) {
bulkLoad<8>(t, meta.len, (char*) bounce_buf + meta.src_off, (char*) src + meta.dst_off, (BytePack<8>*) &reg, w, g_meta, s_meta, meta.src_off, meta.dst_off);
} else if (align_off & 0x4) {
bulkLoad<4>(t, meta.len, (char*) bounce_buf + meta.src_off, (char*) src + meta.dst_off, (BytePack<4>*) &reg, w, g_meta, s_meta, meta.src_off, meta.dst_off);
} else if (align_off & 0x2) {
bulkLoad<2>(t, meta.len, (char*) bounce_buf + meta.src_off, (char*) src + meta.dst_off, (BytePack<2>*) &reg, w, g_meta, s_meta, meta.src_off, meta.dst_off);
} else { // if (align_off & 0x1)
bulkLoad<1>(t, meta.len, (char*) bounce_buf + meta.src_off, (char*) src + meta.dst_off, (BytePack<1>*) &reg, w, g_meta, s_meta, meta.src_off, meta.dst_off);
}
}
// must be less than 16 bytes
if (t < meta.len % DATA_LOAD_SIZE) {
volatile char* cpy_src = (char*) bounce_buf + meta.src_off + (meta.len / DATA_LOAD_SIZE) * DATA_LOAD_SIZE + t;
volatile char* cpy_dst = (char*) src + meta.dst_off + (meta.len / DATA_LOAD_SIZE) * DATA_LOAD_SIZE + t;
*cpy_dst = *cpy_src;
}
}
__syncwarp();
}
}
#endif // NET_DEVICE_UNPACK_DEFS_H_
projects/rccl/src/device/network/unpack/unpack_defs.h
+61
Melihat File
@@ -0,0 +1,61 @@
/*************************************************************************
* Copyright (c) 2023, Google LLC. All rights reserved.
* Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#ifndef NET_DEVICE_UNPACK_DEFS_H
#define NET_DEVICE_UNPACK_DEFS_H
#include <stdint.h>
#include "device.h"
#define NCCL_NET_DEVICE_UNPACK_MAX_QUEUE_DEPTH 16
union alignas(16) loadMeta {
uint64_t r64[2];
struct {
uint32_t src_off;
uint32_t len;
uint64_t dst_off;
};
};
static_assert(sizeof(union loadMeta) == 16, "Must be 16-byte aligned");
/****** global memory ******/
#define NET_UNPACK_MAX_QUEUE_DEPTH 16 // MAX_REQUESTS
#define NET_UNPACK_MAX_SLICE_SIZE 4194304 // 4MB per Irecv call
#define SLICE_PAGE_SIZE 4096
#define NET_UNPACK_MAX_SLICE_PAGES \
(NET_UNPACK_MAX_SLICE_SIZE / SLICE_PAGE_SIZE * 2) // * 2 for slack, wasteful..
struct netUnpackMeta {
loadMeta mem[NCCL_NET_DEVICE_UNPACK_MAX_QUEUE_DEPTH][NET_UNPACK_MAX_SLICE_PAGES];
uint64_t cnt[NCCL_NET_DEVICE_UNPACK_MAX_QUEUE_DEPTH];
};
struct unpackNetDeviceHandle {
struct netUnpackMeta *meta; // mapped
void* bounce_buf;
uint64_t head;
};
/****** shared memory ******/
#define NET_UNPACK_MAX_GROUPS 16 // Forked from NCCL_MAX_GROUPS in devcomm.h
#define NET_UNPACK_MAX_NPEERS 2 // The most you should have is 2 network peers per-group (indexed by index)
#define WARP_SHM_PAGE_CNT 4
#define WARP_SHM_SIZE (WARP_SHM_PAGE_CNT * sizeof(union loadMeta))
struct unpackShmem {
void* bounce_buf;
};
struct unpackGroupShmem {
int unpackNetDeviceIndexMask; // We store a single unpackNetDeviceIndex because only one peer can be network recv
uint64_t head;
struct netUnpackMeta* g_meta[NET_UNPACK_MAX_NPEERS]; // head of handle to index into meta for meta copy
};
#endif // NET_DEVICE_UNPACK_DEFS_H_
projects/rccl/src/device/onerank.cu
+79
Melihat File
@@ -0,0 +1,79 @@
/*************************************************************************
* Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#include "alloc.h"
#include "collectives.h"
#include "common_kernel.h"
#include "common.h"
#include <cuda_runtime.h>
namespace {
template<typename RedOp>
__global__ __launch_bounds__(512, 1)
void oneRankReduce(void* dst, void* src, size_t nElts, uint64_t redOpArg, bool redOpArgIsPtr) {
using T = typename RedOp::EltType;
int tid = threadIdx.x;
int tn = blockDim.x;
int bid = blockIdx.x;
int bn = gridDim.x;
// each block/channel gets a roughly equal segment of 16 byte packs
constexpr int EltPerPack = 16/sizeof(T);
intptr_t i0 = (bid+0)*alignUp(nElts/bn, EltPerPack);
intptr_t i1 = (bid+1)*alignUp(nElts/bn, EltPerPack);
i0 = min(i0, nElts);
i1 = min(i1, nElts);
src = (T*)src + i0;
dst = (T*)dst + i0;
if (redOpArgIsPtr) {
if (redOpArg%2 != 0) {
redOpArg = *reinterpret_cast<uint8_t*>(redOpArg);
} else if (redOpArg%4 != 0) {
redOpArg = *reinterpret_cast<uint16_t*>(redOpArg);
} else if (redOpArg%8 != 0) {
redOpArg = *reinterpret_cast<uint32_t*>(redOpArg);
} else {
redOpArg = *reinterpret_cast<uint64_t*>(redOpArg);
}
}
reduceCopy<COLL_UNROLL, RedOp, T, 0,1,1, 0,1,1, /*PreOpSrcs=*/1>
(tid, tn, redOpArg, &redOpArg, true, 1, &src, 1, &dst, i1-i0);
}
}
ncclResult_t ncclLaunchOneRank(void* dst, void const* src, size_t nElts, struct ncclDevRedOpFull redOp, ncclDataType_t eltType, cudaStream_t stream) {
size_t eltSize = ncclTypeSize(eltType);
if (redOp.op != ncclDevPreMulSum) {
if (dst != src) {
NCCLCHECK(ncclCudaMemcpyAsync((char*)dst, (char*)src, nElts*eltSize, stream));
}
return ncclSuccess;
}
void const* kernel;
switch (eltType) {
case ncclInt8: kernel = (void const*)&oneRankReduce<FuncPreMulSum<int8_t>>; break;
case ncclUint8: kernel = (void const*)&oneRankReduce<FuncPreMulSum<uint8_t>>; break;
case ncclInt32: kernel = (void const*)&oneRankReduce<FuncPreMulSum<int32_t>>; break;
case ncclUint32: kernel = (void const*)&oneRankReduce<FuncPreMulSum<uint32_t>>; break;
case ncclInt64: kernel = (void const*)&oneRankReduce<FuncPreMulSum<int64_t>>; break;
case ncclUint64: kernel = (void const*)&oneRankReduce<FuncPreMulSum<uint64_t>>; break;
case ncclFloat16: kernel = (void const*)&oneRankReduce<FuncPreMulSum<half>>; break;
#if defined(RCCL_BFLOAT16)
case ncclBfloat16: kernel = (void const*)&oneRankReduce<FuncPreMulSum<rccl_bfloat16>>; break;
#endif
case ncclFloat32: kernel = (void const*)&oneRankReduce<FuncPreMulSum<float>>; break;
case ncclFloat64: kernel = (void const*)&oneRankReduce<FuncPreMulSum<double>>; break;
default: return ncclInvalidArgument;
}
dim3 grid = {0, 1, 1};
grid.x = std::min(32, (int)divUp(nElts*eltSize, 16<<10));
dim3 block = {512, 1, 1};
void* args[5] = {&dst, &src, &nElts, &redOp.scalarArg, &redOp.scalarArgIsPtr};
CUDACHECK(cudaLaunchKernel(kernel, grid, block, args, 0, stream));
return ncclSuccess;
}
projects/rccl/src/collectives/device/op128.h → projects/rccl/src/device/op128.h
+87 -13
Melihat File
@@ -175,8 +175,28 @@ template<> __device__ __forceinline__ BytePack<0> ld_volatile_global<0>(uintptr_
template<> __device__ __forceinline__ void st_global<0>(uintptr_t addr, BytePack<0> value) {}
//template<> __device__ __forceinline__ void st_shared<0>(uint32_t addr, BytePack<0> value) {}
#ifdef NEED_CHECKING
template<int Size> __device__ BytePack<Size> ld_global(uintptr_t addr);
template<int Size> __device__ BytePack<Size> ld_shared(uint32_t addr);
template<int Size> __device__ BytePack<Size> ld_volatile_global(uintptr_t addr);
template<int Size> __device__ BytePack<Size> ld_volatile_shared(uint32_t addr);
template<int Size> __device__ BytePack<Size> ld_relaxed_gpu_global(uintptr_t addr);
template<int Size> __device__ void st_global(uintptr_t addr, BytePack<Size> value);
template<int Size> __device__ void st_shared(uint32_t addr, BytePack<Size> value);
template<int Size> __device__ void st_relaxed_gpu_global(uintptr_t addr, BytePack<Size> value);
template<> __device__ __forceinline__ BytePack<0> ld_global<0>(uintptr_t addr) { return {}; }
template<> __device__ __forceinline__ BytePack<0> ld_shared<0>(uint32_t addr) { return {}; }
template<> __device__ __forceinline__ BytePack<0> ld_volatile_global<0>(uintptr_t addr) { return {}; }
template<> __device__ __forceinline__ BytePack<0> ld_volatile_shared<0>(uint32_t addr) { return {}; }
template<> __device__ __forceinline__ BytePack<0> ld_relaxed_gpu_global<0>(uintptr_t addr) { return {}; }
template<> __device__ __forceinline__ void st_global<0>(uintptr_t addr, BytePack<0> value) {}
template<> __device__ __forceinline__ void st_shared<0>(uint32_t addr, BytePack<0> value) {}
template<> __device__ __forceinline__ void st_relaxed_gpu_global<0>(uintptr_t addr, BytePack<0> value) {}
#endif
// Used to define implementations for above prototypes.
#define DEFINE_ld_st(bytes, data_cxx_ty, data_ptx_ty, data_reg_ty, space, addr_cxx_ty, addr_reg_ty) \
#define DEFINE_ld_st__size_space(bytes, data_cxx_ty, data_ptx_ty, data_reg_ty, space, addr_cxx_ty, addr_reg_ty) \
template<> \
__device__ __forceinline__ BytePack<bytes> ld_##space<bytes>(addr_cxx_ty addr) { \
data_cxx_ty tmp; \
@@ -198,19 +218,46 @@ template<> __device__ __forceinline__ void st_global<0>(uintptr_t addr, BytePack
data_cxx_ty tmp = value.native; \
*((data_cxx_ty *)addr) = tmp; \
}
#ifdef NEED_CHECKING
#if __CUDA_ARCH__ >= 700
#define PTX_relaxed_gpu "relaxed.gpu"
#else
#define PTX_relaxed_gpu "volatile"
#endif
#define DEFINE_ld_st_gpu_relaxed__size(bytes, data_cxx_ty, data_ptx_ty, data_reg_ty) \
template<> \
__device__ __forceinline__ BytePack<bytes> ld_relaxed_gpu_global<bytes>(uintptr_t addr) { \
data_cxx_ty tmp; \
asm("ld." PTX_relaxed_gpu ".global." #data_ptx_ty " %0, [%1];" : "="#data_reg_ty(tmp) : "l"(addr)); \
BytePack<bytes> ans; \
ans.native = tmp; \
return ans; \
} \
template<> \
__device__ __forceinline__ void st_relaxed_gpu_global<bytes>(uintptr_t addr, BytePack<bytes> value) { \
data_cxx_ty tmp = value.native; \
asm volatile("st." PTX_relaxed_gpu ".global." #data_ptx_ty " [%0], %1;" :: "l"(addr), #data_reg_ty(tmp) : "memory"); \
}
#endif
#define DEFINE_ld_st__size(bytes, data_cxx_ty, data_ptx_ty, data_reg_ty) \
DEFINE_ld_st__size_space(bytes, data_cxx_ty, data_ptx_ty, data_reg_ty, global, uintptr_t, l)
// DEFINE_ld_st__size_space(bytes, data_cxx_ty, data_ptx_ty, data_reg_ty, shared, uint32_t, r)
// DEFINE_ld_st_gpu_relaxed__size(bytes, data_cxx_ty, data_ptx_ty, data_reg_ty)
// Single-byte types use 4-byte registers since there is no 1-byte register
// character for asm blocks. See https://docs.nvidia.com/cuda/inline-ptx-assembly/index.html#constraints
DEFINE_ld_st(1, uint8_t, b8, r, global, uintptr_t, l)
//DEFINE_ld_st(1, uint32_t, b8, r, shared, uint32_t, r)
DEFINE_ld_st(2, uint16_t, b16, h, global, uintptr_t, l)
//DEFINE_ld_st(2, uint16_t, b16, h, shared, uint32_t, r)
DEFINE_ld_st(4, uint32_t, b32, r, global, uintptr_t, l)
//DEFINE_ld_st(4, uint32_t, b32, r, shared, uint32_t, r)
DEFINE_ld_st(8, uint64_t, b64, l, global, uintptr_t, l)
//DEFINE_ld_st(8, uint64_t, b64, l, shared, uint32_t, r)
#undef DEFINE_ld_st
DEFINE_ld_st__size(1, uint32_t, b8, r)
DEFINE_ld_st__size(2, uint16_t, b16, h)
DEFINE_ld_st__size(4, uint32_t, b32, r)
DEFINE_ld_st__size(8, uint64_t, b64, l)
#define DEFINE_ld_st_16(space, addr_cxx_ty, addr_reg_ty) \
#undef DEFINE_ld_st__size_space
#undef DEFINE_ld_st__size
#define DEFINE_ld_st_16__space(space, addr_cxx_ty, addr_reg_ty) \
template<> \
__device__ __forceinline__ BytePack<16> ld_##space<16>(addr_cxx_ty addr) { \
BytePack<16> ans; \
@@ -230,10 +277,26 @@ DEFINE_ld_st(8, uint64_t, b64, l, global, uintptr_t, l)
__builtin_nontemporal_store(value.u64[0], (uint64_t*)addr); \
__builtin_nontemporal_store(value.u64[1], (uint64_t*)addr+1); \
}
DEFINE_ld_st_16(global, uintptr_t, l)
//DEFINE_ld_st_16(shared, uint32_t, r)
DEFINE_ld_st_16__space(global, uintptr_t, l)
// DEFINE_ld_st_16__space(shared, uint32_t, r)
#undef DEFINE_ld_st_16
#ifdef NEED_CHECKING
template<>
__device__ __forceinline__ BytePack<16> ld_relaxed_gpu_global<16>(uintptr_t addr) {
BytePack<16> ans;
asm("ld." PTX_relaxed_gpu ".global.v2.b64 {%0,%1}, [%2];" : "=l"(ans.u64[0]), "=l"(ans.u64[1]) : "l"(addr));
return ans;
}
template<>
__device__ __forceinline__ void st_relaxed_gpu_global<16>(uintptr_t addr, BytePack<16> value) {
asm volatile("st." PTX_relaxed_gpu ".global.v2.b64 [%0], {%1,%2};" :: "l"(addr), "l"(value.u64[0]), "l"(value.u64[1]) : "memory");
}
#undef PTX_relaxed_gpu
#endif
////////////////////////////////////////////////////////////////////////////////
// Atomic load/store using c++ pointers.
@@ -247,6 +310,17 @@ __device__ __forceinline__ uint64_t ld_relaxed_sys_global(uint64_t *ptr) {
ans = __builtin_nontemporal_load(ptr);
return ans;
}
#ifdef NEED_CHECKING
__device__ __forceinline__ uint64_t ld_relaxed_gpu_global(uint64_t *ptr) {
uint64_t ans;
#if __CUDA_ARCH__ >= 700
asm("ld.relaxed.gpu.global.u64 %0, [%1];" : "=l"(ans) : "l"(cvta_to_global(ptr)));
#else
asm("ld.volatile.global.u64 %0, [%1];" : "=l"(ans) : "l"(cvta_to_global(ptr)));
#endif
return ans;
}
#endif
__device__ __forceinline__ uint64_t ld_acquire_sys_global(uint64_t *ptr) {
uint64_t ans;
ans = __atomic_load_n(ptr ,__ATOMIC_SEQ_CST);
projects/rccl/src/collectives/device/primitives.h → projects/rccl/src/device/primitives.h
Melihat File
projects/rccl/src/collectives/device/prims_ll.h → projects/rccl/src/device/prims_ll.h
+1 -1
Melihat File
@@ -594,7 +594,7 @@ private:
__device__ Primitives(
const int tid, const int nthreads, int const *recvPeers, int const *sendPeers,
void const *inputBuf, void *outputBuf, uint64_t redOpArg, uint8_t group=0,
uint8_t connIndexRecv=0, uint8_t connIndexSend=0
uint8_t connIndexRecv=0, uint8_t connIndexSend=0, struct ncclWorkElem* e = nullptr, int stepSize_=0
):
redOp(redOpArg),
tid(tid), nthreads(nthreads), wid(tid%WARP_SIZE), group(group),
projects/rccl/src/collectives/device/prims_ll128.h → projects/rccl/src/device/prims_ll128.h
+1 -1
Melihat File
@@ -501,7 +501,7 @@ public:
__device__ Primitives(
const int tid, const int nthreads, int const *recvPeers, int const *sendPeers,
void const *inputBuf, void *outputBuf, uint64_t redOpArg, uint8_t group=0,
uint8_t connIndexRecv=0, uint8_t connIndexSend=0
uint8_t connIndexRecv=0, uint8_t connIndexSend=0, struct ncclWorkElem* e = nullptr, int stepSize_=0
):
redOp(redOpArg),
tid(tid), nthreads(nthreads), wid(tid%WARP_SIZE), warp(tid/WARP_SIZE),
projects/rccl/src/collectives/device/prims_simple.h → projects/rccl/src/device/prims_simple.h
+125 -55
Melihat File
@@ -11,6 +11,7 @@
#endif
#include "msccl/msccl_struct.h"
#include "network/unpack/unpack.h"
template<typename T, typename RedOp, typename Fan, int Direct,
int SlicePerChunk, int StepPerSlice, int Unroll, int P2p, int MultimemSrcs, int MultimemDsts>
@@ -31,7 +32,11 @@ class Primitives<
DirectWrite = 0x200,
DirectRead = 0x400,
ThreadsSynced = 0x800,
NvlsMinPolling = 0x1000;
NvlsMinPolling = 0x1000,
NetDeviceUnpack = 0x2000,
AnyNetDeviceUnpack = 0x4000,
NvlsDirectRead = 0x8000,
NvlsDirectWrite = 0x10000;
const int tid, tidInBlock;
const int nthreads;
int nworkers;
@@ -55,6 +60,8 @@ class Primitives<
uint64_t* barriers;
uint64_t* barrier_next;
uint32_t* next_hdp_reg;
void* mhandle;
void* netDeviceHandle;
#if defined(ENABLE_NPKIT)
public:
@@ -130,7 +137,7 @@ private:
if (flags & OffsFifoEnabled)
ptrs[index] = connEltsFifo + loadInt(connOffsFifoPtr + (step%NCCL_STEPS))/sizeof(T);
else if (isSendNotRecv && DirectSend) {
if (flags & DirectWrite) {
if (flags & (DirectWrite | NvlsDirectWrite)) {
ptrs[index] = directBuff + dstIx + offset;
} else if (flags & DirectRead) { // empty send
ptrs[index] = nullptr;
@@ -138,7 +145,7 @@ private:
ptrs[index] = connEltsFifo + (step%NCCL_STEPS)*stepSize;
}
} else if (!isSendNotRecv && DirectRecv) {
if (flags & DirectRead) {
if (flags & (DirectRead | NvlsDirectRead)) {
ptrs[index] = directBuff + srcIx + offset;
} else if (flags & DirectWrite) {
ptrs[index] = directBuff + dstIx + offset; // send to next from my output buffer
@@ -149,6 +156,9 @@ private:
else {
ptrs[index] = connEltsFifo + (step%NCCL_STEPS)*stepSize;
}
if ((flags & (AnyNetDeviceUnpack)) && (flags & (Recv*RoleWaitRecv))) {
ncclNetDeviceIncrementHead(group);
}
step += StepPerSlice;
}
}
@@ -222,7 +232,16 @@ private:
/* if user abort the kernel, we don't need to actually perform copy/reduce; just set size
* to 0 to avoid unnecessary workload. */
int workSize = ncclShmem.aborted ? 0 : sliceSize;
if (DirectRecv && ncclShmem.groups[group].srcs[0] == ncclShmem.groups[group].dsts[0]) {
if (flags & AnyNetDeviceUnpack) {
ncclNetDeviceUnpack<Recv>(tid, tidInBlock, nworkers, group, ncclShmem.groups[group].devicePlugin.unpack.unpackNetDeviceIndexMask, Src, workSize);
// Sync here to make sure all workers are reading from the updated srcs)
subBarrier();
}
if (DirectRecv && ncclShmem.groups[group].srcs[0] == ncclShmem.groups[group].dsts[0]
/* NVLS can have srcs[0] == dsts[0], but we cannot enter this "if branch",
* so we need to check whether MultimemSrcs and MultimemDsts are 0. */
&& MultimemSrcs == 0 && MultimemDsts == 0) {
// We can only have one direct receive. Since srcs[0] == dstPtr+offset, skip one copy
if (Send) {
@@ -408,7 +427,7 @@ private:
// shift: peer offset to avoid all ranks sending to or receiving from same peer
template <int DirectRecv1, int DirectSend1, int Recv, int Send>
__device__ __forceinline__ void
ScatterGatherOp(intptr_t inpIx, intptr_t outIx, int totalElem, int peerElem, int peerOffset, int skip, int shift, bool postOp) {
ScatterGatherOp(intptr_t inpIx, intptr_t outIx, ssize_t totalElem, int peerElem, ssize_t peerOffset, int skip, int shift, bool postOp) {
constexpr int DirectRecv = /*1 &&*/ Direct && DirectRecv1;
constexpr int DirectSend = /*1 &&*/ Direct && DirectSend1;
int offset = 0; // slice offset
@@ -417,7 +436,7 @@ private:
#pragma unroll 1
for (int slice=0; slice<SlicePerChunk; ++slice) {
int realSize = max(0, min(dataSize, peerElem-offset));
ssize_t realSize = max(0, min(dataSize, peerElem-offset));
bool fenceNeeded = false;
if (tid < nworkers) {
if (Send) {
@@ -431,11 +450,11 @@ private:
// Loop over peers
for (int j=0; j<fan.nsend(); j++) {
int i = (j+shift)%fan.nsend();
int pOffset = i*peerOffset;
ssize_t pOffset = i*peerOffset;
// Skip the data I am responsible of reducing myself
if (skip >= 0 && i >= skip) pOffset += peerElem;
void* src0 = (T*)ncclShmem.groups[group].srcs[0] + pOffset;
int realPeerSize = min(realSize, totalElem-pOffset);
ssize_t realPeerSize = min(realSize, totalElem-pOffset);
if (realPeerSize > 0 && ncclShmem.groups[group].dsts[i] != nullptr) {
reduceCopy<Unroll, RedOp, T, 0, 1, 1, 0, 1, 1, PreOpSrcs>(tid, nworkers, ncclShmem.redOpArgs[0], ncclShmem.redOpArgs, false, 1, &src0, 1, ncclShmem.groups[group].dsts+i, realPeerSize);
// Mark for threadfence at the end
@@ -444,10 +463,10 @@ private:
}
} else if (Recv) {
if (flags & RoleOutput) ncclShmem.groups[group].dsts[0] = userBuff + outIx + offset;
int pOffset = index*peerOffset;
ssize_t pOffset = index*peerOffset;
if (skip >= 0 && index >= skip) pOffset += peerElem;
// Adjust remote index with peer offset in case we are directly pulling from peer's output buffer
waitPeer<DirectRecv, 0, 1, 0, 0, 1>(outIx, outIx+pOffset, offset, realSize);
waitPeer<DirectRecv, 0, 1, 0, 0, 1>(outIx+pOffset, outIx+pOffset, offset, realSize);
subBarrier();
#pragma unroll 1
for (int j=0; j<fan.nrecv(); j++) {
@@ -455,7 +474,7 @@ private:
pOffset = i*peerOffset;
if (skip >= 0 && i >= skip) pOffset += peerElem;
void* dst0 = (T*)ncclShmem.groups[group].dsts[0] + pOffset;
int realPeerSize = min(realSize, totalElem-pOffset);
ssize_t realPeerSize = min(realSize, totalElem-pOffset);
if (DirectRecv && ncclShmem.groups[group].srcs[i] == dst0) realPeerSize = 0;
if (realPeerSize > 0) reduceCopy<Unroll, RedOp, T, 0,1,1, 0,1,1, /*PreOpSrcs=*/0>(tid, nworkers, ncclShmem.redOpArgs[0], ncclShmem.redOpArgs, postOp, 1, ncclShmem.groups[group].srcs+i, 1, &dst0, realPeerSize);
}
@@ -470,6 +489,13 @@ private:
__device__ __forceinline__ void loadRecvConn(ncclDevChannelPeer *peer, int connIndex, struct ncclWorkElem* e) {
if (flags & (RoleWaitRecv|RolePostRecv)) {
auto *conn = &peer->recv[connIndex];
if (conn->netDeviceHandle.netDeviceType == NCCL_NET_DEVICE_UNPACK) {
// handle must be a device ptr
netDeviceHandle = conn->netDeviceHandle.handle;
// Cache the handle
ncclNetDeviceUnpackSetup(netDeviceHandle, group, index);
flags |= NetDeviceUnpack;
}
step = conn->step;
step = roundUp(step, SlicePerChunk*StepPerSlice);
if (flags & RolePostRecv) {
@@ -499,6 +525,9 @@ private:
// otherwise, in one-to-multi send, we could mix empty send and intermediate send
flags |= (conn->flags & NCCL_DIRECT_WRITE) ? DirectWrite : 0;
}
} else if ((conn->flags & NCCL_NVLS_MIN_POLL) && e != nullptr && e->regUsed) {
/* NVLS direct */
flags |= NvlsDirectRead;
}
}
if (flags & OffsFifoEnabled)
@@ -515,7 +544,8 @@ private:
step = roundUp(step, SlicePerChunk*StepPerSlice);
if (flags & RolePostSend) {
connStepPtr = conn->tail;
next_hdp_reg = conn->next_hdp_reg;
next_hdp_reg = conn->next_hdp_reg;
connEltsFifo = (T*)conn->buffs[NCCL_PROTO_SIMPLE];
}
if (flags & RoleWaitSend) {
ncclShmem.groups[group].sendConns[index] = conn; // WaitSend role saves since that's who needs it in setDataPtrs()
@@ -547,6 +577,9 @@ private:
// otherwise, in one-to-multi send, we could mix empty send and intermediate send
flags |= (conn->flags & NCCL_DIRECT_WRITE) ? DirectWrite : 0;
}
} else if ((conn->flags & NCCL_NVLS_MIN_POLL) && e != nullptr && e->regUsed) {
/* NVLS direct */
flags |= NvlsDirectWrite;
}
}
}
@@ -557,10 +590,10 @@ private:
__forceinline__ __device__ Primitives(
int tid, int nthreads, int const *recvPeers, int const *sendPeers,
void const *inputBuf, void *outputBuf, uint64_t redOpArg, uint8_t group=0,
uint8_t connIndexRecv = 0, uint8_t connIndexSend = 0, struct ncclWorkElem* e = nullptr
uint8_t connIndexRecv = 0, uint8_t connIndexSend = 0, struct ncclWorkElem* e = nullptr, int stepSize_=0
):
tid(tid), nthreads(nthreads), tidInBlock(threadIdx.x), group(group),
stepSize(ncclShmem.comm.buffSizes[NCCL_PROTO_SIMPLE]/NCCL_STEPS/sizeof(T)) {
stepSize(stepSize_ == 0 ? ncclShmem.comm.buffSizes[NCCL_PROTO_SIMPLE]/NCCL_STEPS/sizeof(T) : stepSize_) {
// For send operations, we need an extra warp to overlap the threadfence and the copy
barriers = &ncclShmem.groups[group].barrier;
@@ -598,6 +631,20 @@ private:
loadRecvConn(ncclShmem.channel.peers[peer], connIndexRecv, e);
loadSendConn(ncclShmem.channel.peers[peer], connIndexSend, e);
// if (barrierAny(flags & NetDeviceUnpack)) {
// flags |= AnyNetDeviceUnpack;
// // g == 0 is the first ThreadPerSync # of threads of this warp
// // g == 0 is also the RoleWaitRecv threads of this group, thus the thread ID will correlate to the peer index
// if (g == 0) {
// uint32_t mask = __ballot_sync((1U << ThreadPerSync) - 1, (flags & NetDeviceUnpack) ? 1 : 0);
// // We only want to update the shared memory variable with a single thread
// if (tid == 0) {
// ncclShmem.groups[this->group].devicePlugin.unpack.unpackNetDeviceIndexMask = mask;
// }
// }
// }
setDataPtrs(inputBuf, outputBuf, redOpArg, (struct ncclWorkElemReg*)e);
}
@@ -610,8 +657,10 @@ private:
auto *conns = (flags & RolePostSend) ? ncclShmem.groups[group].sendConns : ncclShmem.groups[group].recvConns;
conns[index]->step = step;
}
// Make sure all threads are done writing back conn->step and done using
// ncclShmem.groups[group]
if ((flags & (AnyNetDeviceUnpack)) && (flags & (RoleWaitRecv))) {
ncclNetDeviceSaveHead(netDeviceHandle, group);
}
barrier();
}
@@ -622,33 +671,41 @@ private:
}
if (flags & RoleOutput) userBuff = (T*)outputBuf;
bool recvProvider = flags == (flags|RoleWaitRecv|DirectWrite);
bool sendAcceptor = flags == (flags|RoleWaitSend|DirectWrite);
bool sendAcceptor = (flags == (flags|RoleWaitSend|DirectWrite)) || (flags == (flags|RoleWaitSend|NvlsDirectWrite));
bool sendProvider = flags == (flags|RoleWaitSend|DirectRead); // sender provides direct buffer (to be fetched)
bool recvAcceptor = flags == (flags|RoleWaitRecv|DirectRead); // receiver accepts direct buffer
bool recvAcceptor = flags == (flags|RoleWaitRecv|DirectRead) || (flags == (flags|RoleWaitRecv|NvlsDirectRead)); // receiver accepts direct buffer
int regUsed = e != nullptr ? e->elem.regUsed : 0;
if (Direct && recvProvider) {
int spins = 0;
void *volatile *slot = ncclShmem.groups[group].recvConns[index]->ptrExchange;
// Wait for consumer to consume previous value before trampling it.
while ((void *)atomicAdd((unsigned long long *) slot,0) != nullptr && !checkAbort(spins));
directBuff = (T*)outputBuf;
// Encode pointer by XOR'ing against some address they definitely wouldn't send
// since we want to allow them sending us nullptr while not colliding with
// the empty slot value.
*slot = reinterpret_cast<T*>(reinterpret_cast<uintptr_t>(directBuff) ^ reinterpret_cast<uintptr_t>(slot));
if (slot) {
while ((void *)atomicAdd((unsigned long long *) slot,0) != nullptr && !checkAbort(spins));
directBuff = (T*)outputBuf;
// Encode pointer by XOR'ing against some address they definitely wouldn't send
// since we want to allow them sending us nullptr while not colliding with
// the empty slot value.
*slot = reinterpret_cast<T*>(reinterpret_cast<uintptr_t>(directBuff) ^ reinterpret_cast<uintptr_t>(slot));
}
}
if (Direct && sendAcceptor) {
int spins = 0;
void *volatile *slot = ncclShmem.groups[group].sendConns[index]->ptrExchange;
void *ptr;
while (true) {
while (slot) {
ptr = (void *)atomicAdd((unsigned long long *) slot,0);
if (ptr != nullptr || checkAbort(spins)) break;
}
directBuff = regUsed ? (T*)(e->dnOutputs[index]) :
if (slot) {
directBuff = regUsed ? (T*)(e->dnOutputs[index]) :
reinterpret_cast<T*>(reinterpret_cast<uintptr_t>(ptr) ^ reinterpret_cast<uintptr_t>(slot));
*slot = nullptr;
*slot = nullptr;
} else {
/* slot is NULL, it must be regUsed == 1 */
directBuff = (T*)e->dnOutputs[index];
}
}
if (Direct && sendProvider) {
int spins = 0;
@@ -656,17 +713,19 @@ private:
volatile uint64_t* argSlot0 = ncclShmem.groups[group].sendConns[index]->redOpArgExchange;
volatile uint64_t* argSlot1 = ncclShmem.groups[group].sendConns[index]->redOpArgExchange+1;
// Wait for consumer to consume previous value before trampling it.
while (((void *)atomicAdd((unsigned long long *) slot,0) != nullptr || *argSlot0 != 0 || *argSlot1 !=0) && !checkAbort(spins));
// If there is no recv, then we are directly pulling from input buffer (e.g. directScatter)
// Otherwise, we are pulling from output buffer (e.g. recvCopyDirectSend)
directBuff = MaxRecv == 0 ? (T*)inputBuf : (T*)outputBuf;
// Exchange pre-scalers for use in direct pull
*argSlot0 = (uint64_t(1)<<32) | (uint32_t)redOpArg;
*argSlot1 = (uint64_t(1)<<32) | (uint32_t)(redOpArg>>32);
// Encode pointer by XOR'ing against some address they definitely wouldn't send
// since we want to allow them sending us nullptr while not colliding with
// the empty slot value.
*slot = reinterpret_cast<T*>(reinterpret_cast<uintptr_t>(directBuff) ^ reinterpret_cast<uintptr_t>(slot));
if (slot && argSlot0 && argSlot1) {
while (((void *)atomicAdd((unsigned long long *) slot,0) != nullptr || *argSlot0 != 0 || *argSlot1 !=0) && !checkAbort(spins));
// If there is no recv, then we are directly pulling from input buffer (e.g. directScatter)
// Otherwise, we are pulling from output buffer (e.g. recvCopyDirectSend)
directBuff = MaxRecv == 0 ? (T*)inputBuf : (T*)outputBuf;
// Exchange pre-scalers for use in direct pull
*argSlot0 = (uint64_t(1)<<32) | (uint32_t)redOpArg;
*argSlot1 = (uint64_t(1)<<32) | (uint32_t)(redOpArg>>32);
// Encode pointer by XOR'ing against some address they definitely wouldn't send
// since we want to allow them sending us nullptr while not colliding with
// the empty slot value.
*slot = reinterpret_cast<T*>(reinterpret_cast<uintptr_t>(directBuff) ^ reinterpret_cast<uintptr_t>(slot));
}
}
if (Direct && recvAcceptor) {
int spins = 0;
@@ -674,24 +733,29 @@ private:
volatile uint64_t* argSlot0 = ncclShmem.groups[group].recvConns[index]->redOpArgExchange;
volatile uint64_t* argSlot1 = ncclShmem.groups[group].recvConns[index]->redOpArgExchange+1;
void *ptr;
while (true) {
while (slot) {
ptr = (void *)atomicAdd((unsigned long long *) slot,0);
if (ptr != nullptr || checkAbort(spins)) break;
}
directBuff = regUsed ? (T*)(MaxSend == 0 ? e->upOutputs[index] : e->dnInputs[index]) :
reinterpret_cast<T*>(reinterpret_cast<uintptr_t>(ptr) ^ reinterpret_cast<uintptr_t>(slot));
if (MaxSend != 0) { // reduce group rather than gather group
// Store scalers for remote inputs
uint64_t arg0, arg1;
while (true) {
arg0 = *argSlot0;
arg1 = *argSlot1;
if ((arg0 != 0 && arg1 != 0) || checkAbort(spins)) break;
if (slot && argSlot0 && argSlot1) {
directBuff = regUsed ? (T*)(MaxSend == 0 ? e->upOutputs[index] : e->dnInputs[index]) :
reinterpret_cast<T*>(reinterpret_cast<uintptr_t>(ptr) ^ reinterpret_cast<uintptr_t>(slot));
if (MaxSend != 0) { // reduce group rather than gather group
// Store scalers for remote inputs
uint64_t arg0, arg1;
while (true) {
arg0 = *argSlot0;
arg1 = *argSlot1;
if ((arg0 != 0 && arg1 != 0) || checkAbort(spins)) break;
}
ncclShmem.redOpArgs[1 + index] = ((arg1 & 0xffffffff) << 32) | (arg0 & 0xffffffff);
}
ncclShmem.redOpArgs[1+index] = ((arg1 & 0xffffffff)<<32) | (arg0 & 0xffffffff);
*argSlot0 = 0; *argSlot1 = 0;
*slot = nullptr;
} else {
directBuff = (T*)e->dnInputs[index];
}
*argSlot0 = 0; *argSlot1 = 0;
*slot = nullptr;
}
}
@@ -725,6 +789,9 @@ private:
__device__ __forceinline__ void directRecv(intptr_t outIx, int eltN) {
genericOp<1, 0, 1, 0, -1, Output>(-1, outIx, eltN, /*postOp=*/false);
}
__device__ __forceinline__ void directRecvCopy(intptr_t inpIx, intptr_t outIx, int eltN) {
genericOp<1, 0, 1, 0, -1, Output>(inpIx, outIx, eltN, /*postOp=*/false);
}
__device__ __forceinline__ void copySend(intptr_t inpIx, intptr_t outIx, int eltN, bool postOp=false) {
genericOp<0, 0, 0, 1, Input, Output>(inpIx, outIx, eltN, postOp);
@@ -742,6 +809,9 @@ private:
__device__ __forceinline__ void directRecvCopySend(intptr_t outIx, int eltN) {
genericOp<1, 1, 1, 1, -1, Output>(-1, outIx, eltN, false);
}
__device__ __forceinline__ void directRecvDirectSend(intptr_t inpIx, intptr_t outIx, int eltN) {
genericOp<1, 1, 1, 1, -1, -1>(inpIx, outIx, eltN, false);
}
__device__ __forceinline__ void recvCopyDirectSend(intptr_t outIx, int eltN, bool postOp=false) {
genericOp<0, 1, 1, 1, -1, Output>(-1, outIx, eltN, postOp);
}
@@ -766,20 +836,20 @@ private:
}
__device__ __forceinline__ void
scatter(intptr_t inpIx, int totalElem, int peerElem, int peerOffset, int skip, int shift) {
scatter(intptr_t inpIx, ssize_t totalElem, int peerElem, ssize_t peerOffset, int skip, int shift) {
ScatterGatherOp<0, 0, 0, 1>(inpIx, -1, totalElem, peerElem, peerOffset, skip, shift, /*postOp=*/false);
}
__device__ __forceinline__ void
directScatter(intptr_t inpIx, int totalElem, int peerElem, int peerOffset, int skip, int shift) {
directScatter(intptr_t inpIx, ssize_t totalElem, int peerElem, ssize_t peerOffset, int skip, int shift) {
ScatterGatherOp<0, 1, 0, 1>(inpIx, -1, totalElem, peerElem, peerOffset, skip, shift, /*postOp=*/false);
}
__device__ __forceinline__ void
gather(intptr_t outIx, int totalElem, int peerElem, int peerOffset, int skip, int shift, bool postOp=false) {
gather(intptr_t outIx, ssize_t totalElem, int peerElem, ssize_t peerOffset, int skip, int shift, bool postOp=false) {
ScatterGatherOp<0, 0, 1, 0>(-1, outIx, totalElem, peerElem, peerOffset, skip, shift, postOp);
}
__device__ __forceinline__ void
directGather(intptr_t outIx, int totalElem, int peerElem, int peerOffset, int skip, int shift) {
directGather(intptr_t outIx, ssize_t totalElem, int peerElem, ssize_t peerOffset, int skip, int shift) {
ScatterGatherOp<1, 0, 1, 0>(-1, outIx, totalElem, peerElem, peerOffset, skip, shift, /*postOp=*/false);
}
projects/rccl/src/collectives/device/reduce.h → projects/rccl/src/device/reduce.h
+1 -1
Melihat File
@@ -5,7 +5,7 @@
* See LICENSE.txt for license information
************************************************************************/
#include "devcomm.h"
#include "device.h"
#include "collectives.h"
#include "primitives.h"
projects/rccl/src/collectives/device/reduce_kernel.h → projects/rccl/src/device/reduce_kernel.h
+175 -124
Melihat File
@@ -13,6 +13,19 @@
#include <limits>
#include <type_traits>
template<typename T>
struct IsFloatingPoint: std::false_type {};
template<>
struct IsFloatingPoint<half>: std::true_type {};
#if defined(RCCL_BFLOAT16)
template<>
struct IsFloatingPoint<rccl_bfloat16>: std::true_type {};
#endif
template<>
struct IsFloatingPoint<float>: std::true_type {};
template<>
struct IsFloatingPoint<double>: std::true_type {};
////////////////////////////////////////////////////////////////////////////////
// The reduction function classes. All classes must:
// 1. Expose the `EltType` typedef.
@@ -20,16 +33,21 @@
// 3. Have constructor taking `uint64_t opArg`.
template<typename T>
struct FuncNull { using EltType = T; __device__ FuncNull(uint64_t opArg=0) {}; };
struct FuncCopy { using EltType = T; __device__ FuncCopy(uint64_t opArg=0) {}; };
template<typename T>
struct FuncSum { using EltType = T; __device__ FuncSum(uint64_t opArg=0) {}; };
template<typename T>
struct FuncProd { using EltType = T; __device__ FuncProd(uint64_t opArg=0) {}; };
template<typename T>
struct FuncMin { using EltType = T; __device__ FuncMin(uint64_t opArg=0) {}; };
template<typename T>
struct FuncMax { using EltType = T; __device__ FuncMax(uint64_t opArg=0) {}; };
struct FuncMinMax {
using EltType = T;
BytePack<sizeof(T)> xormask; // only used by integers
bool isMinNotMax; // only used by floats
__device__ FuncMinMax(uint64_t opArg=0) {
xormask.native = opArg;
isMinNotMax = (opArg&1)==0;
}
};
template<typename T> struct FuncPreMulSum;
template<typename T> struct FuncSumPostDiv;
@@ -128,8 +146,8 @@ struct Apply_Reduce {
// Base case definitions (EltPerPack == 1)
template<typename T>
struct Apply_Reduce<FuncNull<T>, /*EltPerPack=*/1> {
__device__ static BytePack<sizeof(T)> reduce(FuncSum<T> fn, BytePack<sizeof(T)> a, BytePack<sizeof(T)> b) {
struct Apply_Reduce<FuncCopy<T>, /*EltPerPack=*/1> {
__device__ static BytePack<sizeof(T)> reduce(FuncCopy<T> fn, BytePack<sizeof(T)> a, BytePack<sizeof(T)> b) {
return a;
}
};
@@ -146,15 +164,9 @@ struct Apply_Reduce<FuncProd<T>, /*EltPerPack=*/1> {
}
};
template<typename T>
struct Apply_Reduce<FuncMin<T>, /*EltPerPack=*/1> {
__device__ static BytePack<sizeof(T)> reduce(FuncMin<T> fn, BytePack<sizeof(T)> a, BytePack<sizeof(T)> b) {
return toPack<T>(min(fromPack<T>(a), fromPack<T>(b)));
}
};
template<typename T>
struct Apply_Reduce<FuncMax<T>, /*EltPerPack=*/1> {
__device__ static BytePack<sizeof(T)> reduce(FuncMax<T> fn, BytePack<sizeof(T)> a, BytePack<sizeof(T)> b) {
return toPack<T>(max(fromPack<T>(a), fromPack<T>(b)));
struct Apply_Reduce<FuncMinMax<T>, /*EltPerPack=*/1> {
__device__ static BytePack<sizeof(T)> reduce(FuncMinMax<T> fn, BytePack<sizeof(T)> a, BytePack<sizeof(T)> b) {
return (a.native ^ fn.xormask.native) < (b.native ^ fn.xormask.native) ? a : b;
}
};
@@ -162,57 +174,57 @@ struct Apply_Reduce<FuncMax<T>, /*EltPerPack=*/1> {
template<>
struct Apply_Reduce<FuncSum<uint8_t>, /*EltPerPack=*/4> {
__device__ static BytePack<4> reduce(FuncSum<uint8_t> fn, BytePack<4> a, BytePack<4> b) {
constexpr uint32_t lo = 0x00ff00ff;
constexpr uint32_t hi = ~lo;
uint32_t x = a.u32;
uint32_t y = b.u32;
a.u32 = (((x&lo) + (y&lo))&lo) + (((x&hi) + (y&hi))&hi);
constexpr uint32_t even = 0x00ff00ffu;
uint32_t x = (a.native & even) + (b.native & even);
uint32_t y = (a.native & ~even) + (b.native & ~even);
//a.native = (x & even) | (y & ~even);
a.native = __byte_perm(x, y, 0x7250);
return a;
}
};
template<>
struct Apply_Reduce<FuncSum<int8_t>, /*EltPerPack=*/4> {
__device__ static BytePack<4> reduce(FuncSum<int8_t> fn, BytePack<4> a, BytePack<4> b) {
return Apply_Reduce<FuncSum<uint8_t>, 4>::reduce(FuncSum<uint8_t>(), a, b);
struct Apply_Reduce<FuncMinMax<uint8_t>, /*EltPerPack=*/4> {
__device__ static BytePack<4> reduce(FuncMinMax<uint8_t> fn, BytePack<4> a, BytePack<4> b) {
constexpr uint32_t ones = 0x01010101u;
constexpr uint32_t even = 0x00ff00ffu; // even byte mask
// Replicate xormask to all bytes
uint32_t x = fn.xormask.native * ones;
// Transform inputs by xormask
uint32_t ax = a.native ^ x;
uint32_t bx = b.native ^ x;
// Use 9-bit arithmetic to compute d=a-b
uint32_t d0 = (ax & even) + (~bx & even) + ones;
uint32_t d1 = (ax>>8 & even) + (~(bx>>8) & even) + ones;
// Move sign bit of each 9-bit delta into the least bit of origin byte
//uint32_t s = (d0>>8 & ones & even) | (d1 & ones & ~even);
uint32_t s = __byte_perm(d0, d1, 0x7351) & ones;
// Broadcast least bit across whole byte
s *= 0xffu;
// Compose result by selecting bytes via: signbit(a-b)==1 ? a : b
a.native = (a.native & s) | (b.native & ~s);
return a;
}
};
#if 300 <= __CUDA_ARCH__ && __CUDA_ARCH__ < 500
template<>
struct Apply_Reduce<FuncMin<uint8_t>, /*EltPerPack=*/4> {
__device__ static BytePack<4> reduce(FuncMin<uint8_t> fn, BytePack<4> a, BytePack<4> b) {
uint32_t z=0;
asm("vmin4.u32.u32.u32 %0, %1, %2, %3;" : "=r"(a.u32) : "r"(a.u32), "r"(b.u32), "r"(z));
return a;
}
};
template<>
struct Apply_Reduce<FuncMin<int8_t>, /*EltPerPack=*/4> {
__device__ static BytePack<4> reduce(FuncMin<int8_t> fn, BytePack<4> a, BytePack<4> b) {
int32_t z=0;
asm("vmin4.s32.s32.s32 %0, %1, %2, %3;" : "=r"(a.u32) : "r"(a.u32), "r"(b.u32), "r"(z));
return a;
}
};
template<>
struct Apply_Reduce<FuncMax<uint8_t>, /*EltPerPack=*/4> {
__device__ static BytePack<4> reduce(FuncMax<uint8_t> fn, BytePack<4> a, BytePack<4> b) {
uint32_t z=0;
asm("vmax4.u32.u32.u32 %0, %1, %2, %3;" : "=r"(a.u32) : "r"(a.u32), "r"(b.u32), "r"(z));
return a;
}
};
template<>
struct Apply_Reduce<FuncMax<int8_t>, /*EltPerPack=*/4> {
__device__ static BytePack<4> reduce(FuncMax<int8_t> fn, BytePack<4> a, BytePack<4> b) {
int32_t z=0;
asm("vmax4.s32.s32.s32 %0, %1, %2, %3;" : "=r"(a.u32) : "r"(a.u32), "r"(b.u32), "r"(z));
return a;
}
};
#ifdef NEED_CHECKING
template<>
struct Apply_Reduce<FuncProd<uint8_t>, /*EltPerPack=*/4> {
__device__ static BytePack<4> reduce(FuncProd<uint8_t> fn, BytePack<4> apack, BytePack<4> bpack) {
uint32_t a = apack.native;
uint32_t b = bpack.native;
uint32_t ab0 = (a*b) & 0xffu;
asm("mad.lo.u32 %0, %1, %2, %0;" : "+r"(ab0) : "r"(a&0xff00u), "r"(b&0xff00u));
uint32_t ab1;
asm("mul.hi.u32 %0, %1, %2;" : "=r"(ab1) : "r"(a&0xff0000), "r"(b&0xff0000));
asm("mad.hi.u32 %0, %1, %2, %0;" : "+r"(ab1) : "r"(a&0xff000000u), "r"(b&0xff000000u));
apack.native = __byte_perm(ab0, ab1, 0x6420);
return apack;
}
};
#endif
#define SPECIALIZE_REDUCE(Fn, T, EltPerPack, Vec, expr_of_x_y) \
#define SPECIALIZE_REDUCE(Fn, T, EltPerPack, Vec, expr_of_fn_x_y) \
template<> \
struct Apply_Reduce<Fn<T>, EltPerPack> { \
__device__ __forceinline__ static BytePack<sizeof(Vec)> reduce( \
@@ -220,10 +232,13 @@ struct Apply_Reduce<FuncSum<int8_t>, /*EltPerPack=*/4> {
) { \
Vec x = fromPack<Vec>(a); \
Vec y = fromPack<Vec>(b); \
return toPack<Vec>(expr_of_x_y); \
return toPack<Vec>(expr_of_fn_x_y); \
} \
};
SPECIALIZE_REDUCE(FuncMinMax, float, 1, float, fn.isMinNotMax ? fminf(x, y) : fmaxf(x, y))
SPECIALIZE_REDUCE(FuncMinMax, double, 1, double, fn.isMinNotMax ? fmin(x, y) : fmax(x, y))
#if __CUDA_ARCH__ >= 530 && __CUDA_ARCH__ != 610
SPECIALIZE_REDUCE(FuncSum, half, 1, half, __hadd(x, y))
SPECIALIZE_REDUCE(FuncSum, half, 2, half2, __hadd2(x, y))
@@ -235,13 +250,10 @@ struct Apply_Reduce<FuncSum<int8_t>, /*EltPerPack=*/4> {
#endif
#if __CUDA_ARCH__ >= 800
SPECIALIZE_REDUCE(FuncMin, half, 1, half, __hmin(x, y))
SPECIALIZE_REDUCE(FuncMin, half, 2, half2, __hmin2(x, y))
SPECIALIZE_REDUCE(FuncMax, half, 1, half, __hmax(x, y))
SPECIALIZE_REDUCE(FuncMax, half, 2, half2, __hmax2(x, y))
SPECIALIZE_REDUCE(FuncMinMax, half, 1, half, fn.isMinNotMax ? __hmin(x, y) : __hmax(x, y))
SPECIALIZE_REDUCE(FuncMinMax, half, 2, half2, fn.isMinNotMax ? __hmin2(x, y) : __hmax2(x, y))
#else
SPECIALIZE_REDUCE(FuncMin, half, 1, half, __float2half(fminf(__half2float(x), __half2float(y))))
SPECIALIZE_REDUCE(FuncMax, half, 1, half, __float2half(fmaxf(__half2float(x), __half2float(y))))
SPECIALIZE_REDUCE(FuncMinMax, half, 1, half, __float2half(fn.isMinNotMax ? fminf(__half2float(x), __half2float(y)) : fmaxf(__half2float(x), __half2float(y))))
#endif
#if defined(RCCL_BFLOAT16)
@@ -250,15 +262,12 @@ struct Apply_Reduce<FuncSum<int8_t>, /*EltPerPack=*/4> {
SPECIALIZE_REDUCE(FuncSum, __nv_bfloat16, 2, __nv_bfloat162, __hadd2(x, y))
SPECIALIZE_REDUCE(FuncProd, __nv_bfloat16, 1, __nv_bfloat16, __hmul(x, y))
SPECIALIZE_REDUCE(FuncProd, __nv_bfloat16, 2, __nv_bfloat162, __hmul2(x, y))
SPECIALIZE_REDUCE(FuncMin, __nv_bfloat16, 1, __nv_bfloat16, __hmin(x, y))
SPECIALIZE_REDUCE(FuncMin, __nv_bfloat16, 2, __nv_bfloat162, __hmin2(x, y))
SPECIALIZE_REDUCE(FuncMax, __nv_bfloat16, 1, __nv_bfloat16, __hmax(x, y))
SPECIALIZE_REDUCE(FuncMax, __nv_bfloat16, 2, __nv_bfloat162, __hmax2(x, y))
SPECIALIZE_REDUCE(FuncMinMax, __nv_bfloat16, 1, __nv_bfloat16, fn.isMinNotMax ? __hmin(x, y) : __hmax(x, y))
SPECIALIZE_REDUCE(FuncMinMax, __nv_bfloat16, 2, __nv_bfloat162, fn.isMinNotMax ? __hmin2(x, y) : __hmax2(x, y))
#else
SPECIALIZE_REDUCE(FuncSum, rccl_bfloat16, 1, rccl_bfloat16, (rccl_bfloat16)((float)(x) + (float)(y)))
SPECIALIZE_REDUCE(FuncProd, rccl_bfloat16, 1, rccl_bfloat16, (rccl_bfloat16)((float)(x) * (float)(y)))
SPECIALIZE_REDUCE(FuncMin, rccl_bfloat16, 1, rccl_bfloat16, (rccl_bfloat16)(fminf((float)(x), (float)(y))))
SPECIALIZE_REDUCE(FuncMax, rccl_bfloat16, 1, rccl_bfloat16, (rccl_bfloat16)(fmaxf((float)(x), (float)(y))))
SPECIALIZE_REDUCE(FuncMinMax, rccl_bfloat16, 1, rccl_bfloat16, (rccl_bfloat16)(fn.isMinNotMax ? fminf((float)(x), (float)(y)) : fmaxf((float)(x), (float)(y))))
#endif
#endif
@@ -480,19 +489,6 @@ struct Apply_PreOp<FuncPreMulSum<half>, /*EltPerPack=*/1> {
////////////////////////////////////////////////////////////////////////////////
// FuncSumPostDiv
template<typename T>
struct IsFloatingPoint: std::false_type {};
template<>
struct IsFloatingPoint<half>: std::true_type {};
#if defined(RCCL_BFLOAT16)
template<>
struct IsFloatingPoint<rccl_bfloat16>: std::true_type {};
#endif
template<>
struct IsFloatingPoint<float>: std::true_type {};
template<>
struct IsFloatingPoint<double>: std::true_type {};
template<typename T, bool IsFloating=IsFloatingPoint<T>::value>
struct FuncSumPostDiv_IntOnly;
@@ -544,25 +540,44 @@ struct Apply_PostOp<FuncSumPostDiv<T>, /*EltPerPack=*/1> {
#define SIZEOF_BytePack_field_u64 8
#define PTX_REG_BytePack_field_u64 "l"
#define DEFINE_Apply_LoadMultimem(Fn, T, op, ptx_ty, pack_field) \
#define DEFINE_Apply_LoadMultimem_sum(T, ptx_ty, pack_field) \
template<> \
struct Apply_LoadMultimem<Fn<T>, SIZEOF_BytePack_field_##pack_field> { \
struct Apply_LoadMultimem<FuncSum<T>, SIZEOF_BytePack_field_##pack_field> { \
static constexpr int PackSize = SIZEOF_BytePack_field_##pack_field; \
__device__ static BytePack<PackSize> load(Fn<T> fn, uintptr_t addr) { \
__device__ static BytePack<PackSize> load(FuncSum<T> fn, uintptr_t addr) { \
BytePack<PackSize> ans; \
asm("multimem.ld_reduce.relaxed.sys.global." #op "." #ptx_ty " %0, [%1];" \
asm("multimem.ld_reduce.relaxed.sys.global.add." #ptx_ty " %0, [%1];" \
: "=" PTX_REG_BytePack_field_##pack_field(ans.pack_field) \
: "l"(addr)); \
return ans; \
} \
};
#define DEFINE_Apply_LoadMultimem_v4(Fn, T, op, ptx_ty, pack_field) \
#define DEFINE_Apply_LoadMultimem_minmax(T, ptx_ty, pack_field) \
template<> \
struct Apply_LoadMultimem<Fn<T>, 4*(SIZEOF_BytePack_field_##pack_field)> { \
static constexpr int PackSize = 4*(SIZEOF_BytePack_field_##pack_field); \
__device__ static BytePack<PackSize> load(Fn<T> fn, uintptr_t addr) { \
struct Apply_LoadMultimem<FuncMinMax<T>, SIZEOF_BytePack_field_##pack_field> { \
static constexpr int PackSize = SIZEOF_BytePack_field_##pack_field; \
__device__ static BytePack<PackSize> load(FuncMinMax<T> fn, uintptr_t addr) { \
BytePack<PackSize> ans; \
asm("multimem.ld_reduce.relaxed.sys.global." #op ".v4." #ptx_ty " {%0,%1,%2,%3}, [%4];" \
if (fn.isMinNotMax) { \
asm("multimem.ld_reduce.relaxed.sys.global.min." #ptx_ty " %0, [%1];" \
: "=" PTX_REG_BytePack_field_##pack_field(ans.pack_field) \
: "l"(addr)); \
} else { \
asm("multimem.ld_reduce.relaxed.sys.global.max." #ptx_ty " %0, [%1];" \
: "=" PTX_REG_BytePack_field_##pack_field(ans.pack_field) \
: "l"(addr)); \
} \
return ans; \
} \
};
#define DEFINE_Apply_LoadMultimem_sum_v4(T, ptx_ty, pack_field) \
template<> \
struct Apply_LoadMultimem<FuncSum<T>, 4*(SIZEOF_BytePack_field_##pack_field)> { \
static constexpr int PackSize = 4*(SIZEOF_BytePack_field_##pack_field); \
__device__ static BytePack<PackSize> load(FuncSum<T> fn, uintptr_t addr) { \
BytePack<PackSize> ans; \
asm("multimem.ld_reduce.relaxed.sys.global.add.v4." #ptx_ty " {%0,%1,%2,%3}, [%4];" \
: "=" PTX_REG_BytePack_field_##pack_field(ans.pack_field[0]), \
"=" PTX_REG_BytePack_field_##pack_field(ans.pack_field[1]), \
"=" PTX_REG_BytePack_field_##pack_field(ans.pack_field[2]), \
@@ -571,18 +586,61 @@ struct Apply_PostOp<FuncSumPostDiv<T>, /*EltPerPack=*/1> {
return ans; \
} \
};
#define DEFINE_Apply_LoadMultimem_v4x2_and_subhalf(Fn, T, op, ptx_ty, pack_field) \
DEFINE_Apply_LoadMultimem_v4(Fn, T, op, ptx_ty, pack_field) \
#define DEFINE_Apply_LoadMultimem_minmax_v4(T, ptx_ty, pack_field) \
template<> \
struct Apply_LoadMultimem<Fn<T>, sizeof(T)> { \
__device__ static BytePack<sizeof(T)> load(Fn<T> fn, uintptr_t addr) { \
struct Apply_LoadMultimem<FuncMinMax<T>, 4*(SIZEOF_BytePack_field_##pack_field)> { \
static constexpr int PackSize = 4*(SIZEOF_BytePack_field_##pack_field); \
__device__ static BytePack<PackSize> load(FuncMinMax<T> fn, uintptr_t addr) { \
BytePack<PackSize> ans; \
if (fn.isMinNotMax) { \
asm("multimem.ld_reduce.relaxed.sys.global.min.v4." #ptx_ty " {%0,%1,%2,%3}, [%4];" \
: "=" PTX_REG_BytePack_field_##pack_field(ans.pack_field[0]), \
"=" PTX_REG_BytePack_field_##pack_field(ans.pack_field[1]), \
"=" PTX_REG_BytePack_field_##pack_field(ans.pack_field[2]), \
"=" PTX_REG_BytePack_field_##pack_field(ans.pack_field[3]) \
: "l"(addr)); \
} else { \
asm("multimem.ld_reduce.relaxed.sys.global.max.v4." #ptx_ty " {%0,%1,%2,%3}, [%4];" \
: "=" PTX_REG_BytePack_field_##pack_field(ans.pack_field[0]), \
"=" PTX_REG_BytePack_field_##pack_field(ans.pack_field[1]), \
"=" PTX_REG_BytePack_field_##pack_field(ans.pack_field[2]), \
"=" PTX_REG_BytePack_field_##pack_field(ans.pack_field[3]) \
: "l"(addr)); \
} \
return ans; \
} \
};
#define DEFINE_Apply_LoadMultimem_sum_v4x2_and_subhalf(T, ptx_ty, pack_field) \
DEFINE_Apply_LoadMultimem_sum_v4(T, ptx_ty, pack_field) \
template<> \
struct Apply_LoadMultimem<FuncSum<T>, sizeof(T)> { \
__device__ static BytePack<sizeof(T)> load(FuncSum<T> fn, uintptr_t addr) { \
BytePack<2*sizeof(T)> tmp; \
asm("multimem.ld_reduce.relaxed.sys.global." #op "." #ptx_ty " %0, [%1];" \
asm("multimem.ld_reduce.relaxed.sys.global.add." #ptx_ty " %0, [%1];" \
: "=" PTX_REG_BytePack_field_##pack_field(tmp.pack_field) \
: "l"(addr & -uintptr_t(sizeof(T)))); \
return tmp.half[(addr/sizeof(T))%2]; \
} \
};
#define DEFINE_Apply_LoadMultimem_minmax_v4x2_and_subhalf(T, ptx_ty, pack_field) \
DEFINE_Apply_LoadMultimem_minmax_v4(T, ptx_ty, pack_field) \
template<> \
struct Apply_LoadMultimem<FuncMinMax<T>, sizeof(T)> { \
__device__ static BytePack<sizeof(T)> load(FuncMinMax<T> fn, uintptr_t addr) { \
BytePack<2*sizeof(T)> tmp; \
if (fn.isMinNotMax) { \
asm("multimem.ld_reduce.relaxed.sys.global.min." #ptx_ty " %0, [%1];" \
: "=" PTX_REG_BytePack_field_##pack_field(tmp.pack_field) \
: "l"(addr & -uintptr_t(sizeof(T)))); \
} else { \
asm("multimem.ld_reduce.relaxed.sys.global.max." #ptx_ty " %0, [%1];" \
: "=" PTX_REG_BytePack_field_##pack_field(tmp.pack_field) \
: "l"(addr & -uintptr_t(sizeof(T)))); \
} \
return tmp.half[(addr/sizeof(T))%2]; \
} \
};
template<typename Fn, int BytePerPack>
struct Apply_LoadMultimem {
@@ -599,46 +657,39 @@ struct Apply_LoadMultimem {
static constexpr bool IsSum = std::is_same<Fn, FuncSum<T>>::value ||
std::is_same<Fn, FuncPreMulSum<T>>::value ||
std::is_same<Fn, FuncSumPostDiv<T>>::value;
static constexpr bool IsMinOrMax = std::is_same<Fn, FuncMin<T>>::value ||
std::is_same<Fn, FuncMax<T>>::value;
static constexpr bool IsMinMax = std::is_same<Fn, FuncMinMax<T>>::value;
static constexpr bool IsFloat = IsFloatingPoint<T>::value;
static constexpr int BigPackSize =
IsFloat && IsSum && sizeof(T) < 8 ? 16 :
IsFloat && IsSum ? 8 :
IsFloat && IsMinOrMax && sizeof(T)==2 ? 16 :
!IsFloat && (IsSum||IsMinOrMax) && sizeof(T)>=4 ? sizeof(T) :
IsFloat && IsMinMax && sizeof(T)==2 ? 16 :
!IsFloat && (IsSum||IsMinMax) && sizeof(T)>=4 ? sizeof(T) :
/*multimem.ld_reduce not supported:*/ 0;
};
DEFINE_Apply_LoadMultimem(FuncSum, uint32_t, add, u32, u32)
DEFINE_Apply_LoadMultimem(FuncMin, uint32_t, min, u32, u32)
DEFINE_Apply_LoadMultimem(FuncMax, uint32_t, max, u32, u32)
DEFINE_Apply_LoadMultimem_sum(uint32_t, u32, u32)
DEFINE_Apply_LoadMultimem_minmax(uint32_t, u32, u32)
DEFINE_Apply_LoadMultimem(FuncSum, int32_t, add, s32, u32)
DEFINE_Apply_LoadMultimem(FuncMin, int32_t, min, s32, u32)
DEFINE_Apply_LoadMultimem(FuncMax, int32_t, max, s32, u32)
DEFINE_Apply_LoadMultimem_sum(int32_t, s32, u32)
DEFINE_Apply_LoadMultimem_minmax(int32_t, s32, u32)
DEFINE_Apply_LoadMultimem(FuncSum, uint64_t, add, u64, u64)
DEFINE_Apply_LoadMultimem(FuncMin, uint64_t, min, u64, u64)
DEFINE_Apply_LoadMultimem(FuncMax, uint64_t, max, u64, u64)
DEFINE_Apply_LoadMultimem_sum(uint64_t, u64, u64)
DEFINE_Apply_LoadMultimem_minmax(uint64_t, u64, u64)
DEFINE_Apply_LoadMultimem(FuncSum, int64_t, add, u64, u64)
DEFINE_Apply_LoadMultimem(FuncMin, int64_t, min, s64, u64)
DEFINE_Apply_LoadMultimem(FuncMax, int64_t, max, s64, u64)
DEFINE_Apply_LoadMultimem_sum(int64_t, u64, u64)
DEFINE_Apply_LoadMultimem_minmax(int64_t, s64, u64)
DEFINE_Apply_LoadMultimem(FuncSum, float, add, f32, u32)
DEFINE_Apply_LoadMultimem_v4(FuncSum, float, add, f32, u32)
DEFINE_Apply_LoadMultimem_sum(float, f32, u32)
DEFINE_Apply_LoadMultimem_sum_v4(float, f32, u32)
DEFINE_Apply_LoadMultimem(FuncSum, double, add, f64, u64)
DEFINE_Apply_LoadMultimem_sum(double, f64, u64)
DEFINE_Apply_LoadMultimem_v4x2_and_subhalf(FuncSum, half, add, f16x2, u32)
DEFINE_Apply_LoadMultimem_v4x2_and_subhalf(FuncMin, half, min, f16x2, u32)
DEFINE_Apply_LoadMultimem_v4x2_and_subhalf(FuncMax, half, max, f16x2, u32)
DEFINE_Apply_LoadMultimem_sum_v4x2_and_subhalf(half, f16x2, u32)
DEFINE_Apply_LoadMultimem_minmax_v4x2_and_subhalf(half, f16x2, u32)
#if defined(__CUDA_BF16_TYPES_EXIST__)
DEFINE_Apply_LoadMultimem_v4x2_and_subhalf(FuncSum, __nv_bfloat16, add, bf16x2, u32)
DEFINE_Apply_LoadMultimem_v4x2_and_subhalf(FuncMin, __nv_bfloat16, min, bf16x2, u32)
DEFINE_Apply_LoadMultimem_v4x2_and_subhalf(FuncMax, __nv_bfloat16, max, bf16x2, u32)
#if defined(RCCL_BFLOAT16)
DEFINE_Apply_LoadMultimem_sum_v4x2_and_subhalf(rccl_bfloat16, bf16x2, u32)
DEFINE_Apply_LoadMultimem_minmax_v4x2_and_subhalf(rccl_bfloat16, bf16x2, u32)
#endif
#else
template<typename Fn>
projects/rccl/src/collectives/device/reduce_scatter.h → projects/rccl/src/device/reduce_scatter.h
+59 -23
Melihat File
@@ -5,7 +5,7 @@
* See LICENSE.txt for license information
************************************************************************/
#include "devcomm.h"
#include "device.h"
#include "collectives.h"
#include "primitives.h"
@@ -103,33 +103,69 @@ struct RunWorkElement<ncclFuncReduceScatter, T, RedOp, NCCL_ALGO_NVLS, NCCL_PROT
const ssize_t chunkSize = int(args->lastChunkSize);
const ssize_t size = args->count;
const ssize_t loopSize = nChannels*chunkSize;
const int rank = ncclShmem.comm.rank;
const int nranks = ncclShmem.comm.nRanks;
const int nThreadsScatter = 128 + WARP_SIZE;
const int nThreadsReduce = 384;
/* if we are direct NVLS, we only need to allocate 1 warp to scatter for sync;
* if not, based on #ranks, we allocate 7 or 5 warps to reduce to saturate bandwidth
* and the rest are allocated to scatter. */
const int nThreadsReduce = args->regUsed ? (NCCL_MAX_NTHREADS - WARP_SIZE) : (nranks <= 6 ? 7 * WARP_SIZE : 5 * WARP_SIZE);
const int nThreadsScatter = args->regUsed ? WARP_SIZE : (NCCL_MAX_NTHREADS - nThreadsReduce);
const int tidEndScatter = nThreadsScatter;
const int tidEndReduce = tidEndScatter + nThreadsReduce;
using Proto = ProtoSimple<1, 1>;
if (tid < tidEndScatter) {
// Scatter
Primitives<T, RedOp, FanAsymmetric<0, NCCL_MAX_NVLS_ARITY>, /*Direct=*/0, Proto, 0>
prims(tid, nThreadsScatter, NULL, nvls->up, args->sendbuff, NULL,
args->redOpArg, 0*Proto::MaxGroupWidth, 0, 0);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + bid*chunkSize;
int nelem = min(chunkSize, size-offset);
prims.scatter(offset, nvls->nHeads*size, nelem, size, -1, 0);
if (!args->regUsed) {
if (tid < tidEndScatter) {
// Scatter
using Proto = ProtoSimple<1, 1, COLL_UNROLL>;
Primitives<T, RedOp, FanAsymmetric<0, NCCL_MAX_NVLS_ARITY>, /*Direct=*/0, Proto, 0>
prims(tid, nThreadsScatter, NULL, nvls->up, args->sendbuff, NULL,
args->redOpArg, 0 * Proto::MaxGroupWidth, 1, 1);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + bid * chunkSize;
int nelem = min(chunkSize, size - offset);
prims.scatter(offset, nvls->nHeads * size, nelem, size, -1, 0);
}
} else if (tid < tidEndReduce) {
// Reduce through NVLS
using Proto = ProtoSimple<1, 1, COLL_UNROLL, 1, 0>;
Primitives<T, RedOp, FanAsymmetric<1, 0>, /*Direct=*/0, Proto, 0>
prims(tid - tidEndScatter, nThreadsReduce, &nvls->down, NULL, NULL, args->recvbuff,
args->redOpArg, 3 * Proto::MaxGroupWidth, 0, 0);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + bid * chunkSize;
int nelem = min(chunkSize, size - offset);
prims.recv(offset, nelem);
}
}
} else if (tid < tidEndReduce) {
// Reduce through NVLS
Primitives<T, RedOp, FanAsymmetric<1, 0>, /*Direct=*/0, Proto, 0>
prims(tid-tidEndScatter, nThreadsReduce, &nvls->down, NULL, NULL, args->recvbuff,
args->redOpArg, 3*Proto::MaxGroupWidth, 1, 1);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t offset = gridOffset + bid*chunkSize;
int nelem = min(chunkSize, size-offset);
prims.recv(offset, nelem);
} else {
if (tid < tidEndScatter) {
// Scatter
using Proto = ProtoSimple<1, 1, COLL_UNROLL>;
Primitives<T, RedOp, FanSymmetric<NCCL_MAX_NVLS_ARITY>, /*Direct=*/0, Proto, 0>
prims(tid, nThreadsScatter, nvls->up, nvls->up, NULL, NULL,
args->redOpArg, 0 * Proto::MaxGroupWidth, 1, 1);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
prims.scatter(0, 0, 0, 0, -1, 0);
}
/* gather used as sync */
prims.gather(0, 0, 0, 0, -1, 0);
} else if (tid < tidEndReduce) {
// Reduce through NVLS
using Proto = ProtoSimple<1, 1, COLL_UNROLL, 1, 0>;
Primitives<T, RedOp, FanSymmetric<1>, /*Direct=*/1, Proto, 0>
prims(tid - tidEndScatter, nThreadsReduce, &nvls->down, &nvls->down, NULL, args->recvbuff,
args->redOpArg, 3 * Proto::MaxGroupWidth, 0, 0, args);
for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
ssize_t outOffset = gridOffset + bid * chunkSize;
ssize_t inpOffset = outOffset + rank * size;
int nelem = min(chunkSize, size - outOffset);
prims.directRecvCopy(inpOffset, outOffset, nelem);
}
/* send for sync */
prims.send(0, 0);
}
}
}
projects/rccl/src/collectives/device/sendrecv.h → projects/rccl/src/device/sendrecv.h
+5 -5
Melihat File
@@ -5,7 +5,7 @@
* See LICENSE.txt for license information
************************************************************************/
#include "devcomm.h"
#include "device.h"
#include "collectives.h"
#include "primitives.h"
#if defined(ENABLE_NPKIT)
@@ -84,8 +84,8 @@ struct RunWork<ncclFuncSendRecv, T, RedOp, NCCL_ALGO_RING, NCCL_PROTO_SIMPLE> {
int chunkSize = args->chunkSize/sizeof(T);
if (args->proto == NCCL_PROTO_LL) chunkSize /= 2;
int const peer = args->peer;
Primitives<T, RedOp, FanAsymmetric<0, 1>, 0, Proto, 1> prims
(tid, nthreads, nullptr, &peer, buff, nullptr, /*redOpArg(ignored)=*/0, group, args->connIndex, args->connIndex);
Primitives<T, RedOp, FanAsymmetric<0, 1>, 1, Proto, 1> prims
(tid, nthreads, nullptr, &peer, buff, nullptr, /*redOpArg(ignored)=*/0, group, 1, 1, nullptr, ncclShmem.comm.p2pChunkSize/sizeof(T));
#if defined(ENABLE_NPKIT)
if (isNpKitThread) {
@@ -146,8 +146,8 @@ struct RunWork<ncclFuncSendRecv, T, RedOp, NCCL_ALGO_RING, NCCL_PROTO_SIMPLE> {
int chunkSize = args->chunkSize/sizeof(T);
if (args->proto == NCCL_PROTO_LL) chunkSize /= 2; // This is to account for chunkEffectiveSize
int const peer = args->peer;
Primitives<T, RedOp, FanAsymmetric<1, 0>, 0, Proto, 1> prims
(tid, nthreads, &peer, nullptr, nullptr, buff, /*redOpArg(ignored)=*/0, group, args->connIndex, args->connIndex);
Primitives<T, RedOp, FanAsymmetric<1, 0>, 1, Proto, 1> prims
(tid, nthreads, &peer, nullptr, nullptr, buff, /*redOpArg(ignored)=*/0, group, 1, 1, nullptr, ncclShmem.comm.p2pChunkSize/sizeof(T));
#if defined(ENABLE_NPKIT)
if (isNpKitThread) {
projects/rccl/src/enqueue.cc
+221 -103
Melihat File
@@ -17,28 +17,31 @@
#include "channel.h"
#include "rocmwrap.h"
#include "rccl_vars.h"
#include "transport.h"
#include <cstring> // std::memcpy
#include <cinttypes> // PRIx64
enum ncclRegBufferType {
NCCL_REGULAR_BUFFER = 0,
NCCL_IPC_REG_BUFFER = 1,
NCCL_NVLS_REG_BUFFER = 2,
NCCL_REG_BUFFER_NUM = 3
};
struct ncclKernelMatch {
void* kernelFn;
bool specialized;
};
typedef void(*ncclKern_t)(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead);
// Definition of rccl_main_kernel which is only used in here
IMPL_MAIN_KERN();
// Must be consistent with the ncclFuncSet enum
#ifdef ENABLE_COLLTRACE
static ncclKernelMatch const ncclKerns[2] = {
{(void *)rccl_main_kernel, true},
{(void *)rccl_main_kernel_debug, true},
{(void *)ncclDevKernel_Generic, true},
{(void *)ncclDevKernelDebug_Generic, true},
};
#else
static ncclKernelMatch const ncclKerns[1] = {
{(void*)rccl_main_kernel, true}
{(void*)ncclDevKernel_Generic, true}
};
#endif
@@ -170,7 +173,7 @@ static void appendWorkElemP2p(
struct ncclComm* comm, struct ncclKernelPlan* plan, int channelId,
struct ncclWorkElemP2p const *elem, bool fuseOk
) {
int funcIndex = ncclFuncId_P2p();
int funcIndex = ncclDevFuncId_P2p();
struct ncclKernelPlan::Channel* chan = &plan->channels[channelId];
struct ncclWorkList* q = ncclIntruQueueTail(&chan->workQueue);
if (q && funcIndex == q->work.header.funcIndex) {
@@ -192,7 +195,7 @@ static void appendWorkElemP2p(
}
q = ncclMemoryStackAlloc<struct ncclWorkList>(&comm->memScoped);
q->work.header.type = ncclWorkTypeP2p;
q->work.header.funcIndex = ncclFuncId_P2p();
q->work.header.funcIndex = ncclDevFuncId_P2p();
chan->p2pTailElem[ncclWorkP2pTypeRecv-1] = 0;
chan->p2pTailElem[ncclWorkP2pTypeSend-1] = 1;
q->work.p2pElems[chan->p2pTailElem[elem->p2pType-1]] = *elem; // C++ struct assignment
@@ -217,7 +220,7 @@ static ncclResult_t addProxyOpIfNeeded(struct ncclComm* comm, struct ncclKernelP
static ncclResult_t addCollToPlan(
struct ncclComm* comm, struct ncclKernelPlan* plan, int* nWorkBudget, int funcIndex,
struct ncclWorkElem const* workElem, struct ncclProxyOp const* proxyOp,
int nCollChannels, int nBid, size_t bytes, bool regBufUsed, void* regBufSend[], void* regBufRecv[]
int nCollChannels, int nBid, size_t bytes, ncclRegBufferType regBufType, void* regBufSend[], void* regBufRecv[]
) {
struct ncclKernelPlan::Channel *chans = plan->channels;
@@ -259,10 +262,9 @@ static ncclResult_t addCollToPlan(
// Add work elem
*nWorkBudget += chans[c].nWork;
if (!regBufUsed) {
if (regBufType == NCCL_REGULAR_BUFFER) {
appendWorkElemColl(comm, plan, c, funcIndex, workElem, bid);
} else {
// Buffer registration in play which could only for CollNet at the moment.
} else if (regBufType == NCCL_IPC_REG_BUFFER) {
struct ncclChannel* channel = &comm->channels[c];
struct ncclWorkElemReg workElemReg;
workElemReg.elem = *workElem; // C++ struct assignment
@@ -282,6 +284,18 @@ static ncclResult_t addCollToPlan(
workElemReg.upOutputs[i] = regBufRecv[j];
}
appendWorkElemColl(comm, plan, c, funcIndex, &workElemReg, bid);
} else if (regBufType == NCCL_NVLS_REG_BUFFER) {
struct ncclWorkElemReg workElemReg;
workElemReg.elem = *workElem; // C++ struct assignment
workElemReg.elem.regUsed = 1;
/* NVLS only has one send and recv buffer registered */
workElemReg.dnInputs[0] = regBufSend[0];
workElemReg.dnOutputs[0] = regBufRecv[0];
appendWorkElemColl(comm, plan, c, funcIndex, &workElemReg, bid);
} else {
/* impossible value */
WARN("Invalid regBufType %d\n", regBufType);
return ncclInvalidArgument;
}
*nWorkBudget -= chans[c].nWork; // subtract delta of chans[c].nWork
@@ -373,68 +387,118 @@ static void finishPlan(struct ncclKernelPlan* plan) {
plan->threadPerBlock = std::max(plan->threadPerBlock, 3*plan->comm->WarpSize);
}
int64_t ncclParamLocalRegister();
NCCL_PARAM(GraphRegister, "GRAPH_REGISTER", 1);
static ncclResult_t registerIntraNodeBuffers(
struct ncclComm* comm, struct ncclKernelPlan* plan, struct ncclInfo* info,
bool* outRegBufUsed,
void* outRegBufSend[NCCL_MAX_LOCAL_RANKS],
void* outRegBufRecv[NCCL_MAX_LOCAL_RANKS]
void* outRegBufRecv[NCCL_MAX_LOCAL_RANKS],
ncclRegBufferType *outRegBufType
) {
*outRegBufUsed = false;
ncclResult_t result = ncclSuccess;
*outRegBufType = NCCL_REGULAR_BUFFER;
#if CUDART_VERSION >= 11030
int localRank = comm->localRank;
if ((info->algorithm == NCCL_ALGO_NVLS || info->algorithm == NCCL_ALGO_NVLS_TREE) && comm->nvlsRegSupport) {
bool regBufUsed = false;
const void *sendbuff = info->sendbuff;
void *recvbuff = info->recvbuff;
cudaPointerAttributes sattr, rattr;
bool query = false;
if (info->coll == ncclFuncAllGather)
sendbuff = NULL;
else if (info->coll == ncclFuncReduceScatter)
recvbuff = NULL;
if (CUPFN(cuMemGetAddressRange) == nullptr) return ncclSuccess;
/* first try local registration. */
if (ncclParamLocalRegister()) {
CUDACHECK(cudaPointerGetAttributes(&sattr, info->sendbuff));
CUDACHECK(cudaPointerGetAttributes(&rattr, info->recvbuff));
query = true;
if (sattr.type == cudaMemoryTypeDevice && rattr.type == cudaMemoryTypeDevice)
ncclNvlsLocalRegisterBuffer(comm, sendbuff, recvbuff, info->sendbuffSize, info->recvbuffSize, &regBufUsed, outRegBufSend, outRegBufRecv);
}
struct HandlePair {
cudaIpcMemHandle_t ipc[2]; // {send, recv}
size_t offset[2]; // {send, recv}
};
struct HandlePair handles[NCCL_MAX_LOCAL_RANKS];
if (regBufUsed == false && plan->persistent && ncclParamGraphRegister()) {
if (!query) {
CUDACHECK(cudaPointerGetAttributes(&sattr, info->sendbuff));
CUDACHECK(cudaPointerGetAttributes(&rattr, info->recvbuff));
}
if (sattr.type == cudaMemoryTypeDevice && rattr.type == cudaMemoryTypeDevice)
ncclNvlsGraphRegisterBuffer(comm, plan, sendbuff, recvbuff, info->sendbuffSize, info->recvbuffSize, &regBufUsed, outRegBufSend, outRegBufRecv);
}
CUDACHECKGOTO(cudaIpcGetMemHandle(&handles[localRank].ipc[0], (void*)info->sendbuff), result, fallback);
CUDACHECKGOTO(cudaIpcGetMemHandle(&handles[localRank].ipc[1], (void*)info->recvbuff), result, fallback);
if (regBufUsed) {
/* tweak NVLS channels usage; for registered NVLS buffer, we only need 4/5 channels to
* saturate bandwidth. */
if (info->coll == ncclFuncReduceScatter)
info->nChannels = std::min(5, comm->nvlsChannels);
else
info->nChannels = std::min(4, comm->nvlsChannels);
*outRegBufType = NCCL_NVLS_REG_BUFFER;
}
} else if (info->algorithm == NCCL_ALGO_COLLNET_DIRECT && // limited to CollNetDirect for now
comm->intraHighestTransportType == TRANSPORT_P2P && // only when all ranks can p2p each other
comm->intraRanks < comm->localRanks && // only with inter-process & intra-node peers
plan->persistent && 0) {
/* Disable CollnetDirect registration since it does not support cuMem* allocated memory. */
int localRank = comm->localRank;
cudaPointerAttributes sattr, rattr;
void *baseSend, *baseRecv;
size_t size;
CUCHECK(cuMemGetAddressRange((CUdeviceptr *)&baseSend, &size, (CUdeviceptr)info->sendbuff));
handles[localRank].offset[0] = (char*)info->sendbuff - (char*)baseSend;
CUCHECK(cuMemGetAddressRange((CUdeviceptr *)&baseRecv, &size, (CUdeviceptr)info->recvbuff));
handles[localRank].offset[1] = (char*)info->recvbuff - (char*)baseRecv;
CUDACHECK(cudaPointerGetAttributes(&sattr, info->sendbuff));
CUDACHECK(cudaPointerGetAttributes(&rattr, info->recvbuff));
if (sattr.type != cudaMemoryTypeDevice || rattr.type != cudaMemoryTypeDevice) return ncclSuccess;
NCCLCHECK(bootstrapIntraNodeAllGather(comm->bootstrap, comm->localRankToRank, comm->localRank, comm->localRanks, handles, sizeof(struct HandlePair)));
if (CUPFN(cuMemGetAddressRange) == nullptr) return ncclSuccess;
// Open handles locally
for (int i=0; i < comm->localRanks; i++) {
if (i == localRank) { // Skip self
outRegBufSend[i] = nullptr;
outRegBufRecv[i] = nullptr;
} else {
for (int sr=0; sr < 2; sr++) {
// Get base address of mapping
void* base;
CUDACHECK(cudaIpcOpenMemHandle(&base, handles[i].ipc[sr], cudaIpcMemLazyEnablePeerAccess));
// Get real buffer address by adding offset in the mapping
(sr==0 ? outRegBufSend : outRegBufRecv)[i] = (char*)base + handles[i].offset[sr];
// Enqueue reminder to close memory handle
struct ncclPointerList* q = ncclMemoryPoolAlloc<struct ncclPointerList>(&comm->memPool_ncclPointerList, &comm->memPermanent);
q->ptr = base;
ncclIntruQueueEnqueue(&plan->ipcMemQueue, q);
struct HandlePair {
cudaIpcMemHandle_t ipc[2]; // {send, recv}
size_t offset[2]; // {send, recv}
};
struct HandlePair handles[NCCL_MAX_LOCAL_RANKS];
CUDACHECKGOTO(cudaIpcGetMemHandle(&handles[localRank].ipc[0], (void*)info->sendbuff), result, fallback);
CUDACHECKGOTO(cudaIpcGetMemHandle(&handles[localRank].ipc[1], (void*)info->recvbuff), result, fallback);
void *baseSend, *baseRecv;
size_t size;
CUCHECK(cuMemGetAddressRange((CUdeviceptr *)&baseSend, &size, (CUdeviceptr)info->sendbuff));
handles[localRank].offset[0] = (char*)info->sendbuff - (char*)baseSend;
CUCHECK(cuMemGetAddressRange((CUdeviceptr *)&baseRecv, &size, (CUdeviceptr)info->recvbuff));
handles[localRank].offset[1] = (char*)info->recvbuff - (char*)baseRecv;
NCCLCHECK(bootstrapIntraNodeAllGather(comm->bootstrap, comm->localRankToRank, comm->localRank, comm->localRanks, handles, sizeof(struct HandlePair)));
// Open handles locally
for (int i=0; i < comm->localRanks; i++) {
if (i == localRank) { // Skip self
outRegBufSend[i] = nullptr;
outRegBufRecv[i] = nullptr;
} else {
for (int sr=0; sr < 2; sr++) {
// Get base address of mapping
void* base;
CUDACHECK(cudaIpcOpenMemHandle(&base, handles[i].ipc[sr], cudaIpcMemLazyEnablePeerAccess));
// Get real buffer address by adding offset in the mapping
(sr==0 ? outRegBufSend : outRegBufRecv)[i] = (char*)base + handles[i].offset[sr];
// Enqueue reminder to close memory handle
struct ncclPointerList* q = ncclMemoryPoolAlloc<struct ncclPointerList>(&comm->memPool_ncclPointerList, &comm->memPermanent);
q->ptr = base;
ncclIntruQueueEnqueue(&plan->ipcMemQueue, q);
}
}
}
*outRegBufType = NCCL_IPC_REG_BUFFER;
}
*outRegBufUsed = true;
fallback:
#endif
return result;
}
NCCL_PARAM(GraphRegister, "GRAPH_REGISTER", 0);
static ncclResult_t getCollNetSupport(struct ncclInfo* info, int* collNetTypeSupport);
static ncclResult_t getAlgoInfo(struct ncclInfo* info, int collNetTypeSupport, int numPipeOps);
static ncclResult_t getCollNetSupport(struct ncclInfo* info, int* collNetSupport);
static ncclResult_t getAlgoInfo(struct ncclInfo* info, int collNetSupport, int nvlsSupport, int numPipeOps);
static ncclResult_t scheduleCollTasksToPlan(
struct ncclComm* comm, struct ncclKernelPlan* plan, int* nWorkBudget
@@ -473,6 +537,7 @@ static ncclResult_t scheduleCollTasksToPlan(
int nAggChannels = 0;
int nAggOps = 1;
struct ncclTaskColl* aggEnd = head->next;
int nvlsSupport = comm->nvlsSupport && ncclNvlsSupported(aggInfo.opFull.op, aggInfo.datatype);
int collNetSupport = 0;
NCCLCHECK(getCollNetSupport(&aggInfo, &collNetSupport));
@@ -493,7 +558,7 @@ static ncclResult_t scheduleCollTasksToPlan(
NCCLCHECK(ncclInfoSetDerived(&aggInfo, comm->nRanks));
aggInfo.nChannels = std::min(comm->nChannels, nAggChannels);
int opPerChannel = DIVUP(nAggChannels, aggInfo.nChannels);
NCCLCHECK(getAlgoInfo(&aggInfo, collNetSupport, opPerChannel));
NCCLCHECK(getAlgoInfo(&aggInfo, collNetSupport, nvlsSupport, opPerChannel));
}
while (head != aggEnd) {
@@ -522,23 +587,26 @@ static ncclResult_t scheduleCollTasksToPlan(
int workFuncIndex;
struct ncclWorkElem workElem = {};
struct ncclProxyOp proxyOp = {};
NCCLCHECK(computeColl(&info, &workFuncIndex, &workElem, &proxyOp));
// Check whether algo and proto have been preset (as in aggregation case)
// If so, skip the calculation
if (info.nChannels <= 0 || info.nThreads <= 0) {
NCCLCHECK(getAlgoInfo(&info, collNetSupport, nvlsSupport, 1));
}
if (*nWorkBudget < info.nChannels) return ncclSuccess; // Ensure room for addCollToPlan()
bool regBufUsed = false;
/* if possible, start registration */
ncclRegBufferType regBufType = NCCL_REGULAR_BUFFER;
void* regBufSend[NCCL_MAX_LOCAL_RANKS];
void* regBufRecv[NCCL_MAX_LOCAL_RANKS];
if (plan->persistent && ncclParamGraphRegister() &&
info.algorithm == NCCL_ALGO_COLLNET_DIRECT && // limited to CollNetDirect for now
comm->intraHighestTransportType == TRANSPORT_P2P && // only when all ranks can p2p each other
comm->intraRanks < comm->localRanks) { // only with inter-process & intra-node peers
NCCLCHECK(registerIntraNodeBuffers(comm, plan, &info, &regBufUsed, regBufSend, regBufRecv));
}
registerIntraNodeBuffers(comm, plan, &info, regBufSend, regBufRecv, &regBufType);
NCCLCHECK(computeColl(&info, &workFuncIndex, &workElem, &proxyOp));
int maxChannels = info.algorithm == NCCL_ALGO_NVLS || aggInfo.algorithm == NCCL_ALGO_NVLS_TREE ? comm->nvlsChannels : comm->nChannels;
NCCLCHECK(addCollToPlan(comm, plan, nWorkBudget, workFuncIndex, &workElem, &proxyOp,
maxChannels, info.nChannels, info.nBytes, regBufUsed, regBufSend, regBufRecv));
maxChannels, info.nChannels, info.nBytes, regBufType, regBufSend, regBufRecv));
tasks->nTasksColl -= 1;
tasks->collBytesTotal -= info.nBytes;
ncclIntruQueueDequeue(&tasks->collQueue);
@@ -857,6 +925,13 @@ static ncclResult_t reclaimPlan(struct ncclComm* comm, struct ncclCommCallback*
CUDACHECKIGNORE(cudaIpcCloseMemHandle(q->ptr));
ncclMemoryPoolFree(&comm->memPool_ncclPointerList, q);
}
/* free mcHandle */
while (!ncclIntruQueueEmpty(&plan->nvlsMcHandleQueue)) {
struct ncclNvlsMcHandleList* obj = ncclIntruQueueDequeue(&plan->nvlsMcHandleQueue);
NCCLCHECK(ncclNvlsDeregBuffer(&obj->mcHandle, obj->ptr, obj->dev, obj->size));
INFO(NCCL_NVLS, "rank %d - deregistered buffer %p on device %d, size %ld", comm->rank, (void*)obj->ptr, obj->dev, obj->size);
ncclMemoryPoolFree(&comm->memPool_ncclNvlsHandleList, obj);
}
}
ncclMemoryPoolTakeAll(&comm->memPool_ncclProxyOp, &plan->memPool_ncclProxyOp);
ncclMemoryPoolFree(&comm->memPool_ncclKernelPlan, plan);
@@ -1118,45 +1193,64 @@ ncclResult_t ncclLaunchFinish(struct ncclComm* comm) {
/* Enqueueing system : computation of kernel and proxy operations parameters */
/*****************************************************************************/
static inline ncclResult_t getCollNetSupport(struct ncclInfo* info, int* collNetTypeSupport) {
static inline ncclResult_t getCollNetSupport(struct ncclInfo* info, int* collNetSupport) {
// Translate ncclAvg and PreMulSum
ncclRedOp_t netOp = info->op == ncclAvg || info->op >= ncclNumOps ? ncclSum : info->op;
*collNetTypeSupport = info->comm->collNetSupportMatrix[netOp][info->datatype];
*collNetSupport = info->comm->collNetSupport && info->comm->collNetSupportMatrix[netOp][info->datatype];
return ncclSuccess;
}
// numPipeOps: number of pipelined ops. Can be greater than 1 in aggregation mode. Used to adjust latency.
static ncclResult_t getAlgoInfo(struct ncclInfo* info, int collNetTypeSupport, int numPipeOps) {
static ncclResult_t topoGetAlgoInfo(struct ncclInfo* info, int collNetSupport, int nvlsSupport, int numPipeOps) {
struct ncclComm* comm = info->comm;
if (comm->nRanks == 1 || info->coll == ncclFuncAllToAllPivot) {
info->algorithm = NCCL_ALGO_RING;
info->protocol = NCCL_PROTO_SIMPLE;
}
else {
else if (info->algorithm == NCCL_ALGO_UNDEF || info->protocol == NCCL_PROTO_UNDEF) {
float minTime = 3600000000.0; // Hopefully no operation will take an hour to complete.
float backupMinTime = 3600000000.0;
bool backup = false;
int backupAlgo = NCCL_ALGO_UNDEF; // back up algo and proto if no algo/proto is picked up.
int backupProto = NCCL_PROTO_UNDEF;
// Find algorithm / protocol.
info->algorithm = -1;
info->protocol = -1;
int nAlgos = NCCL_NUM_ALGORITHMS;
for (int a=0; a<nAlgos; a++) {
if ((a == NCCL_ALGO_COLLNET_DIRECT || a == NCCL_ALGO_COLLNET_CHAIN) && collNetTypeSupport != 1) continue;
if (a == NCCL_ALGO_NVLS && !NCCL_NVLS_SUPPORTS(info->datatype, info->opFull.op)) continue;
if (a == NCCL_ALGO_NVLS && collNetTypeSupport != 1 && comm->nNodes > 1) continue;
if (a == NCCL_ALGO_NVLS_TREE && !NCCL_NVLS_SUPPORTS(info->datatype, info->opFull.op)) continue;
if ((a == NCCL_ALGO_COLLNET_DIRECT || a == NCCL_ALGO_COLLNET_CHAIN) && collNetSupport != 1) continue;
if (a == NCCL_ALGO_NVLS && nvlsSupport != 1 && info->coll != ncclFuncAllGather) continue;
if (a == NCCL_ALGO_NVLS && collNetSupport != 1 && comm->nNodes > 1) continue;
/* now we only support single-node NVLS allgather and reducescatter */
if (a == NCCL_ALGO_NVLS && (info->coll == ncclFuncAllGather || info->coll == ncclFuncReduceScatter) && comm->nNodes > 1) continue;
if (a == NCCL_ALGO_NVLS_TREE && nvlsSupport != 1) continue;
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
float time;
NCCLCHECK(ncclTopoGetAlgoTime(info, a, p, numPipeOps, &time));
if (time >= 0 && time < minTime) {
info->algorithm = a;
info->protocol = p;
minTime = time;
NCCLCHECK(ncclTopoGetAlgoTime(info, a, p, numPipeOps, &time, &backup));
if (!backup) {
if (time >= 0 && time < minTime) {
info->algorithm = a;
info->protocol = p;
minTime = time;
}
} else {
if (time >= 0 && time < backupMinTime) {
backupAlgo = a;
backupProto = p;
backupMinTime = time;
}
}
}
}
if (info->algorithm == -1 || info->protocol == -1) {
WARN("Error : no algorithm/protocol available");
return ncclInternalError;
if (info->algorithm == NCCL_ALGO_UNDEF || info->protocol == NCCL_PROTO_UNDEF) {
if (backupAlgo == NCCL_ALGO_UNDEF || backupProto == NCCL_PROTO_UNDEF) {
WARN("Error : no algorithm/protocol available");
return ncclInternalError;
}
info->algorithm = backupAlgo;
info->protocol = backupProto;
}
//if (comm->rank == 0) INFO(NCCL_TUNING, "%ld Bytes -> Algo %d proto %d time %f", info->nBytes, info->algorithm, info->protocol, minTime);
TRACE(NCCL_COLL, "%ld Bytes -> Algo %d proto %d time %f", info->nBytes, info->algorithm, info->protocol, minTime);
@@ -1235,6 +1329,25 @@ static ncclResult_t getAlgoInfo(struct ncclInfo* info, int collNetTypeSupport, i
return ncclSuccess;
}
// Use the default topo-based tuner if tuner plugin is not successful.
// Call the plugin first. Let it set algo+proto, and/or nChannels.
// Then, topoGetAlgoInfo will set algo/proto if not set, then nChannels and nThreads based on algo/proto.
// Finally, nChannels will be overriden by the plugin setting.
static ncclResult_t getAlgoInfo(struct ncclInfo* info, int collNetSupport, int nvlsSupport, int numPipeOps) {
info->algorithm = NCCL_ALGO_UNDEF;
info->protocol = NCCL_PROTO_UNDEF;
int nChannels = 0;
if (info->comm->tuner != NULL) {
NCCLCHECK(info->comm->tuner->getCollInfo(
info->coll, info->nBytes,
collNetSupport, nvlsSupport, numPipeOps,
&info->algorithm, &info->protocol, &nChannels));
}
NCCLCHECK(topoGetAlgoInfo(info, collNetSupport, nvlsSupport, numPipeOps));
if (nChannels) info->nChannels = nChannels; // Set by plugin; override default.
return ncclSuccess;
}
static ncclResult_t getPatternInfo(struct ncclInfo* info) {
switch (info->coll) {
case ncclFuncBroadcast:
@@ -1292,14 +1405,6 @@ static ncclResult_t getLoopInfo(struct ncclInfo* info) {
RCCL_PARAM(IntraNetThreshold, "INTRANET_THRESHOLD", 8388608);
static ncclResult_t computeColl(struct ncclInfo* info /* input */, int* workFuncIndex, struct ncclWorkElem* work, struct ncclProxyOp* proxyOp /* output */) {
int collNetTypeSupport = 0;
// Check whether algo and proto have been preset (as in aggregation case)
// If so, skip the calculation
if (info->nChannels > 0 && info->nThreads > 0) goto comp_next;
NCCLCHECK(getCollNetSupport(info, &collNetTypeSupport));
NCCLCHECK(getAlgoInfo(info, collNetTypeSupport, 1));
comp_next:
// Set nstepsPerLoop and nchunksPerLoop
NCCLCHECK(getPatternInfo(info));
NCCLCHECK(getLoopInfo(info));
@@ -1315,12 +1420,12 @@ comp_next:
if (info->comm->nRanks == 1) {
// one-rank reduce index
*workFuncIndex = ncclFuncId_P2p() + int(info->datatype);
*workFuncIndex = ncclDevFuncId_P2p() + int(info->datatype);
return ncclSuccess;
} else if (info->coll == ncclFuncAllToAllPivot) {
*workFuncIndex = ncclFuncId_AllToAllPivot();
*workFuncIndex = ncclDevFuncId_AllToAllPivot();
} else {
*workFuncIndex = ncclFuncId(info->coll, info->opFull.op, info->datatype, info->algorithm, info->protocol);
*workFuncIndex = ncclDevFuncId(info->coll, info->opFull.op, info->datatype, info->algorithm, info->protocol);
}
work->connIndex = 0;
@@ -1365,6 +1470,7 @@ comp_next:
work->lastChunkSize = chunkSize / ncclTypeSize(info->datatype);
} else if (info->algorithm == NCCL_ALGO_NVLS) {
int maxChunkSize = 131072;
if (info->comm->nNodes > 1 && info->comm->bandwidths[ncclFuncAllReduce][NCCL_ALGO_NVLS][NCCL_PROTO_SIMPLE] < 150) maxChunkSize = 32768;
if (chunkSize > maxChunkSize) chunkSize = maxChunkSize;
// Use uint64_t so that concurrentOps*chunkSize*X does not overflow
uint64_t concurrentOps = info->nChannels*info->comm->channels[0].nvls.nHeads;
@@ -1375,6 +1481,7 @@ comp_next:
} else if (info->algorithm == NCCL_ALGO_NVLS_TREE) {
// Use uint64_t so that concurrentOps*chunkSize*X does not overflow
uint64_t concurrentOps = info->nChannels*info->comm->channels[0].nvls.nHeads;
if (info->comm->nNodes >= 4) chunkSize = 65536;
if ((info->nBytes < (32 * (concurrentOps*chunkSize))) && (chunkSize > 262144)) chunkSize = 262144;
if ((info->nBytes < (16 * (concurrentOps*chunkSize))) && (chunkSize > 131072)) chunkSize = 131072;
if ((info->nBytes < (4 * (concurrentOps*chunkSize))) && (chunkSize > 65536)) chunkSize = 65536;
@@ -1409,7 +1516,7 @@ comp_next:
proxyOp->protocol = info->protocol;
proxyOp->dtype = info->datatype;
proxyOp->redOp = info->opFull.op==ncclDevPreMulSum || info->opFull.op==ncclDevSumPostDiv ? ncclSum : // Network sees avg as sum
info->op;
info->opFull.proxyOp;
proxyOp->pattern = info->pattern;
proxyOp->root = info->root;
// This is used by P2P to reduce the receive buffer size. We don't use it in collectives
@@ -1438,20 +1545,35 @@ static ncclResult_t hostToDevRedOp(
int64_t i64;
uint64_t u64;
half f16;
float f32;
double f64;
#if defined(RCCL_BFLOAT16)
rccl_bfloat16 bf16;
#endif
float f32;
double f64;
void *ptr;
};
u64 = 0;
opFull->scalarArgIsPtr = false;
opFull->proxyOp = op;
int nbits = 8*ncclTypeSize(datatype);
uint64_t allBits = uint64_t(-1)>>(64-nbits);
uint64_t signBit = allBits^(allBits>>1);
switch (int(op)) {
case ncclSum: opFull->op = ncclDevSum; break;
case ncclProd: opFull->op = ncclDevProd; break;
case ncclMax: opFull->op = ncclDevMax; break;
case ncclMin: opFull->op = ncclDevMin; break;
case ncclMin:
case ncclMax:
opFull->op = ncclDevMinMax;
opFull->scalarArg = 0;
// The xormask used by ncclFuncMinMax<[u]int> is the XOR of the sign bit
// for signed (opposed to unsigned) types and all the bits for max (opposed to min).
if (datatype==ncclInt8 || datatype==ncclInt32 || datatype==ncclInt64) {
opFull->scalarArg ^= signBit;
}
opFull->scalarArg ^= (op == ncclMax) ? allBits : 0;
break;
case ncclAvg:
switch ((int)datatype) {
case ncclInt8: case ncclInt32: case ncclInt64:
@@ -1553,12 +1675,8 @@ static ncclResult_t taskAppend(struct ncclComm* comm, struct ncclInfo const* inf
struct ncclDevRedOpFull opFull;
NCCLCHECK(hostToDevRedOp(&opFull, info->op, info->datatype, comm));
// User-defined reduction ops may need alter the data even for unitary reductions
if (comm->nRanks == 1 && opFull.op < ncclDevPreMulSum) {
if (info->sendbuff != info->recvbuff) {
size_t bytes = info->count*ncclTypeSize(info->datatype);
CUDACHECK(cudaMemcpyAsync(info->recvbuff, info->sendbuff, bytes, cudaMemcpyDeviceToDevice, info->stream));
}
if (comm->nRanks == 1) {
NCCLCHECK(ncclLaunchOneRank(info->recvbuff, info->sendbuff, info->count, opFull, info->datatype, info->stream));
return ncclSuccess;
} else {
// Must be in thread local group before tasks can be alloc'd in `comm->memScoped`.
projects/rccl/src/graph/connect.cc
+6 -1
Melihat File
@@ -538,13 +538,18 @@ ncclResult_t ncclTopoPostset(struct ncclComm* comm, int* firstRanks, int* treePa
treeToParent[c*nNodes+n] = allTopoRanks[r]->treeToParent[c];
treeToChild0[c*nNodes+n] = allTopoRanks[r]->treeToChild0[c];
treeToChild1[c*nNodes+n] = allTopoRanks[r]->treeToChild1[c];
nvlsHeads[c*nNodes+n] = allTopoRanks[r]->nvlsHeads[c];
}
for (int r=0; r<nranks; r++) {
ringPrev[c*nranks+r] = allTopoRanks[r]->ringPrev[c];
ringNext[c*nranks+r] = allTopoRanks[r]->ringNext[c];
}
}
for (int c=0; c<graphs[NCCL_ALGO_NVLS]->nChannels; c++) {
for (int n=0; n<nNodes; n++) {
int r = firstRanks[n];
nvlsHeads[c*nNodes+n] = allTopoRanks[r]->nvlsHeads[c];
}
}
// Connect rings and trees. This should also duplicate the channels.
NCCLCHECK(connectRings(comm, ringRecv, ringSend, ringPrev, ringNext));
projects/rccl/src/graph/paths.cc
+15 -13
Melihat File
@@ -72,7 +72,7 @@ static ncclResult_t ncclTopoSetPaths(struct ncclTopoNode* baseNode, struct ncclT
if ((remPath->bw == 0 || remPath->count > path->count) && remPath->bw < bw) {
// Find reverse link
for (int l=0; l<remNode->nlinks; l++) {
if (remNode->links[l].remNode == node) {
if (remNode->links[l].remNode == node && remNode->links[l].type == link->type) {
remPath->list[0] = remNode->links+l;
break;
}
@@ -131,7 +131,7 @@ static void printNodePaths(struct ncclTopoSystem* system, struct ncclTopoNode* n
for (int i=0; i<node->paths[t][n].count; i++) {
struct ncclTopoLink* link = node->paths[t][n].list[i];
struct ncclTopoNode* remNode = link->remNode;
sprintf(line+offset, "--%s->%s/%lX", topoLinkTypeStr[link->type], topoNodeTypeStr[remNode->type], remNode->id);
sprintf(line+offset, "--%s(%g)->%s/%lX", topoLinkTypeStr[link->type], link->bw, topoNodeTypeStr[remNode->type], remNode->id);
offset = strlen(line);
}
INFO(NCCL_GRAPH, "%s (%f)", line, node->paths[t][n].bw);
@@ -217,14 +217,14 @@ ncclResult_t ncclGetLevel(int* level, const char* disableEnv, const char* levelE
if (*level == -1) {
int l = -1;
if (disableEnv) {
char* str = getenv(disableEnv);
const char* str = ncclGetEnv(disableEnv);
if (str) {
int disable = strtol(str, NULL, 0);
if (disable == 1) l = 0;
}
}
if (l == -1) {
char* str = getenv(levelEnv);
const char* str = ncclGetEnv(levelEnv);
if (str) {
for (int i=0; i<=PATH_SYS; i++) {
if (strcmp(str, topoPathTypeStr[i]) == 0) {
@@ -325,14 +325,15 @@ compare:
status = ncclNvmlDevicePairs[indexes[i-1]][indexes[i-0]].p2pStatusWrite;
good &= status == NVML_P2P_STATUS_OK;
if (!good) {
if (ncclParamIgnoreDisabledP2p()) {
*p2p = 0;
} else if (path->type <= PATH_NVB) {
WARN("P2P is disabled between NVLINK connected GPUs %d and %d. This should not be the case given their connectivity, and is probably due to a hardware issue. If you still want to proceed, you can set NCCL_IGNORE_DISABLED_P2P=1.", indexes[i-1], indexes[i-0]);
return ncclUnhandledCudaError;
} else if (path->type < PATH_SYS) {
INFO(NCCL_INIT, "P2P is disabled between connected GPUs %d and %d. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.", indexes[i-1], indexes[i-0]);
if (!ncclParamIgnoreDisabledP2p()) {
if (path->type <= PATH_NVB) {
WARN("P2P is disabled between NVLINK connected GPUs %d and %d. This should not be the case given their connectivity, and is probably due to a hardware issue. If you still want to proceed, you can set NCCL_IGNORE_DISABLED_P2P=1.", indexes[i-1], indexes[i-0]);
return ncclUnhandledCudaError;
} else if (path->type < PATH_SYS) {
INFO(NCCL_INIT, "P2P is disabled between connected GPUs %d and %d. You can repress this message with NCCL_IGNORE_DISABLED_P2P=1.", indexes[i-1], indexes[i-0]);
}
}
*p2p = 0;
}
}
}
@@ -368,7 +369,8 @@ ncclResult_t ncclTopoCheckGdr(struct ncclTopoSystem* system, int64_t busId, int
if (read) { // For reads (sends) only enable under certain conditions
int gdrReadParam = ncclParamNetGdrRead();
if (gdrReadParam == 0) return ncclSuccess;
if (gdrReadParam < 0) {
// Disable GDR Reads pre-Ampere when we have other PCI flows
if (gdrReadParam < 0 && gpu->gpu.cudaCompCap < 80) {
int nvlink = 0;
// Since we don't know whether there are other communicators,
// it's better to keep things local if we have a single GPU.
@@ -426,7 +428,7 @@ ncclResult_t ncclTopoCheckGdr(struct ncclTopoSystem* system, int64_t busId, int
}
// Set to 0 to disable the flush on Hopper when using GDR
NCCL_PARAM(NetForceFlush, "NET_FORCE_FLUSH", 1);
NCCL_PARAM(NetForceFlush, "NET_FORCE_FLUSH", 0);
// Determine whether we need to flush the GDR recv buffers
ncclResult_t ncclTopoNeedFlush(struct ncclTopoSystem* system, int64_t busId, int* flush) {
projects/rccl/src/graph/search.cc
+126 -70
Melihat File
@@ -52,10 +52,10 @@ ncclResult_t ncclTopoSearchInit(struct ncclTopoSystem* system) {
return ncclSuccess;
}
static ncclResult_t findRevLink(struct ncclTopoNode* node1, struct ncclTopoNode* node2, struct ncclTopoLink** revLink) {
static ncclResult_t findRevLink(struct ncclTopoNode* node1, struct ncclTopoNode* node2, int type, struct ncclTopoLink** revLink) {
for (int l=0; l<node2->nlinks; l++) {
struct ncclTopoLink* link = node2->links+l;
if (link->remNode == node1) {
if (link->remNode == node1 && link->type == type) {
*revLink = link;
return ncclSuccess;
}
@@ -88,11 +88,11 @@ static ncclResult_t followPath(struct ncclTopoLinkList* path, struct ncclTopoNod
float fwBw = link->type == LINK_PCI ? pciBw : bw;
float revBw = 0;
if (link->remNode->type == GPU && link->remNode->gpu.cudaCompCap < 80 && start->type != GPU) {
if (revLink == NULL) NCCLCHECK(findRevLink(node, link->remNode, &revLink));
if (revLink == NULL) NCCLCHECK(findRevLink(node, link->remNode, link->type, &revLink));
revBw += fwBw/8;
}
if (link->remNode->type == CPU && link->type == LINK_NVL) {
if (revLink == NULL) NCCLCHECK(findRevLink(node, link->remNode, &revLink));
if (link->remNode->type == CPU && link->remNode->cpu.arch == NCCL_TOPO_CPU_ARCH_POWER && link->type == LINK_NVL) {
if (revLink == NULL) NCCLCHECK(findRevLink(node, link->remNode, link->type, &revLink));
revBw += fwBw;
}
if (link->bw < fwBw || (revBw && revLink->bw < revBw)) { *steps = step; return ncclSuccess; }
@@ -263,6 +263,32 @@ ncclResult_t ncclTopoSearchNextGpuSort(struct ncclTopoSystem* system, struct ncc
} else {
for (int i=0; i<count; i++) next[i] = scores[i].g;
}
if (system->nodes[NVS].count) {
// NVSwitches prefer when we talk to a limited set of peers. Try to use neighbors first.
int index = gpu-system->nodes[GPU].nodes;
int i;
int prevGpu = (index-1+ngpus)%ngpus;
int nextGpu = (index+1)%ngpus;
int firstGpus[2];
int firstGpuCount = 0;
if (graph->pattern == NCCL_TOPO_PATTERN_RING) {
firstGpus[0] = nextGpu; firstGpus[1] = prevGpu; firstGpuCount = 2;
} else if (graph->pattern == NCCL_TOPO_PATTERN_SPLIT_TREE ||
graph->pattern == NCCL_TOPO_PATTERN_BALANCED_TREE) {
firstGpus[0] = prevGpu; firstGpus[1] = nextGpu; firstGpuCount = 2;
} else {
firstGpus[0] = nextGpu; firstGpuCount = 1;
}
for (int g=0; g<firstGpuCount; g++) {
for (i=0; i<count && next[i] != firstGpus[g]; i++);
if (i<count) {
for (; i>0; i--) next[i] = next[i-1];
next[0] = firstGpus[g];
}
}
}
*countPtr = count;
return ncclSuccess;
}
@@ -270,7 +296,7 @@ ncclResult_t ncclTopoSearchNextGpuSort(struct ncclTopoSystem* system, struct ncc
ncclResult_t ncclTopoSearchRec(struct ncclTopoSystem* system, struct ncclTopoGraph* graph, struct ncclTopoGraph* saveGraph, int* time);
// Try to keep all searchs within one second
#define NCCL_SEARCH_GLOBAL_TIMEOUT (5ULL<<16)
#define NCCL_SEARCH_GLOBAL_TIMEOUT (1ULL<<19)
#define NCCL_SEARCH_TIMEOUT (1<<14)
#define NCCL_SEARCH_TIMEOUT_TREE (1<<14)
#define NCCL_SEARCH_TIMEOUT_SAMECHANNELS (1<<8)
@@ -374,6 +400,7 @@ ncclResult_t ncclTopoCompareGraphs(struct ncclTopoSystem* system, struct ncclTop
if (graph->pattern == NCCL_TOPO_PATTERN_NVLS) { // NVLS channels correspond to GPUs pulling from NVLS. So the more the better.
if (graph->nChannels > refGraph->nChannels && graph->nChannels <= system->nodes[GPU].count) *copy = 1;
if (graph->nChannels*graph->bwInter > refGraph->nChannels*refGraph->bwInter) *copy = 1;
return ncclSuccess;
}
// 2. Try to get better bandwidth
@@ -394,24 +421,43 @@ ncclResult_t ncclTopoCompareGraphs(struct ncclTopoSystem* system, struct ncclTop
return ncclSuccess;
}
// Build a list of the best NETs to try.
// Build a sorted list of the NETs to try.
//
// "gpu" can be set to -1 to build a list suitable for all GPUs (search start) or to a given gpu
// index when trying to get back to the NIC.
//
// The list is built the following way:
// 1. Select NETs starting with those close to GPU(s), based on paths[n].type.
// 2. For each GPU, once that list of NICs with a given distance is prepared, shuffle the list
// based on the GPU NVML index so that e.g. GPU 1 chooses NIC 1 first instead of NIC 0 which
// might have been choosen by GPU 0 (case with multiple independent communicators per node)
// 3. Then add the NETs to the final list if they were not already added by another closer GPU.
// 2. add other NETs satisfying typeInter but not already in the list.
ncclResult_t ncclTopoSelectNets(struct ncclTopoSystem* system, int typeInter, int gpu, int* nets, int* netCountRet) {
int netCount = 0;
int localNetCount;
int* localNets;
NCCLCHECK(ncclCalloc(&localNets, system->nodes[NET].count));
NCCLCHECK(ncclCalloc(&localNets, MAXCHANNELS));
// First add the preferred NICs
for (int g=0; g<system->nodes[GPU].count; g++) {
if (gpu != -1 && gpu != g) continue;
localNetCount = 0;
struct ncclTopoNode* gpu = system->nodes[GPU].nodes+g;
for (int c = 0; c<MAXCHANNELS; c++) {
int netId;
NCCLCHECK(ncclTopoGetLocalNet(system, gpu->gpu.rank, c, &netId));
NCCLCHECK(ncclTopoIdToIndex(system, NET, netId, localNets+localNetCount));
if (localNetCount > 0 && localNets[localNetCount] == localNets[0]) break;
localNetCount++;
}
// Append NICs to list
for (int i=0; i<localNetCount; i++) {
int n = localNets[i];
int found = 0;
while (nets[found] != n && found<netCount) found++;
if (found == netCount) nets[netCount++] = n;
}
}
// Then add others satisfying typeInter
for (int t=0; t <= typeInter; t++) {
for (int g=0; g<system->nodes[GPU].count; g++) {
if (gpu != -1 && gpu != g) continue;
@@ -473,11 +519,11 @@ ncclResult_t ncclTopoSearchRecGpu(struct ncclTopoSystem* system, struct ncclTopo
int startNetIndex;
NCCLCHECK(getNetIndex(system, graph->inter[graph->nChannels*2], &startNetIndex));
struct ncclTopoNode* startNet = system->nodes[NET].nodes+startNetIndex;
int netcount;
int netCount;
int* nets;
NCCLCHECK(ncclCalloc(&nets, system->nodes[NET].count));
NCCLCHECK(ncclTopoSelectNets(system, graph->typeInter, g, nets, &netcount));
for (int i=0; i<netcount; i++) {
NCCLCHECK(ncclTopoSelectNets(system, graph->typeInter, g, nets, &netCount));
for (int i=0; i<netCount; i++) {
int n = nets[i];
struct ncclTopoNode* net = system->nodes[NET].nodes+n;
if (graph->pattern == NCCL_TOPO_PATTERN_TREE && net->id != startNet->id) continue; // Trees are symmetric
@@ -545,12 +591,12 @@ ncclResult_t ncclTopoSearchRecNet(struct ncclTopoSystem* system, struct ncclTopo
const int bw = graph->bwInter;
int* nets;
NCCLCHECK(ncclCalloc(&nets, system->nodes[NET].count));
int netcount;
NCCLCHECK(ncclTopoSelectNets(system, graph->typeInter, -1, nets, &netcount));
for (int i=0; i<netcount; i++) {
int n = nets[i];
int netCount;
NCCLCHECK(ncclTopoSelectNets(system, graph->typeInter, -1, nets, &netCount));
for (int i=0; i<netCount; i++) {
if (graph->pattern == NCCL_TOPO_PATTERN_NVLS && i>0) continue;
int n = nets[(graph->nChannels+i)%netCount];
struct ncclTopoNode* net = system->nodes[NET].nodes+n;
struct ncclTopoNode* gpu;
if (graph->collNet && net->net.collSupport == 0) continue;
if (net->net.bw < bw) continue;
@@ -564,12 +610,12 @@ ncclResult_t ncclTopoSearchRecNet(struct ncclTopoSystem* system, struct ncclTopo
}
}
// NVLS needs to balance on all NICs
if (graph->pattern == NCCL_TOPO_PATTERN_NVLS) {
if (graph->nChannels < netcount) {
// NVLS search only tries to find NIC:GPU combinations to compute the heads.
if (graph->nChannels < netCount) {
int gpu;
NCCLCHECK(ncclTopoGetLocalGpu(system, nets[graph->nChannels], &gpu));
if (gpu != -1) NCCLCHECK(ncclTopoSearchTryGpu(system, graph, saveGraph, 0, backToNet, backToFirstRank, 0, time, -1, -1, gpu));
NCCLCHECK(ncclTopoGetLocalGpu(system, net->id, &gpu));
if (gpu != -1) NCCLCHECK(ncclTopoSearchTryGpu(system, graph, saveGraph, 0, backToNet, backToFirstRank, 0, time, NET, n, gpu));
}
} else {
if (graph->nChannels > 0) {
@@ -579,7 +625,7 @@ ncclResult_t ncclTopoSearchRecNet(struct ncclTopoSystem* system, struct ncclTopo
NCCLCHECK(ncclTopoSearchTryGpu(system, graph, saveGraph, 0, backToNet, backToFirstRank, FORCED_ORDER_REPLAY, time, NET, n, g));
}
if (graph->nChannels == 0 || graph->sameChannels == 0) {
if (graph->nChannels == 0) {
if (graph->nChannels == 0 && system->nodes[NVS].count == 0) {
// Always try the PCI order first to set a reference, but don't count in the timeout nor let it run for long
struct ncclTopoLinkList* paths = net->paths[GPU];
int f = 0, f_gdr = 0;
@@ -613,18 +659,10 @@ ncclResult_t ncclTopoSearchRecNet(struct ncclTopoSystem* system, struct ncclTopo
}
}
if (maxBw >= bw) {
// In the first loop, avoid using GPUs in both directions between channels (one channel
// sending from that GPU and one channel receiving to that GPU), since that usually leads
// to lower BW.
for (int tryGpuBidir=0; tryGpuBidir<2; tryGpuBidir++) {
for (int g=0; g<system->nodes[GPU].count; g++) {
if (paths[g].bw == maxBw && paths[g].count == minHops) {
gpu = system->nodes[GPU].nodes+g;
int gpuUsed = gpuPciBw(gpu) > 0 ? 0 : 1;
if (tryGpuBidir == gpuUsed) {
NCCLCHECK(ncclTopoSearchTryGpu(system, graph, saveGraph, 0, backToNet, backToFirstRank, 0, time, NET, n, g));
}
}
for (int i=0; i<system->nodes[GPU].count; i++) {
int g = (graph->nChannels+i)%system->nodes[GPU].count;
if (paths[g].bw == maxBw && paths[g].count == minHops) {
NCCLCHECK(ncclTopoSearchTryGpu(system, graph, saveGraph, 0, backToNet, backToFirstRank, 0, time, NET, n, g));
}
}
}
@@ -840,6 +878,21 @@ ncclResult_t ncclTopoGetXmlFromGraphs(int ngraphs, struct ncclTopoGraph** graphs
return ncclSuccess;
}
ncclResult_t ncclTopoDupChannels(struct ncclTopoGraph* graph, int ccMin, int ngpus) {
if (graph->nChannels == 0) return ncclSuccess;
if (graph->pattern == NCCL_TOPO_PATTERN_NVLS) return ncclSuccess;
if (graph->bwIntra < 25.0) return ncclSuccess;
if (ccMin > 80 && graph->bwIntra < 50.0 && graph->nChannels > 4) return ncclSuccess;
int dupChannels = std::min(graph->nChannels*2, graph->maxChannels);
memcpy(graph->intra+graph->nChannels*ngpus, graph->intra, (dupChannels-graph->nChannels)*ngpus*sizeof(int));
memcpy(graph->inter+graph->nChannels*2,graph->inter, (dupChannels-graph->nChannels)*2*sizeof(int));
graph->bwIntra /= DIVUP(dupChannels, graph->nChannels);
graph->bwInter /= DIVUP(dupChannels, graph->nChannels);
graph->nChannels = dupChannels;
return ncclSuccess;
}
#if defined(__HIP_PLATFORM_HCC__) || defined(__HCC__) || defined(__HIPCC__)
float speedArrayIntra[] = { 48.0, 24.0, 20.0, 18.0, 15.0, 12.0, 10.0, 9.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.4, 1.2, 0.24, 0.12 };
float speedArrayInter[] = { 48.0, 24.0, 20.0, 18.0, 15.0, 12.0, 10.0, 9.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.4, 1.2, 0.24, 0.12 };
@@ -851,8 +904,8 @@ float speedArrayInter[] = { 48.0, 30.0, 28.0, 24.0, 20.0, 18.0, 15.0, 12.0, 10.0
#define NSPEEDSINTRA (sizeof(speedArrayIntra)/sizeof(float))
#define NSPEEDSINTER (sizeof(speedArrayInter)/sizeof(float))
float sm90SpeedArrayIntra[] = { 60.0, 40.0, 30.0, 24.0, 20.0, 15.0, 12.0, 6.0, 3.0 };
float sm90SpeedArrayInter[] = { 48.0, 45.0, 42.0, 40.0, 30.0, 24.0, 20.0, 17.5, 15.0, 12.0, 6.0, 3.0, 2.4, 1.2, 0.24, 0.12 };
float sm90SpeedArrayIntra[] = { 60.0, 50.0, 40.0, 30.0, 24.0, 20.0, 15.0, 12.0, 6.0, 3.0 };
float sm90SpeedArrayInter[] = { 48.0, 45.0, 42.0, 40.0, 30.0, 24.0, 22.0, 20.0, 17.5, 15.0, 12.0, 6.0, 3.0, 2.4, 1.2, 0.24, 0.12 };
#define NSPEEDSINTRA_SM90 (sizeof(sm90SpeedArrayIntra)/sizeof(float))
#define NSPEEDSINTER_SM90 (sizeof(sm90SpeedArrayInter)/sizeof(float))
#endif
@@ -861,14 +914,13 @@ RCCL_PARAM(ModelMatchingDisable, "MODEL_MATCHING_DISABLE", 0);
ncclResult_t ncclTopoCompute(ncclTopoSystem* system, struct ncclTopoGraph* graph) {
int ngpus = system->nodes[GPU].count;
graph->crossNic = ncclParamCrossNic();
int crossNic = (system->nodes[NET].count > 1) && graph->crossNic &&
int crossNic = (system->nodes[NET].count > 1) &&
(graph->pattern == NCCL_TOPO_PATTERN_RING ||
graph->pattern == NCCL_TOPO_PATTERN_BALANCED_TREE ||
graph->pattern == NCCL_TOPO_PATTERN_SPLIT_TREE) ? 1 : 0;
graph->pattern == NCCL_TOPO_PATTERN_BALANCED_TREE ||
graph->pattern == NCCL_TOPO_PATTERN_SPLIT_TREE) ? ncclParamCrossNic() : 0;
graph->crossNic = crossNic == 1 ? 1 : 0;
graph->bwIntra = graph->bwInter = 0;
graph->latencyInter = 0;
if (graph->crossNic == 2) graph->crossNic = 0;
graph->typeIntra = ngpus == 1 ? PATH_LOC : PATH_NVL;
graph->typeInter = PATH_PIX;
graph->nChannels = 0;
@@ -877,7 +929,10 @@ ncclResult_t ncclTopoCompute(ncclTopoSystem* system, struct ncclTopoGraph* graph
int trySameChannels = graph->pattern == NCCL_TOPO_PATTERN_NVLS ? 0 : 1;
graph->sameChannels = trySameChannels;
char* str = getenv("NCCL_GRAPH_FILE");
int cpuArch, cpuVendor, cpuModel;
NCCLCHECK(ncclTopoCpuType(system, &cpuArch, &cpuVendor, &cpuModel));
const char* str = ncclGetEnv("NCCL_GRAPH_FILE");
if (str) {
INFO(NCCL_ENV, "NCCL_GRAPH_FILE set by environment to %s", str);
struct ncclXml* xml;
@@ -930,6 +985,8 @@ ncclResult_t ncclTopoCompute(ncclTopoSystem* system, struct ncclTopoGraph* graph
int ccMin;
NCCLCHECK(ncclTopoGetCompCap(system, &ccMin, NULL));
if (graph->pattern == NCCL_TOPO_PATTERN_NVLS && (system->nodes[NVS].count == 0 || ccMin < 90)) return ncclSuccess;
// NVLS search must have ngpus heads at most.
if (graph->pattern == NCCL_TOPO_PATTERN_NVLS) graph->maxChannels = system->nodes[GPU].count;
if (ngpus == 1) if (graph->pattern != NCCL_TOPO_PATTERN_RING) graph->pattern = NCCL_TOPO_PATTERN_TREE;
@@ -968,7 +1025,7 @@ search:
NCCLCHECK(ncclTopoSearchRec(system, &tmpGraph, graph, &time));
#if 0
printf("Pattern %d, crossNic %d, Bw %g/%g, type %d/%d, channels %d-%d sameChannels %d -> nChannels %dx%g/%g %s\n", tmpGraph.pattern, tmpGraph.crossNic, tmpGraph.bwInter, tmpGraph.bwIntra, tmpGraph.typeInter, tmpGraph.typeIntra, tmpGraph.minChannels, tmpGraph.maxChannels, tmpGraph.sameChannels, graph->nChannels, graph->bwInter, graph->bwIntra, time == 0 ? "TIMEOUT" : time == -1 ? "PERFECT" : "");
printf("Id %d Pattern %d, crossNic %d, Bw %g/%g, type %d/%d, channels %d-%d sameChannels %d -> nChannels %dx%g/%g %s\n", tmpGraph.id, tmpGraph.pattern, tmpGraph.crossNic, tmpGraph.bwInter, tmpGraph.bwIntra, tmpGraph.typeInter, tmpGraph.typeIntra, tmpGraph.minChannels, tmpGraph.maxChannels, tmpGraph.sameChannels, graph->nChannels, graph->bwInter, graph->bwIntra, time == 0 ? "TIMEOUT" : time == -1 ? "PERFECT" : "");
for (int c=0; c<graph->nChannels; c++) {
printf("%2d : ", c);
for (int g=0; g<ngpus; g++) {
@@ -985,8 +1042,9 @@ search:
if (pass == 1) {
// First pass, we don't have a solution yet ; try other options
// Try having different channels
if (tmpGraph.sameChannels == 1) {
// Try having different channels (except when going through AMD CPUs)
if (tmpGraph.sameChannels == 1 &&
!(cpuArch == NCCL_TOPO_CPU_ARCH_X86 && cpuVendor == NCCL_TOPO_CPU_VENDOR_AMD && tmpGraph.typeIntra == PATH_SYS)) {
tmpGraph.sameChannels = 0;
goto search;
}
@@ -1016,12 +1074,12 @@ search:
}
tmpGraph.typeInter = PATH_PIX;
if (crossNic && tmpGraph.crossNic == 0) {
if (crossNic == 2 && tmpGraph.crossNic == 0) {
// Try again with crossNic if permitted
tmpGraph.crossNic = crossNic;
tmpGraph.crossNic = 1;
goto search;
}
tmpGraph.crossNic = 0;
tmpGraph.crossNic = crossNic == 1 ? 1 : 0;
// Decrease bw until we find a solution
if ((speedIndex < nspeeds-1) && (graph->nChannels == 0 || (speedArray[speedIndex+1]/graph->bwInter > .49))) {
@@ -1038,6 +1096,7 @@ done:
// We have a solution. Start from that solution and move to pass 2.
if (pass == 1) {
time = -1;
NCCLCHECK(ncclTopoDupChannels(graph, ccMin, ngpus));
memcpy(&tmpGraph, graph, sizeof(tmpGraph));
speedIndex = 0;
while (speedArray[speedIndex] > graph->bwInter && speedIndex < nspeeds-1) speedIndex++;
@@ -1046,13 +1105,22 @@ done:
pass = 2;
}
// 3. See if we can increase bwIntra for trees (2 nodes or collnet)
if (pass == 2) {
if (time != 0 && graph->pattern != NCCL_TOPO_PATTERN_RING &&
tmpGraph.bwIntra == graph->bwIntra && tmpGraph.bwIntra < tmpGraph.bwInter*2 &&
speedIndex > 0) {
tmpGraph.bwIntra = speedArray[--speedIndex];
goto search;
// See if we can increase bw
if (time != 0 && speedIndex > 0) {
if (graph->pattern == NCCL_TOPO_PATTERN_RING) {
// increase bw for Ring
tmpGraph.bwIntra = tmpGraph.bwInter = speedArray[--speedIndex];
goto search;
} else if (graph->pattern == NCCL_TOPO_PATTERN_NVLS && tmpGraph.bwInter == graph->bwInter && tmpGraph.bwInter < tmpGraph.bwIntra*2) {
tmpGraph.minChannels = tmpGraph.maxChannels = graph->nChannels;
tmpGraph.bwInter = speedArray[--speedIndex];
goto search;
} else if (tmpGraph.bwIntra == graph->bwIntra && tmpGraph.bwIntra < tmpGraph.bwInter*2) {
// increase bwIntra for trees (2 nodes or collnet)
tmpGraph.bwIntra = speedArray[--speedIndex];
goto search;
}
}
time = -1;
memcpy(&tmpGraph, graph, sizeof(tmpGraph));
@@ -1066,18 +1134,6 @@ done:
graph->typeIntra = graph->typeInter = PATH_SYS;
graph->nChannels = 1;
}
if (graph->nChannels == 0) return ncclSuccess;
if (graph->pattern == NCCL_TOPO_PATTERN_NVLS) return ncclSuccess;
if (graph->bwIntra < 25.0) return ncclSuccess;
if (ccMin > 80 && graph->bwIntra < 50.0 && graph->nChannels > 4) return ncclSuccess;
int dupChannels = std::min(graph->nChannels*2, graph->maxChannels);
memcpy(graph->intra+graph->nChannels*ngpus, graph->intra, (dupChannels-graph->nChannels)*ngpus*sizeof(int));
memcpy(graph->inter+graph->nChannels*2,graph->inter, (dupChannels-graph->nChannels)*2*sizeof(int));
graph->bwIntra /= DIVUP(dupChannels, graph->nChannels);
graph->bwInter /= DIVUP(dupChannels, graph->nChannels);
graph->nChannels = dupChannels;
return ncclSuccess;
}
@@ -1117,7 +1173,7 @@ ncclResult_t ncclTopoPrintGraph(struct ncclTopoSystem* system, struct ncclTopoGr
}
ncclResult_t ncclTopoDumpGraphs(struct ncclTopoSystem* system, int ngraphs, struct ncclTopoGraph** graphs) {
char* str = getenv("NCCL_GRAPH_DUMP_FILE");
const char* str = ncclGetEnv("NCCL_GRAPH_DUMP_FILE");
if (str) {
INFO(NCCL_ENV, "NCCL_GRAPH_DUMP_FILE set by environment to %s", str);
struct ncclXml* xml;
projects/rccl/src/graph/topo.cc
+36 -13
Melihat File
@@ -78,6 +78,9 @@ static ncclResult_t ncclTopoGetInterCpuBw(struct ncclTopoNode* cpu, float* bw) {
if (cpu->cpu.arch == NCCL_TOPO_CPU_ARCH_X86 && cpu->cpu.vendor == NCCL_TOPO_CPU_VENDOR_INTEL) {
*bw = cpu->cpu.model == NCCL_TOPO_CPU_TYPE_SKL ? SKL_QPI_BW : QPI_BW;
}
if (cpu->cpu.arch == NCCL_TOPO_CPU_ARCH_X86 && cpu->cpu.vendor == NCCL_TOPO_CPU_VENDOR_AMD) {
*bw = AMD_BW;
}
if (cpu->cpu.arch == NCCL_TOPO_CPU_ARCH_X86 && cpu->cpu.vendor == NCCL_TOPO_CPU_VENDOR_ZHAOXIN) {
*bw = cpu->cpu.model == NCCL_TOPO_CPU_TYPE_YONGFENG ? YONGFENG_ZPI_BW : ZPI_BW;
}
@@ -615,6 +618,36 @@ ncclResult_t ncclTopoAddNvLinks(struct ncclXmlNode* node, struct ncclTopoSystem*
}
#endif
ncclResult_t ncclTopoAddC2c(struct ncclXmlNode* node, struct ncclTopoSystem* system, const char* parentBusId) {
if (strcmp(node->name, "c2c") == 0) {
struct ncclTopoNode* gpu = NULL;
int64_t pBusId;
NCCLCHECK(busIdToInt64(parentBusId, &pBusId));
NCCLCHECK(ncclTopoGetNode(system, &gpu, GPU, pBusId));
if (gpu == NULL) {
WARN("Add NVLink error : could not find GPU %lx", pBusId);
return ncclInternalError;
}
int count = 0;
NCCLCHECK(xmlGetAttrInt(node, "count", &count));
int bw = 0;
NCCLCHECK(xmlGetAttrInt(node, "bw", &bw));
double c2cBw = (bw*count)/1000.0;
struct ncclTopoNode* cpu = NULL;
NCCLCHECK(findLocalCpu(gpu, &cpu));
if (cpu == NULL) return ncclSuccess;
NCCLCHECK(ncclTopoConnectNodes(gpu, cpu, LINK_NVL, c2cBw));
NCCLCHECK(ncclTopoConnectNodes(cpu, gpu, LINK_NVL, c2cBw));
} else {
const char* busId;
NCCLCHECK(xmlGetAttr(node, "busid", &busId));
for (int s=0; s<node->nSubs; s++) {
NCCLCHECK(ncclTopoAddC2c(node->subs[s], system, busId ? busId : parentBusId));
}
}
return ncclSuccess;
}
ncclResult_t ncclTopoGetSystemFromXml(struct ncclXml* xml, struct ncclTopoSystem** topoSystem) {
NCCLCHECK(ncclCalloc(topoSystem, 1));
struct ncclXmlNode* topNode;
@@ -628,6 +661,7 @@ ncclResult_t ncclTopoGetSystemFromXml(struct ncclXml* xml, struct ncclTopoSystem
#else
NCCLCHECK(ncclTopoAddNvLinks(topNode, *topoSystem, NULL));
#endif
NCCLCHECK(ncclTopoAddC2c(topNode, *topoSystem, NULL));
NCCLCHECK(ncclTopoFlattenBcmSwitches(*topoSystem));
NCCLCHECK(ncclTopoConnectCpus(*topoSystem));
@@ -674,7 +708,7 @@ static ncclResult_t xmlInitAttrFloat(struct ncclXmlNode* node, const char* attrN
ncclResult_t ncclTopoGetSystem(struct ncclComm* comm, struct ncclTopoSystem** system) {
struct ncclXml* xml;
NCCLCHECK(ncclCalloc(&xml, 1));
char* xmlTopoFile = getenv("NCCL_TOPO_FILE");
const char* xmlTopoFile = ncclGetEnv("NCCL_TOPO_FILE");
if (xmlTopoFile) {
INFO(NCCL_ENV, "NCCL_TOPO_FILE set by environment to %s", xmlTopoFile);
NCCLCHECK(ncclTopoGetXmlFromFile(xmlTopoFile, xml, 1));
@@ -747,7 +781,7 @@ ncclResult_t ncclTopoGetSystem(struct ncclComm* comm, struct ncclTopoSystem** sy
// Remove XML branches which don't have a node with keep="1" (typically when importing a topology)
NCCLCHECK(ncclTopoTrimXml(xml));
xmlTopoFile = getenv("NCCL_TOPO_DUMP_FILE");
xmlTopoFile = ncclGetEnv("NCCL_TOPO_DUMP_FILE");
if (xmlTopoFile && comm->rank == ncclParamTopoDumpFileRank()) {
INFO(NCCL_ENV, "NCCL_TOPO_DUMP_FILE set by environment to %s", xmlTopoFile);
NCCLCHECK(ncclTopoDumpXmlToFile(xmlTopoFile, xml));
@@ -984,14 +1018,3 @@ ncclResult_t ncclTopoGetCompCap(struct ncclTopoSystem* system, int* ccMin, int*
if (ccMax) *ccMax = max;
return ncclSuccess;
}
ncclResult_t ncclTopoGetLocalRank(struct ncclTopoSystem* system, int rank, int* localRank) {
for (int g=0; g<system->nodes[GPU].count; g++) {
if (system->nodes[GPU].nodes[g].gpu.rank == rank) {
*localRank = g;
return ncclSuccess;
}
}
WARN("Could not find local GPU with rank %d", rank);
return ncclInternalError;
}
projects/rccl/src/graph/topo.h
+1
Melihat File
@@ -21,6 +21,7 @@
#define SM86_NVLINK_BW 12.0
#define PCI_BW 12.0 // PCI Gen3 x16
#define QPI_BW 6.0
#define AMD_BW 16.0
#define SKL_QPI_BW 10.0
#define ZPI_BW 6.0
#define YONGFENG_ZPI_BW 9.0
projects/rccl/src/graph/tuning.cc
+50 -13
Melihat File
@@ -6,7 +6,7 @@
************************************************************************/
#include "core.h"
#include "devcomm.h"
#include "device.h"
#include "comm.h"
#include "topo.h"
@@ -358,8 +358,8 @@ ncclResult_t ncclTopoTuneModel(struct ncclComm* comm, int minCompCap, int maxCom
for (int a=0; a<NCCL_NUM_ALGORITHMS; a++) {
if (coll == ncclFuncBroadcast && a != NCCL_ALGO_RING) continue;
if (coll == ncclFuncReduce && a != NCCL_ALGO_RING) continue;
if (coll == ncclFuncReduceScatter && a != NCCL_ALGO_RING) continue;
if (coll == ncclFuncAllGather && a != NCCL_ALGO_RING) continue;
if (coll == ncclFuncReduceScatter && a != NCCL_ALGO_RING && a != NCCL_ALGO_NVLS) continue;
if (coll == ncclFuncAllGather && a != NCCL_ALGO_RING && a != NCCL_ALGO_NVLS) continue;
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
if ((a == NCCL_ALGO_NVLS || a == NCCL_ALGO_NVLS_TREE) && p != NCCL_PROTO_SIMPLE) continue;
@@ -368,6 +368,9 @@ ncclResult_t ncclTopoTuneModel(struct ncclComm* comm, int minCompCap, int maxCom
float busBw = comm->topo->baseBw != 0.0 ? comm->topo->baseBw : graphs[a]->nChannels * bw;
//INFO(NCCL_INIT, "algo %s proto %s busBw %f baseBw %f bw %f nChannels %d bwIntra %f bwInter %f", ncclAlgoStr[a], ncclProtoStr[p], busBw, comm->topo->baseBw, bw, graphs[a]->nChannels, graphs[a]->bwIntra, graphs[a]->bwInter);
if (a == NCCL_ALGO_NVLS) bw = std::min(graphs[a]->bwIntra, graphs[a]->bwInter);
if (a == NCCL_ALGO_NVLS_TREE) bw = std::min(graphs[a]->bwIntra, nNodes <= 2 ? graphs[a]->bwInter : graphs[a]->bwInter/2);
// Various model refinements
#if defined(__HIP_PLATFORM_HCC__) || defined(__HCC__) || defined(__HIPCC__)
if (nNodes <= 2)
@@ -395,10 +398,12 @@ ncclResult_t ncclTopoTuneModel(struct ncclComm* comm, int minCompCap, int maxCom
// Convert bus BW to algorithm BW
float ratio;
if (a == NCCL_ALGO_RING) ratio = (1.0 * nRanks) / nsteps;
else if (a == NCCL_ALGO_NVLS) ratio = 5.0/6.0;
else if (a == NCCL_ALGO_NVLS_TREE) ratio = .70 * nNodes / (2*(nNodes-1));
else if (a == NCCL_ALGO_NVLS || a == NCCL_ALGO_NVLS_TREE) ratio = 5.0/6.0;
else ratio = .5;
comm->bandwidths[coll][a][p] = busBw * ratio;
/* Ring bandwidth backup */
if (a == NCCL_ALGO_RING)
comm->ringbdw[coll][p] = comm->bandwidths[coll][NCCL_ALGO_RING][p];
comm->latencies[coll][a][p] = baseLat[a][p];
float intraLat = rcclTuningModel[comm->topo->tuning].hwLat[intraHw[a]][a][p];
@@ -430,7 +435,7 @@ ncclResult_t ncclTopoTuneModel(struct ncclComm* comm, int minCompCap, int maxCom
2 * ((nRanks/nNodes-1) * intraLat + log2i(nNodes) * interLat);
} else if (a == NCCL_ALGO_COLLNET_DIRECT) {
comm->latencies[coll][a][p] +=
2 * (std::min(1, (nRanks/nNodes-1)) * intraLat + (nRanks/nNodes-1) * 0.5) + interLat; // Add 0.5 arity serialization latency
2 * (std::min(1, (nRanks/nNodes-1)) * intraLat + (nRanks/nNodes-1) * 0.4) + interLat; // Add 0.4 us arity serialization latency
} else if (a == NCCL_ALGO_COLLNET_CHAIN) {
comm->latencies[coll][a][p] += 2 * (nRanks/nNodes-1) * intraLat + interLat;
} else if (a == NCCL_ALGO_NVLS) {
@@ -447,12 +452,12 @@ ncclResult_t ncclTopoTuneModel(struct ncclComm* comm, int minCompCap, int maxCom
int protoEnable[NCCL_NUM_PROTOCOLS] = { 1, 2, 1 };
int algoEnable[NCCL_NUM_ALGORITHMS] = { 1, 1, 1, 1, 1, 1 };
const char *protoStr = getenv("NCCL_PROTO");
const char *protoStr = ncclGetEnv("NCCL_PROTO");
if (protoStr) {
INFO(NCCL_ENV, "NCCL_PROTO set by environment to %s", protoStr);
NCCLCHECK(parseList(protoStr, ncclProtoStr, NCCL_NUM_PROTOCOLS, protoEnable));
}
const char *algoStr = getenv("NCCL_ALGO");
const char *algoStr = ncclGetEnv("NCCL_ALGO");
if (algoStr) {
INFO(NCCL_ENV, "NCCL_ALGO set by environment to %s", algoStr);
NCCLCHECK(parseList(algoStr, ncclAlgoStr, NCCL_NUM_ALGORITHMS, algoEnable));
@@ -505,11 +510,25 @@ ncclResult_t ncclTopoTuneModel(struct ncclComm* comm, int minCompCap, int maxCom
#endif
}
if (pEnable == 0) comm->bandwidths[c][a][p] = 0;
// Never disable ring for non-allreduce operations. That allows to run real apps with NCCL_ALGO=TREE.
if (a == NCCL_ALGO_RING && c != ncclFuncAllReduce) continue;
if (algoEnable[a] == 0) comm->bandwidths[c][a][p] = 0;
}
for (int c = 0; c < NCCL_NUM_FUNCTIONS; c++) {
bool available = false;
for (int a = 0; a < NCCL_NUM_ALGORITHMS; a++)
for (int p = 0; p < NCCL_NUM_PROTOCOLS; p++)
if (comm->bandwidths[c][a][p] != 0) {
available = true;
goto check_avail;
}
check_avail:
if (available == false) {
/* at least set ring algo available */
for (int p = 0; p < NCCL_NUM_PROTOCOLS; p++)
comm->bandwidths[c][NCCL_ALGO_RING][p] = comm->ringbdw[c][p];
}
}
if (comm->rank == 0) {
char line[1024];
for (int block=0; block<2; block++) {
@@ -558,7 +577,7 @@ ncclResult_t ncclTopoTuneModel(struct ncclComm* comm, int minCompCap, int maxCom
comm->threadThresholds[NCCL_ALGO_COLLNET_CHAIN][NCCL_PROTO_SIMPLE] = 256;
// Override defaults with user env
char* str = getenv("NCCL_THREAD_THRESHOLDS");
const char* str = ncclGetEnv("NCCL_THREAD_THRESHOLDS");
if (str) {
INFO(NCCL_ENV, "NCCL_THREAD_THRESHOLDS set by environment to %s", str);
ssize_t t[2][NCCL_NUM_PROTOCOLS] = {{ -2, -2, -2 }, { -2, -2, -2 }};
@@ -582,9 +601,27 @@ ncclResult_t ncclTopoTuneModel(struct ncclComm* comm, int minCompCap, int maxCom
return ncclSuccess;
}
ncclResult_t ncclTopoGetAlgoTime(struct ncclInfo* info, int algorithm, int protocol, int numPipeOps, float* time) {
float bw = info->comm->bandwidths[info->coll][algorithm][protocol];
// Trees are not perfectly sticking to the model for medium sizes. Applying a static correction
// factor is not ideal but works quite well. Powers of two, 64 B to 256MB.
static float treeCorrectionFactor[NCCL_NUM_PROTOCOLS][23] = {
{ 1.0, 1.0, 1.0, 1.0, .9, .8, .7, .7, .7, .7, .6, .5, .4, .4, .5, .6, .7, .8, .9, 1.0, 1.0, 1.0, 1.0 },
{ 1.0, 1.0, 1.0, 1.0, 1.0, .9, .8, .8, .8, .7, .6, .6, .6, .6, .6, .6, .8, .9, .9, .9, .9, 1.0, 1.0 },
{ .9, .9, .9, .9, .9, .9, .9, .8, .7, .6, .6, .5, .5, .5, .5, .6, .7, .8, .7, .7, .8, .9, .9 }
};
ncclResult_t ncclTopoGetAlgoTime(struct ncclInfo* info, int algorithm, int protocol, int numPipeOps, float* time, bool* backup) {
float bw = info->comm->bandwidths[info->coll][algorithm][protocol];
float lat = info->comm->latencies[info->coll][algorithm][protocol];
if (backup) {
*backup = false;
if (algorithm == NCCL_ALGO_RING && bw == 0.0f) {
/* try back up RING algorithm */
bw = info->comm->ringbdw[info->coll][protocol];
*backup = true;
}
}
if (bw == 0) {
*time = -1.0; return ncclSuccess;
}
projects/rccl/src/graph/xml.cc
+41 -2
Melihat File
@@ -257,13 +257,17 @@ ncclResult_t ncclTopoXmlLoadNvlink(FILE* file, struct ncclXml* xml, struct ncclX
return ncclSuccess;
}
ncclResult_t ncclTopoXmlLoadC2c(FILE* file, struct ncclXml* xml, struct ncclXmlNode* head) {
NCCLCHECK(xmlLoadSub(file, xml, head, NULL, 0));
return ncclSuccess;
}
ncclResult_t ncclTopoXmlLoadGpu(FILE* file, struct ncclXml* xml, struct ncclXmlNode* head) {
#if defined(__HIP_PLATFORM_HCC__) || defined(__HCC__) || defined(__HIPCC__)
struct xmlHandler handlers[] = { { "xgmi", ncclTopoXmlLoadNvlink } };
#else
struct xmlHandler handlers[] = { { "nvlink", ncclTopoXmlLoadNvlink } };
struct xmlHandler handlers[] = { { "nvlink", ncclTopoXmlLoadNvlink }, { "c2c", ncclTopoXmlLoadC2c } };
#endif
NCCLCHECK(xmlLoadSub(file, xml, head, handlers, 1));
NCCLCHECK(xmlLoadSub(file, xml, head, handlers, 2));
return ncclSuccess;
}
@@ -751,6 +755,41 @@ ncclResult_t ncclTopoGetXmlFromGpu(struct ncclXmlNode* pciNode, uint32_t rocmDev
}
#endif
}
#if CUDART_VERSION >= 11080
struct ncclXmlNode* c2cNode = NULL;
NCCLCHECK(xmlGetSub(gpuNode, "c2c", &c2cNode));
if (c2cNode == NULL) {
if (sm >= 90) {
int c2cLinksCount = 0;
nvmlFieldValue_t fv;
fv.fieldId = NVML_FI_DEV_C2C_LINK_COUNT;
if ((ncclNvmlDeviceGetFieldValues(nvmlDev, 1, &fv) == ncclSuccess) && (fv.nvmlReturn == NVML_SUCCESS)) {
c2cLinksCount = fv.value.uiVal;
int bw = 0;
int count = 0;
for (int l=0; l<c2cLinksCount; l++) {
nvmlFieldValue_t fvs[2];
fvs[0].fieldId = NVML_FI_DEV_C2C_LINK_GET_STATUS;
fvs[0].scopeId = l;
fvs[1].fieldId = NVML_FI_DEV_C2C_LINK_GET_MAX_BW;
fvs[1].scopeId = l;
if ((ncclNvmlDeviceGetFieldValues(nvmlDev, 2, fvs) == ncclSuccess) &&
(fvs[0].nvmlReturn == NVML_SUCCESS) &&
(fvs[0].value.uiVal == 1) &&
(fvs[1].nvmlReturn == NVML_SUCCESS)) {
bw = fvs[1].value.uiVal;
count++;
}
}
if (count > 0) {
NCCLCHECK(xmlAddNode(xml, gpuNode, "c2c", &c2cNode));
NCCLCHECK(xmlSetAttrInt(c2cNode, "bw", bw));
NCCLCHECK(xmlSetAttrInt(c2cNode, "count", count));
}
}
}
}
#endif
// Fill target classes
for (int s=0; s<gpuNode->nSubs; s++) {
struct ncclXmlNode* sub = gpuNode->subs[s];
projects/rccl/src/group.cc
+45 -32
Melihat File
@@ -26,7 +26,6 @@ __thread int ncclGroupBlocking = -1; /* default mode */
__thread bool ncclGroupJobAbortFlag = false;
void* ncclAsyncJobMain(void* arg);
static ncclResult_t groupJobComplete(struct ncclGroupJob *job);
ncclResult_t ncclAsyncLaunch(
struct ncclAsyncJob* job,
@@ -93,15 +92,7 @@ ncclResult_t ncclGroupStart() {
return ret;
}
inline ncclResult_t ncclGroupStartInternal() {
/* if previous group launch does not complete, don't launch this one. */
if (ncclGroupJobMainPtr != NULL) {
if (__atomic_load_n(&ncclGroupJobMainPtr->doneFlag, __ATOMIC_ACQUIRE) == false) {
return ncclInvalidUsage;
} else {
NCCLCHECK(groupJobComplete(ncclGroupJobMainPtr));
}
}
ncclResult_t ncclGroupStartInternal() {
ncclGroupDepth++;
if (mscclAvailable() && !mscclIsCaller()) {
NCCLCHECK(mscclGroupStart());
@@ -202,9 +193,28 @@ failure:
return result;
}
static void groupCleanup(struct ncclComm** groupCommHeadPtr, struct ncclComm** groupCommPreconnectHeadPtr, struct ncclIntruQueue<struct ncclAsyncJob, &ncclAsyncJob::next>* asyncJobsPtr, ncclResult_t* groupErrorPtr, ncclResult_t error) {
static inline void groupResetJobState(struct ncclGroupJob* job) {
if (job) {
if (job->groupBlockingPtr) *job->groupBlockingPtr = -1;
if (job->abortFlagPtr) *job->abortFlagPtr = false;
if (job->groupErrorPtr) *job->groupErrorPtr = ncclSuccess;
if (job->groupCommHeadPtr) *job->groupCommHeadPtr = NULL;
if (job->groupCommPreconnectHeadPtr) *job->groupCommPreconnectHeadPtr = NULL;
memset(job, 0, sizeof(struct ncclGroupJob));
}
return;
}
static void groupCleanup(struct ncclComm** groupCommHeadPtr, struct ncclComm** groupCommPreconnectHeadPtr, struct ncclIntruQueue<struct ncclAsyncJob, &ncclAsyncJob::next>* asyncJobsPtr, ncclResult_t* groupErrorPtr, int* groupBlockingPtr, volatile bool* groupJobAbortFlagPtr, ncclResult_t error) {
struct ncclComm* comm = *groupCommHeadPtr;
/* reset all thread local variables */
*groupCommHeadPtr = NULL;
*groupCommPreconnectHeadPtr = NULL;
*groupErrorPtr = ncclSuccess;
*groupBlockingPtr = -1;
*groupJobAbortFlagPtr = false;
while (comm != nullptr) {
struct ncclComm* next = comm->groupNext;
(void) ncclGroupCommLeave(comm); // overwrites comm->groupNext
@@ -254,16 +264,12 @@ static void groupCleanup(struct ncclComm** groupCommHeadPtr, struct ncclComm** g
/* reset everything */
while (!ncclIntruQueueEmpty(asyncJobsPtr)) {
struct ncclAsyncJob* job = ncclIntruQueueDequeue(asyncJobsPtr);
*job->abortFlag = 1;
if (job->comm && !job->comm->config.blocking)
(void) ncclCommSetAsyncError(job->comm, error);
if (job->undo) job->undo(job);
if (job->destructor) job->destructor((void*)job);
}
*groupErrorPtr = ncclSuccess;
*groupCommHeadPtr = nullptr;
*groupCommPreconnectHeadPtr = nullptr;
return;
}
@@ -346,9 +352,6 @@ static ncclResult_t groupLaunch(struct ncclAsyncJob *job_) {
NCCLCHECKGOTO(doLaunches(groupCommHeadMain), ret, fail);
}
/* this atomic must happen before cleanup and setting state of communicators */
__atomic_store_n(&gjob->doneFlag, true, __ATOMIC_RELEASE);
while (!ncclIntruQueueEmpty(asyncJobsMain)) {
struct ncclAsyncJob* job = ncclIntruQueueDequeue(asyncJobsMain);
if (job->comm && !job->comm->config.blocking)
@@ -366,16 +369,12 @@ static ncclResult_t groupLaunch(struct ncclAsyncJob *job_) {
groupCommHeadMain = next;
}
*gjob->groupErrorPtr = ncclSuccess;
*gjob->groupCommHeadPtr = nullptr;
*gjob->groupCommPreconnectHeadPtr = nullptr;
CUDACHECK(cudaSetDevice(savedDev));
exit:
return ret;
fail:
groupCleanup(gjob->groupCommHeadPtr, gjob->groupCommPreconnectHeadPtr, gjob->asyncJobsPtr, gjob->groupErrorPtr, ret);
groupCleanup(gjob->groupCommHeadPtr, gjob->groupCommPreconnectHeadPtr, gjob->asyncJobsPtr, gjob->groupErrorPtr, gjob->groupBlockingPtr, gjob->abortFlagPtr, ret);
goto exit;
}
@@ -402,7 +401,8 @@ ncclResult_t ncclGroupEndInternal() {
ncclGroupJobMain.groupErrorPtr = &ncclGroupError;
ncclGroupJobMain.asyncJobsPtr = &ncclAsyncJobs;
ncclGroupJobMain.abortFlagPtr = &ncclGroupJobAbortFlag;
ncclGroupJobMain.doneFlag = false;
ncclGroupJobMain.groupBlockingPtr = &ncclGroupBlocking;
ncclGroupJobMain.initialized = true;
ncclGroupJobMainPtr = &ncclGroupJobMain;
/* make sure ncclGroupBlocking has been set. */
assert(ncclGroupBlocking == 0 || ncclGroupBlocking == 1);
@@ -412,6 +412,7 @@ ncclResult_t ncclGroupEndInternal() {
ncclAsyncJob* job = ncclIntruQueueHead(&ncclAsyncJobs);
do {
NCCLCHECKGOTO(ncclCommSetAsyncError(job->comm, ncclInProgress), ret, fail);
job->comm->groupJob = ncclGroupJobMainPtr;
job = job->next;
} while (job);
}
@@ -420,30 +421,42 @@ ncclResult_t ncclGroupEndInternal() {
ncclComm_t comm = ncclGroupCommHead;
do {
NCCLCHECKGOTO(ncclCommSetAsyncError(comm, ncclInProgress), ret, fail);
/* link group job to communicators. */
comm->groupJob = ncclGroupJobMainPtr;
comm = comm->groupNext;
} while (comm);
}
ncclGroupJobMainPtr->base.func = groupLaunch;
SYSCHECKGOTO(pthread_create(&ncclGroupJobMainPtr->base.thread, NULL, ncclAsyncJobMain, (void*)&ncclGroupJobMainPtr->base), ret, fail);
ret = ncclInProgress;
} else {
/* blocking group */
NCCLCHECKGOTO(groupLaunch(&ncclGroupJobMainPtr->base), ret, fail);
groupResetJobState();
groupResetJobState(ncclGroupJobMainPtr);
}
}
exit:
return ret;
fail:
groupCleanup(&ncclGroupCommHead, &ncclGroupCommPreconnectHead, &ncclAsyncJobs, &ncclGroupError, ret);
groupResetJobState();
groupCleanup(&ncclGroupCommHead, &ncclGroupCommPreconnectHead, &ncclAsyncJobs, &ncclGroupError, &ncclGroupBlocking, &ncclGroupJobAbortFlag, ret);
goto exit;
}
void ncclGroupJobAbort() {
ncclGroupJobAbortFlag = true;
(void) groupJobComplete(ncclGroupJobMainPtr);
/* reset group abort flag */
ncclGroupJobAbortFlag = false;
ncclResult_t ncclGroupJobComplete(struct ncclGroupJob* groupJob) {
ncclResult_t ret = ncclSuccess;
if (groupJob && groupJob->initialized) {
ret = ncclAsyncJobComplete(&groupJob->base);
groupResetJobState(groupJob);
}
return ret;
}
ncclResult_t ncclGroupJobAbort(struct ncclGroupJob* groupJob) {
if (groupJob && groupJob->initialized) {
*groupJob->abortFlagPtr = true;
NCCLCHECK(ncclGroupJobComplete(groupJob));
}
return ncclSuccess;
}
projects/rccl/src/include/alloc.h
+1 -1
Melihat File
@@ -116,7 +116,7 @@ static inline ncclResult_t ncclCuMemAlloc(void **ptr, CUmemGenericAllocationHand
/* Allocate the physical memory on the device */
CUCHECK(cuMemCreate(&handle, size, &prop, 0));
/* Reserve a virtual address range */
CUCHECK(cuMemAddressReserve((CUdeviceptr *)ptr, size, 0, 0, 0));
CUCHECK(cuMemAddressReserve((CUdeviceptr *)ptr, size, granularity, 0, 0));
/* Map the virtual address range to the physical allocation */
CUCHECK(cuMemMap((CUdeviceptr)*ptr, size, 0, handle, 0));
/* Now allow RW access to the newly mapped memory */
projects/rccl/src/include/collectives.h
+23 -55
Melihat File
@@ -8,53 +8,7 @@
#ifndef NCCL_COLLECTIVES_H_
#define NCCL_COLLECTIVES_H_
enum ncclDevRedOp_t {
ncclDevSum, ncclDevProd, ncclDevMax, ncclDevMin,
ncclDevPreMulSum, ncclDevSumPostDiv,
ncclNumDevRedOps
};
struct ncclDevRedOpFull {
ncclDevRedOp_t op;
bool scalarArgIsPtr;
uint64_t scalarArg;
};
#define FUNC_INDEX_P2P 1015
#define FUNC_INDEX_ALLTOALL_PIVOT 675
#define FUNC_INDEX_TOTAL 1026 // Total number of functions that goes into librccl.so index in host_table.cc
#define NCCL_FUNC_NAME(func, algo, proto, devredop, type) \
ncclFunction_##func##_##algo##_##proto##_##devredop##_##type
#define NCCL_ONERANK_REDUCE_NAME(devredop, type) \
ncclFunction_OneRankReduce_##devredop##_##type
#define NCCL_KERN_NAME(func, algo, proto, devredop, type) \
ncclKernel_##func##_##algo##_##proto##_##devredop##_##type
#define NCCL_KERN_NAME_DEBUG(func, algo, proto, devredop, type) \
ncclKernelDebug_##func##_##algo##_##proto##_##devredop##_##type
#define NCCL_IMPL_NAME(func, algo, proto) \
nccl##func##algo##proto
// Declare rccl main/general kernel
extern __global__ void rccl_main_kernel(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead);
#ifdef ENABLE_COLLTRACE
extern __global__ void rccl_main_kernel_debug(struct ncclDevComm* comm, uint64_t channelMask, struct ncclWork* workHead);
#endif
// Declare OneRankReduce
extern __device__ void NCCL_ONERANK_REDUCE_NAME(PreMulSum, int8_t)();
extern __device__ void NCCL_ONERANK_REDUCE_NAME(PreMulSum, uint8_t)();
extern __device__ void NCCL_ONERANK_REDUCE_NAME(PreMulSum, int32_t)();
extern __device__ void NCCL_ONERANK_REDUCE_NAME(PreMulSum, uint32_t)();
extern __device__ void NCCL_ONERANK_REDUCE_NAME(PreMulSum, int64_t)();
extern __device__ void NCCL_ONERANK_REDUCE_NAME(PreMulSum, uint64_t)();
extern __device__ void NCCL_ONERANK_REDUCE_NAME(PreMulSum, half)();
extern __device__ void NCCL_ONERANK_REDUCE_NAME(PreMulSum, rccl_bfloat16)();
extern __device__ void NCCL_ONERANK_REDUCE_NAME(PreMulSum, float)();
extern __device__ void NCCL_ONERANK_REDUCE_NAME(PreMulSum, double)();
#include "nccl.h"
// CHUNKSIZE must be a multiple of SLICESIZE
#define ALLREDUCE_SLICESTEPS (NCCL_STEPS/4)
@@ -71,13 +25,27 @@ extern __device__ void NCCL_ONERANK_REDUCE_NAME(PreMulSum, double)();
#define ALLTOALL_PIVOT_SLICESTEPS 2
#define ALLTOALL_PIVOT_CHUNKSTEPS 4
// We can't use the enum identifiers like ncclSum, ncclFloat, etc since this
// macro will be used in preprocessor conditionals where enums have no meaning.
#define NCCL_NVLS_SUPPORTS(/*ncclDataType_t*/ type, /*ncclDevRedOp_t*/ red) \
(((type==2 || type==3) && (red==0 || red==2 || red==3)) || \
((type==4 || type==5) && (red==0 || red==2 || red==3)) || \
((type==6 || type==9) && (red==0 || red==2 || red==3)) || \
(type==7 && red==0) || \
(type==8 && red==0))
inline int ncclTypeSize(ncclDataType_t type) {
switch (type) {
case ncclInt8:
case ncclUint8:
return 1;
case ncclFloat16:
#if defined(RCCL_BFLOAT16)
case ncclBfloat16:
#endif
return 2;
case ncclInt32:
case ncclUint32:
case ncclFloat32:
return 4;
case ncclInt64:
case ncclUint64:
case ncclFloat64:
return 8;
default:
return -1;
}
}
#endif
projects/rccl/src/include/comm.h
+46 -3
Melihat File
@@ -11,8 +11,10 @@
#include "transport.h"
#include "p2p.h"
#include "collectives.h"
#include "nccl_tuner.h"
#include "proxy.h"
#include "strongstream.h"
#include "nccl_net.h"
#if defined(__HIP_PLATFORM_HCC__) || defined(__HCC__) || defined(__HIPCC__)
#define HIPRT_CB
@@ -130,7 +132,7 @@ struct ncclChannel {
struct ncclChannelPeer** peers;
struct ncclDevChannelPeer** devPeers;
/* devPeer pointer array used for host side access */
struct ncclDevChannelPeer** devPeersHostPtr;
struct ncclDevChannelPeer** devPeersHostPtr;
struct ncclRing ring;
int* devRingUserRanks;
struct ncclTree tree;
@@ -160,6 +162,14 @@ struct ncclPointerList {
void *ptr;
};
struct ncclNvlsMcHandleList {
struct ncclNvlsMcHandleList *next;
CUmemGenericAllocationHandle mcHandle;
CUdeviceptr ptr;
int dev;
size_t size;
};
struct ncclKernelPlan {
// A kernel plan is also a callback that reclaims itself. Hence this must
// be the first member.
@@ -183,6 +193,7 @@ struct ncclKernelPlan {
int collOpCount; // zero based for this plan
struct ncclIntruQueue<struct ncclPointerList, &ncclPointerList::next> ipcMemQueue;
struct ncclIntruQueue<struct ncclNvlsMcHandleList, &ncclNvlsMcHandleList::next> nvlsMcHandleQueue;
struct Channel {
int nWork;
@@ -196,6 +207,23 @@ struct ncclKernelPlan {
} channels[MAXCHANNELS];
};
struct ncclRegRequest {
uintptr_t buff;
size_t size;
struct ncclRegRequest *next;
};
struct ncclRegRecord {
uintptr_t buff;
size_t size;
CUdeviceptr regAddr;
size_t regSize;
int dev;
CUmemGenericAllocationHandle mcHandle;
uintptr_t *addrs; /* use to check if NVLS buffers match among intra-node ranks */
struct ncclRegRecord *next;
};
struct ncclComm {
struct ncclMemoryStack memPermanent, memScoped;
// List of destructors to run when comm is destructed
@@ -267,6 +295,7 @@ struct ncclComm {
ssize_t threadThresholds[NCCL_NUM_ALGORITHMS][NCCL_NUM_PROTOCOLS];
float latencies[NCCL_NUM_FUNCTIONS][NCCL_NUM_ALGORITHMS][NCCL_NUM_PROTOCOLS];
float bandwidths[NCCL_NUM_FUNCTIONS][NCCL_NUM_ALGORITHMS][NCCL_NUM_PROTOCOLS];
float ringbdw[NCCL_NUM_FUNCTIONS][NCCL_NUM_PROTOCOLS];
int maxThreads[NCCL_NUM_ALGORITHMS][NCCL_NUM_PROTOCOLS];
/* This attribute can indicate the states of communicators and return code of
@@ -276,7 +305,7 @@ struct ncclComm {
// Flag to ask NCCL kernels to abort
volatile uint32_t *abortFlag;
volatile uint32_t *childAbortFlag;
uint32_t *abortFlagRefCount;
volatile uint32_t *abortFlagRefCount;
// Flags for enable P2P NET
uint32_t p2pNet;
@@ -321,15 +350,19 @@ struct ncclComm {
// NVLink SHARP (NVLS) support
int nvlsSupport;
int nvlsRegSupport;
/* sharable NVLS resource. */
struct ncclNvlsSharedRes* nvlsResources;
struct ncclShmemCollBuff nvlsShmem;
void *nvlsShmemHandle;
size_t channelSize; // User requested work size (bytes) for channel partitions
ssize_t channelSize; // User requested work size (bytes) for channel partitions
// pools backed by comm->memPermanent
struct ncclMemoryPool memPool_ncclProxyOp;
struct ncclMemoryPool memPool_ncclKernelPlan;
struct ncclMemoryPool memPool_ncclPointerList;
struct ncclMemoryPool memPool_ncclNvlsHandleList;
// Next comm in this thread's active ncclGroup[Start|End](). Holds "0x1" when
// this comm is not yet in a group.
struct ncclComm* groupNext;
@@ -372,6 +405,16 @@ struct ncclComm {
// Whether this comm is compatible with MSCCL
bool mscclCompatible;
// group job to support multi-thread FT
struct ncclGroupJob *groupJob;
/* store to buffer register request */
struct ncclIntruQueue<struct ncclRegRequest, &ncclRegRequest::next> regRequestQueue;
/* store registered buffer */
struct ncclIntruQueue<struct ncclRegRecord, &ncclRegRecord::next> regRecordQueue;
// Tuning plugin
ncclTuner_t* tuner;
};
enum ncclLaunchMode {
projects/rccl/src/include/core.h
-23
Melihat File
@@ -31,29 +31,6 @@
ret func(args)
#endif // end PROFAPI
static __inline__ int ncclTypeSize(ncclDataType_t type) {
switch (type) {
case ncclInt8:
case ncclUint8:
return 1;
case ncclFloat16:
#if defined(RCCL_BFLOAT16)
case ncclBfloat16:
#endif
return 2;
case ncclInt32:
case ncclUint32:
case ncclFloat32:
return 4;
case ncclInt64:
case ncclUint64:
case ncclFloat64:
return 8;
default:
return -1;
}
}
#include "debug.h"
#include "checks.h"
#include "rocmwrap.h"
projects/rccl/src/include/cudawrap.h
+4 -3
Melihat File
@@ -30,7 +30,7 @@ typedef CUresult (CUDAAPI *PFN_cuGetProcAddress_v11030)(const char *symbol, void
if( err != CUDA_SUCCESS ) { \
const char *errStr; \
(void) pfn_cuGetErrorString(err, &errStr); \
WARN("Cuda failure '%s'", errStr); \
WARN("Cuda failure %d '%s'", err, errStr); \
return ncclUnhandledCudaError; \
} \
} while(false)
@@ -40,7 +40,7 @@ typedef CUresult (CUDAAPI *PFN_cuGetProcAddress_v11030)(const char *symbol, void
if( err != CUDA_SUCCESS ) { \
const char *errStr; \
(void) pfn_cuGetErrorString(err, &errStr); \
WARN("Cuda failure '%s'", errStr); \
WARN("Cuda failure %d '%s'", err, errStr); \
res = ncclUnhandledCudaError; \
goto label; \
} \
@@ -52,7 +52,7 @@ typedef CUresult (CUDAAPI *PFN_cuGetProcAddress_v11030)(const char *symbol, void
if( err != CUDA_SUCCESS ) { \
const char *errStr; \
(void) pfn_cuGetErrorString(err, &errStr); \
INFO(NCCL_ALL,"%s:%d Cuda failure '%s'", __FILE__, __LINE__, errStr); \
INFO(NCCL_ALL,"%s:%d Cuda failure %d '%s'", __FILE__, __LINE__, err, errStr); \
} \
} while(false)
@@ -79,6 +79,7 @@ DECLARE_CUDA_PFN_EXTERN(cuCtxDestroy, 4000);
DECLARE_CUDA_PFN_EXTERN(cuCtxGetCurrent, 4000);
DECLARE_CUDA_PFN_EXTERN(cuCtxSetCurrent, 4000);
DECLARE_CUDA_PFN_EXTERN(cuCtxGetDevice, 2000);
DECLARE_CUDA_PFN_EXTERN(cuPointerGetAttribute, 4000);
// cuMem API support
DECLARE_CUDA_PFN_EXTERN(cuMemAddressReserve, 10020);
DECLARE_CUDA_PFN_EXTERN(cuMemAddressFree, 10020);
projects/rccl/src/include/debug.h
+4 -3
Melihat File
@@ -4,10 +4,11 @@
* See LICENSE.txt for license information
************************************************************************/
#ifndef NCCL_DEBUG_H_
#define NCCL_DEBUG_H_
#ifndef NCCL_INT_DEBUG_H_
#define NCCL_INT_DEBUG_H_
#include "nccl_net.h"
#include "nccl.h"
#include "nccl_common.h"
#include <stdio.h>
#include <chrono>
#include <type_traits>
projects/rccl/src/include/devcomm.h → projects/rccl/src/include/device.h
+49 -22
Melihat File
@@ -10,6 +10,7 @@
#include "nccl.h"
#include "rccl_bfloat16.h"
#include "nccl_common.h"
#include "align.h"
#include "collectives.h"
#if defined(ENABLE_NPKIT)
@@ -17,32 +18,31 @@
#endif
#include <stdint.h>
#define NCCL_NUM_FUNCTIONS 5 // SendRecv and AllToAllPivot not included for now
typedef enum { ncclFuncBroadcast, ncclFuncReduce, ncclFuncAllGather, ncclFuncReduceScatter, ncclFuncAllReduce, ncclFuncSendRecv, ncclFuncSend, ncclFuncRecv, ncclFuncAllToAllPivot, ncclNumFuncs} ncclFunc_t;
extern const char* ncclFuncStr[NCCL_NUM_FUNCTIONS+2];
#ifdef ENABLE_COLLTRACE
extern const char* funcNames[FUNC_INDEX_TOTAL];
#endif
#define NCCL_NUM_ALGORITHMS 6 // Tree/Ring/CollNet*
#define NCCL_ALGO_TREE 0
#define NCCL_ALGO_RING 1
#define NCCL_ALGO_COLLNET_DIRECT 2
#define NCCL_ALGO_COLLNET_CHAIN 3
#define NCCL_ALGO_NVLS 4
#define NCCL_ALGO_NVLS_TREE 5
extern const char* ncclAlgoStr[NCCL_NUM_ALGORITHMS];
#define NCCL_NUM_PROTOCOLS 3 // Simple/LL/LL128
#define NCCL_PROTO_LL 0
#define NCCL_PROTO_LL128 1
#define NCCL_PROTO_SIMPLE 2
extern const char* ncclProtoStr[NCCL_NUM_PROTOCOLS];
extern const char* funcNames[FUNC_INDEX_TOTAL];
#define NCCL_MAX_OPS 2048
#define NCCL_STEPS 8
#include "net_device.h"
enum ncclDevRedOp_t {
ncclDevSum, ncclDevProd, ncclDevMinMax,
ncclDevPreMulSum, ncclDevSumPostDiv,
ncclNumDevRedOps
};
struct ncclDevRedOpFull {
ncclDevRedOp_t op;
ncclRedOp_t proxyOp;
bool scalarArgIsPtr;
uint64_t scalarArg;
};
union ncclLLFifoLine {
/* Flags have to be *after* data, because otherwise, an incomplete receive
from the network may receive the flag but not the data.
@@ -95,6 +95,7 @@ static_assert(NCCL_LL_CLEAN_MASK % NCCL_STEPS == 0, "Invalid NCCL_LL_CLEAN_MASK
struct ncclConnInfo {
// Regular comm mechanism
char *buffs[NCCL_NUM_PROTOCOLS]; // Local for recv, remote for send
void* mhandles[NCCL_NUM_PROTOCOLS];
uint64_t *tail; // Local for recv, remote for send
uint64_t *head; // Local for send, remote for recv
@@ -114,6 +115,7 @@ struct ncclConnInfo {
// descriptions in primitives.h.
uint32_t* next_hdp_reg; // Next GPU in ring (for p2p transport use only)
uint32_t* curr_hdp_reg; // Current GPU's HDP register
ncclNetDeviceHandle_t netDeviceHandle;
};
struct ncclProxyConnector {
@@ -121,6 +123,7 @@ struct ncclProxyConnector {
int tpLocalRank;
int sameProcess;
struct ncclProxyConnection* connection;
ncclResult_t (*proxyProgress)(struct ncclProxyState* proxyState, struct ncclProxyArgs*); // Copied from transport if necessary
};
struct ncclConnector {
@@ -394,6 +397,7 @@ struct ncclDevComm {
int rank;
int nRanks;
int buffSizes[NCCL_NUM_PROTOCOLS];
int p2pChunkSize;
// Operation list for aggregation
int workFifoDepth;
@@ -487,11 +491,34 @@ __host__ __device__ constexpr int ncclShmemDynamicSize(int cudaArch = NCCL_CUDA_
return cudaArch < 700 ? 0 : ncclShmemScratchWarpSize(cudaArch)*(NCCL_MAX_NTHREADS/WARP_SIZE);
}
// Launch a one-rank reduction on stream.
ncclResult_t ncclLaunchOneRank(void* dst, void const* src, size_t nElts, struct ncclDevRedOpFull redOp, ncclDataType_t type, cudaStream_t stream);
// `ncclNvlsSupported()` needs to be in sync with "func_valid" in "src/device/generate.py"
inline bool ncclNvlsSupported(int devRedOp, int type) {
switch (type) {
case ncclInt32:
case ncclUint32:
case ncclInt64:
case ncclUint64:
case ncclFloat16:
#if defined(RCCL_BFLOAT16)
case ncclBfloat16:
#endif
return devRedOp == ncclDevSum || devRedOp == ncclDevMinMax;
case ncclFloat:
case ncclDouble:
return devRedOp == ncclDevSum;
default:
return false;
}
}
// Map the rowIdx to funcIdx
extern int const ncclFuncRowToId[];
extern int const ncclDevFuncRowToId[];
// `ncclFuncIndex()` needs to be in sync with 'ALL_COLLS' in Generate.cmake
inline int ncclFuncId(int coll, int devRedOp, int type, int algo, int proto) {
inline int ncclDevFuncId(int coll, int devRedOp, int type, int algo, int proto) {
int row = 0;
// RING / <all_protos> / Sum / int8_t
@@ -538,11 +565,11 @@ inline int ncclFuncId(int coll, int devRedOp, int type, int algo, int proto) {
row += 1;
have_row:
return ncclFuncRowToId[row];
return ncclDevFuncRowToId[row];
}
inline int ncclFuncId_P2p() { return ncclFuncRowToId[FUNC_INDEX_P2P]; }
inline int ncclDevFuncId_P2p() { return ncclDevFuncRowToId[FUNC_INDEX_P2P]; }
inline int ncclFuncId_AllToAllPivot() { return ncclFuncRowToId[FUNC_INDEX_ALLTOALL_PIVOT]; }
inline int ncclDevFuncId_AllToAllPivot() { return ncclDevFuncRowToId[FUNC_INDEX_ALLTOALL_PIVOT]; }
#endif
projects/rccl/src/include/graph.h
+2 -3
Melihat File
@@ -9,7 +9,7 @@
#define NCCL_GRAPH_H_
#include "nccl.h"
#include "devcomm.h"
#include "device.h"
#include <limits.h>
#include <stdlib.h>
#include <ctype.h>
@@ -42,7 +42,6 @@ ncclResult_t ncclTopoNeedFlush(struct ncclTopoSystem* system, int64_t busId, int
ncclResult_t ncclTopoCheckNet(struct ncclTopoSystem* system, int64_t id1, int64_t id2, int* net);
int ncclPxnDisable(struct ncclComm* comm);
ncclResult_t ncclTopoGetPxnRanks(struct ncclComm* comm, int** intermediateRanks, int* nranks);
ncclResult_t ncclTopoGetLocalRank(struct ncclTopoSystem* system, int rank, int* localRank);
// Find CPU affinity
ncclResult_t ncclTopoGetCpuAffinity(struct ncclTopoSystem* system, int rank, cpu_set_t* affinity);
@@ -122,6 +121,6 @@ ncclResult_t ncclTreeBasePostset(struct ncclComm* comm, struct ncclTopoGraph* tr
ncclResult_t ncclTopoTuneModel(struct ncclComm* comm, int minCompCap, int maxCompCap, struct ncclTopoGraph** graphs);
#include "info.h"
ncclResult_t ncclTopoGetAlgoTime(struct ncclInfo* info, int algorithm, int protocol, int numPipeOps, float* time);
ncclResult_t ncclTopoGetAlgoTime(struct ncclInfo* info, int algorithm, int protocol, int numPipeOps, float* time, bool* backup = NULL);
#endif
projects/rccl/src/include/group.h
+4 -2
Melihat File
@@ -15,7 +15,8 @@ ncclResult_t ncclGroupErrCheck(ncclResult_t ret);
void ncclGroupCommJoin(struct ncclComm* comm);
void ncclGroupCommPreconnect(struct ncclComm* comm);
ncclResult_t ncclGroupCommLeave(struct ncclComm* comm);
void ncclGroupJobAbort();
ncclResult_t ncclGroupJobAbort(struct ncclGroupJob* groupJob);
ncclResult_t ncclGroupJobComplete(struct ncclGroupJob *groupJob);
typedef ncclResult_t(*ncclInitFunc_t)(ncclComm_t* newcomm, int ndev, ncclUniqueId commId, int myrank, int cudaDev);
@@ -53,8 +54,9 @@ struct ncclGroupJob {
struct ncclComm **groupCommPreconnectHeadPtr;
ncclResult_t *groupErrorPtr;
volatile bool *abortFlagPtr;
int *groupBlockingPtr;
struct ncclIntruQueue<struct ncclAsyncJob, &ncclAsyncJob::next> *asyncJobsPtr;
bool doneFlag;
bool initialized;
};
ncclResult_t ncclGroupStartInternal();
projects/rccl/src/include/ibvcore.h
+15
Melihat File
@@ -1040,4 +1040,19 @@ static inline int ibv_post_send(struct ibv_qp *qp, struct ibv_send_wr *wr, struc
return qp->context->ops.post_send(qp, wr, bad_wr);
}
struct ibv_ece {
/*
* Unique identifier of the provider vendor on the network.
* The providers will set IEEE OUI here to distinguish
* itself in non-homogenius network.
*/
uint32_t vendor_id;
/*
* Provider specific attributes which are supported or
* needed to be enabled by ECE users.
*/
uint32_t options;
uint32_t comp_mask;
};
#endif // NCCL_IBV_CORE_H_
projects/rccl/src/include/ibvsymbols.h
+2
Melihat File
@@ -36,6 +36,8 @@ struct ncclIbvSymbols {
int (*ibv_internal_modify_qp)(struct ibv_qp *qp, struct ibv_qp_attr *attr, int attr_mask);
int (*ibv_internal_destroy_qp)(struct ibv_qp *qp);
const char * (*ibv_internal_event_type_str)(enum ibv_event_type event);
int (*ibv_internal_query_ece)(struct ibv_qp *qp, struct ibv_ece *ece);
int (*ibv_internal_set_ece)(struct ibv_qp *qp, struct ibv_ece *ece);
};
/* Constructs IB verbs symbols per rdma-core linking or dynamic loading mode */
projects/rccl/src/include/ibvwrap.h
+2
Melihat File
@@ -66,6 +66,8 @@ static inline ncclResult_t wrap_ibv_poll_cq(struct ibv_cq *cq, int num_entries,
ncclResult_t wrap_ibv_create_qp(struct ibv_qp **ret, struct ibv_pd *pd, struct ibv_qp_init_attr *qp_init_attr);
ncclResult_t wrap_ibv_modify_qp(struct ibv_qp *qp, struct ibv_qp_attr *attr, int attr_mask);
ncclResult_t wrap_ibv_destroy_qp(struct ibv_qp *qp);
ncclResult_t wrap_ibv_query_ece(struct ibv_qp *qp, struct ibv_ece *ece, int* supported);
ncclResult_t wrap_ibv_set_ece(struct ibv_qp *qp, struct ibv_ece *ece, int* supported);
static inline ncclResult_t wrap_ibv_post_send(struct ibv_qp *qp, struct ibv_send_wr *wr, struct ibv_send_wr **bad_wr) {
int ret = qp->context->ops.post_send(qp, wr, bad_wr); /*returns 0 on success, or the value of errno on failure (which indicates the failure reason)*/
projects/rccl/src/include/info.h
+14 -1
Melihat File
@@ -9,7 +9,7 @@
#define NCCL_INFO_H_
#include "nccl.h"
#include "devcomm.h"
#include "device.h"
#include "collectives.h"
#include "core.h"
#include "utils.h"
@@ -55,6 +55,8 @@ struct ncclInfo {
int nChannels;
int nThreads;
size_t nBytes;
size_t sendbuffSize;
size_t recvbuffSize;
int nstepsPerLoop;
int nchunksPerLoop;
int chunkSize;
@@ -68,6 +70,17 @@ inline ncclResult_t ncclInfoSetDerived(struct ncclInfo* info, int nRanks) {
info->datatype = ncclInt8;
}
if (info->coll == ncclFuncAllGather || info->coll == ncclFuncReduceScatter) info->nBytes *= nRanks; // count is per rank
/* compute buffer size for NVLS buffer registration */
if (info->coll == ncclFuncAllGather) {
info->sendbuffSize = info->count * ncclTypeSize(info->datatype);
info->recvbuffSize = info->sendbuffSize * nRanks;
} else if (info->coll == ncclFuncReduceScatter) {
info->recvbuffSize = info->count * ncclTypeSize(info->datatype);
info->sendbuffSize = info->recvbuffSize * nRanks;
} else {
info->sendbuffSize = info->recvbuffSize = info->count * ncclTypeSize(info->datatype);
}
return ncclSuccess;
}
projects/rccl/src/include/ipcsocket.h
+1
Melihat File
@@ -30,6 +30,7 @@ struct ncclIpcSocket {
ncclResult_t ncclIpcSocketInit(struct ncclIpcSocket *handle, int rank, uint64_t hash, volatile uint32_t* abortFlag);
ncclResult_t ncclIpcSocketClose(struct ncclIpcSocket *handle);
ncclResult_t ncclIpcSocketGetFd(struct ncclIpcSocket* handle, int* fd);
ncclResult_t ncclIpcSocketRecvFd(struct ncclIpcSocket *handle, int *fd);
ncclResult_t ncclIpcSocketSendFd(struct ncclIpcSocket *handle, const int fd, int rank, uint64_t hash);
projects/rccl/src/include/msccl/msccl_kernel.h
+1 -2
Melihat File
@@ -39,8 +39,7 @@ __global__ void MSCCL_KERNEL_ENTRY_NAME(devredop, type, proto, fullOps)(struct n
#define MSCCL_DECL_KERNEL_ENTRY_FUNC() \
MSCCL_DECL_KERNEL_ENTRY_FUNC_DEVREDOP(Sum, false) \
MSCCL_DECL_KERNEL_ENTRY_FUNC_DEVREDOP(Prod, false) \
MSCCL_DECL_KERNEL_ENTRY_FUNC_DEVREDOP(Max, false) \
MSCCL_DECL_KERNEL_ENTRY_FUNC_DEVREDOP(Min, false) \
MSCCL_DECL_KERNEL_ENTRY_FUNC_DEVREDOP(MinMax, false) \
MSCCL_DECL_KERNEL_ENTRY_FUNC_DEVREDOP(PreMulSum, false) \
MSCCL_DECL_KERNEL_ENTRY_FUNC_DEVREDOP_NOFLOAT(SumPostDiv, false)
projects/rccl/src/include/msccl/msccl_struct.h
+1 -1
Melihat File
@@ -10,7 +10,7 @@
#include <map>
#include <set>
#include <vector>
#include "devcomm.h"
#include "device.h"
#include "msccl/msccl_scheduler.h"
#define MSCCL_MAX_NUM_STEPS 64
projects/rccl/src/include/nccl_common.h
+37
Melihat File
@@ -0,0 +1,37 @@
/*************************************************************************
* Copyright (c) 2017-2022, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#ifndef NCCL_DEBUG_H_
#define NCCL_DEBUG_H_
typedef enum {NCCL_LOG_NONE=0, NCCL_LOG_VERSION=1, NCCL_LOG_WARN=2, NCCL_LOG_INFO=3, NCCL_LOG_ABORT=4, NCCL_LOG_TRACE=5} ncclDebugLogLevel;
typedef enum {NCCL_INIT=1, NCCL_COLL=2, NCCL_P2P=4, NCCL_SHM=8, NCCL_NET=16, NCCL_GRAPH=32, NCCL_TUNING=64, NCCL_ENV=128, NCCL_ALLOC=256, NCCL_CALL=512, NCCL_PROXY=1024, NCCL_NVLS=2048, NCCL_ALL=~0} ncclDebugLogSubSys;
typedef void (*ncclDebugLogger_t)(ncclDebugLogLevel level, unsigned long flags, const char *file, int line, const char *fmt, ...);
#define NCCL_NUM_FUNCTIONS 5 // Send/Recv and AllToAllPivot not included for now
typedef enum { ncclFuncBroadcast, ncclFuncReduce, ncclFuncAllGather, ncclFuncReduceScatter, ncclFuncAllReduce, ncclFuncSendRecv, ncclFuncSend, ncclFuncRecv, ncclFuncAllToAllPivot, ncclNumFuncs} ncclFunc_t;
#define FUNC_INDEX_P2P 835
#define FUNC_INDEX_ALLTOALL_PIVOT 555
#define FUNC_INDEX_TOTAL 846
#define NCCL_NUM_ALGORITHMS 6 // Tree/Ring/CollNet*
#define NCCL_ALGO_UNDEF -1
#define NCCL_ALGO_TREE 0
#define NCCL_ALGO_RING 1
#define NCCL_ALGO_COLLNET_DIRECT 2
#define NCCL_ALGO_COLLNET_CHAIN 3
#define NCCL_ALGO_NVLS 4
#define NCCL_ALGO_NVLS_TREE 5
#define NCCL_NUM_PROTOCOLS 3 // Simple/LL/LL128
#define NCCL_PROTO_UNDEF -1
#define NCCL_PROTO_LL 0
#define NCCL_PROTO_LL128 1
#define NCCL_PROTO_SIMPLE 2
#endif
projects/rccl/src/include/nccl_net.h
+124 -104
Melihat File
@@ -8,6 +8,8 @@
#define NCCL_NET_H_
#include "nccl.h"
#include "nccl_common.h"
#include "net_device.h"
#include <stdint.h>
#define NCCL_NET_HANDLE_MAXSIZE 128
@@ -17,13 +19,89 @@
#define NCCL_PTR_DMABUF 0x4
// Maximum number of requests per comm object
#define NCCL_NET_MAX_REQUESTS 8
#define NCCL_NET_MAX_REQUESTS 32
typedef enum {NCCL_LOG_NONE=0, NCCL_LOG_VERSION=1, NCCL_LOG_WARN=2, NCCL_LOG_INFO=3, NCCL_LOG_ABORT=4, NCCL_LOG_TRACE=5} ncclDebugLogLevel;
typedef enum {NCCL_INIT=1, NCCL_COLL=2, NCCL_P2P=4, NCCL_SHM=8, NCCL_NET=16, NCCL_GRAPH=32, NCCL_TUNING=64, NCCL_ENV=128, NCCL_ALLOC=256, NCCL_CALL=512, NCCL_PROXY=1024, NCCL_NVLS=2048, NCCL_ALL=~0} ncclDebugLogSubSys;
typedef struct {
char* name; // Used mostly for logging.
char* pciPath; // Path to the PCI device in /sys.
uint64_t guid; // Unique identifier for the NIC chip. Important for
// cards with multiple PCI functions (Physical or virtual).
int ptrSupport; // [NCCL_PTR_HOST|NCCL_PTR_CUDA|NCCL_PTR_DMABUF]
int speed; // Port speed in Mbps.
int port; // Port number.
float latency; // Network latency
int maxComms; // Maximum number of comms we can create
int maxRecvs; // Maximum number of grouped receives.
ncclNetDeviceType netDeviceType; // Network offload type
int netDeviceVersion; // Version number for network offload
} ncclNetProperties_v7_t;
typedef void (*ncclDebugLogger_t)(ncclDebugLogLevel level, unsigned long flags, const char *file, int line, const char *fmt, ...);
typedef ncclNetProperties_v7_t ncclNetProperties_t;
typedef struct {
// Name of the network (mainly for logs)
const char* name;
// Initialize the network.
ncclResult_t (*init)(ncclDebugLogger_t logFunction);
// Return the number of adapters.
ncclResult_t (*devices)(int* ndev);
// Get various device properties.
ncclResult_t (*getProperties)(int dev, ncclNetProperties_v7_t* props);
// Create a receiving object and provide a handle to connect to it. The
// handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged
// between ranks to create a connection.
ncclResult_t (*listen)(int dev, void* handle, void** listenComm);
// Connect to a handle and return a sending comm object for that peer.
// This call must not block for the connection to be established, and instead
// should return successfully with sendComm == NULL with the expectation that
// it will be called again until sendComm != NULL.
// If *sendDevComm points to a valid object, then NCCL is requesting device offload for this connection
ncclResult_t (*connect)(int dev, void* handle, void** sendComm, ncclNetDeviceHandle_v7_t** sendDevComm);
// Finalize connection establishment after remote peer has called connect.
// This call must not block for the connection to be established, and instead
// should return successfully with recvComm == NULL with the expectation that
// it will be called again until recvComm != NULL.
// If *recvDevComm points to a valid object, then NCCL is requesting device offload for this connection
ncclResult_t (*accept)(void* listenComm, void** recvComm, ncclNetDeviceHandle_v7_t** recvDevComm);
// Register/Deregister memory. Comm can be either a sendComm or a recvComm.
// Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA.
ncclResult_t (*regMr)(void* comm, void* data, int size, int type, void** mhandle);
/* DMA-BUF support */
ncclResult_t (*regMrDmaBuf)(void* comm, void* data, size_t size, int type, uint64_t offset, int fd, void** mhandle);
ncclResult_t (*deregMr)(void* comm, void* mhandle);
// Asynchronous send to a peer.
// May return request == NULL if the call cannot be performed (or would block)
ncclResult_t (*isend)(void* sendComm, void* data, int size, int tag, void* mhandle, void** request);
// Asynchronous recv from a peer.
// May return request == NULL if the call cannot be performed (or would block)
ncclResult_t (*irecv)(void* recvComm, int n, void** data, int* sizes, int* tags, void** mhandles, void** request);
// Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is
// visible to the GPU
ncclResult_t (*iflush)(void* recvComm, int n, void** data, int* sizes, void** mhandles, void** request);
// Test whether a request is complete. If size is not NULL, it returns the
// number of bytes sent/received.
ncclResult_t (*test)(void* request, int* done, int* sizes);
// Close and free send/recv comm objects
ncclResult_t (*closeSend)(void* sendComm);
ncclResult_t (*closeRecv)(void* recvComm);
ncclResult_t (*closeListen)(void* listenComm);
// Copy the given mhandle to a dptr in a format usable by this plugin's device code
ncclResult_t (*getDeviceMr)(void* comm, void* mhandle, void** dptr_mhandle);
// Notify the plugin that a recv has completed by the device
ncclResult_t (*irecvConsumed)(void* recvComm, int n, void* request);
} ncclNet_v7_t;
typedef ncclNet_v7_t ncclNet_t;
#define NCCL_NET_PLUGIN_SYMBOL ncclNetPlugin_v7
#define NCCL_COLLNET_PLUGIN_SYMBOL ncclCollNetPlugin_v7
#define NCCL_NET_MAX_REQUESTS_V6 8
// v6 struct for backwards compatibility
typedef struct {
char* name; // Used mostly for logging.
char* pciPath; // Path to the PCI device in /sys.
@@ -35,9 +113,7 @@ typedef struct {
float latency; // Network latency
int maxComms; // Maximum number of comms we can create
int maxRecvs; // Maximum number of grouped receives.
}ncclNetProperties_v6_t;
typedef ncclNetProperties_v6_t ncclNetProperties_t;
} ncclNetProperties_v6_t;
typedef struct {
// Name of the network (mainly for logs)
@@ -86,10 +162,49 @@ typedef struct {
ncclResult_t (*closeListen)(void* listenComm);
} ncclNet_v6_t;
typedef ncclNet_v6_t ncclNet_t;
typedef struct {
// Name of the collective network (mainly for logs)
const char* name;
// Initialize the collective network.
ncclResult_t (*init)(ncclDebugLogger_t logFunction);
// Return the number of adapters capable of doing collective operations.
// If ndev returns 0, all other functions might be set to NULL.
ncclResult_t (*devices)(int* ndev);
// Get various device properties.
ncclResult_t (*getProperties)(int dev, ncclNetProperties_v7_t* props);
// Create a receiving object and provide a handle to connect to it. The
// handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged
// between ranks to create connections.
ncclResult_t (*listen)(int dev, void* handle, void** listenComm);
// Create a group for collective operations. handles have been created
// using listen() above. rank indicates caller's rank in the collective network.
ncclResult_t (*connect)(void* handles[], int nranks, int rank, void* listenComm, void** collComm);
// Returns whether a reduction operation on a data type is supported.
// 1 for supported, 0 otherwise.
ncclResult_t (*reduceSupport)(ncclDataType_t dataType, ncclRedOp_t redOp, int* supported);
// Register/Deregister memory. Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA.
ncclResult_t (*regMr)(void* collComm, void* data, int size, int type, void** mhandle);
/* DMA-BUF support */
ncclResult_t (*regMrDmaBuf)(void* collComm, void* data, size_t size, int type, uint64_t offset, int fd, void** mhandle);
ncclResult_t (*deregMr)(void* collComm, void* mhandle);
// Performs an asynchronous allreduce operation on the collective group.
// May return request == NULL if the call cannot be performed (or would block).
ncclResult_t (*iallreduce)(void* collComm, void* sendData, void* recvData, int count,
ncclDataType_t dataType, ncclRedOp_t redOp, void* sendMhandle, void* recvMhandle, void** request);
// Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is
// visible to the GPU
ncclResult_t (*iflush)(void* collComm, void* data, int size, void* mhandle, void** request);
// Test whether a request is complete. If size is not NULL, it returns the
// number of bytes sent/received.
ncclResult_t (*test)(void* request, int* done, int* size);
// Close and free collective comm objects
ncclResult_t (*closeColl)(void* collComm);
ncclResult_t (*closeListen)(void* listenComm);
} ncclCollNet_v7_t;
#define NCCL_PLUGIN_SYMBOL ncclNetPlugin_v6
typedef ncclCollNet_v7_t ncclCollNet_t;
// v6 struct for backwards compatibility
typedef struct {
// Name of the collective network (mainly for logs)
const char* name;
@@ -130,10 +245,6 @@ typedef struct {
ncclResult_t (*closeListen)(void* listenComm);
} ncclCollNet_v6_t;
typedef ncclCollNet_v6_t ncclCollNet_t;
#define NCCL_COLLNET_PLUGIN_SYMBOL ncclCollNetPlugin_v6
// v5 struct for backwards compatibility
typedef struct {
// Name of the network (mainly for logs)
@@ -219,95 +330,4 @@ typedef struct {
ncclResult_t (*closeListen)(void* listenComm);
} ncclCollNet_v5_t;
// v4 struct for backwards compatibility
typedef struct {
char* name; // Used mostly for logging.
char* pciPath; // Path to the PCI device in /sys.
uint64_t guid; // Unique identifier for the NIC chip. Important for
// cards with multiple PCI functions (Physical or virtual).
int ptrSupport; // NCCL_PTR_HOST or NCCL_PTR_HOST|NCCL_PTR_CUDA
int speed; // Port speed in Mbps.
int port; // Port number.
int maxComms; // Maximum number of comms we can create
} ncclNetProperties_v4_t;
// v4 struct for backwards compatibility
typedef struct {
// Name of the network (mainly for logs)
const char* name;
// Initialize the network.
ncclResult_t (*init)(ncclDebugLogger_t logFunction);
// Return the number of adapters.
ncclResult_t (*devices)(int* ndev);
// Get various device properties.
ncclResult_t (*getProperties)(int dev, ncclNetProperties_v4_t* props);
// Create a receiving object and provide a handle to connect to it. The
// handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged
// between ranks to create a connection.
ncclResult_t (*listen)(int dev, void* handle, void** listenComm);
// Connect to a handle and return a sending comm object for that peer.
ncclResult_t (*connect)(int dev, void* handle, void** sendComm);
// Finalize connection establishment after remote peer has called connectHandle
ncclResult_t (*accept)(void* listenComm, void** recvComm);
// Register/Deregister memory. Comm can be either a sendComm or a recvComm.
// Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA.
ncclResult_t (*regMr)(void* comm, void* data, int size, int type, void** mhandle);
ncclResult_t (*deregMr)(void* comm, void* mhandle);
// Asynchronous send to a peer.
// May return request == NULL if the call cannot be performed (or would block)
ncclResult_t (*isend)(void* sendComm, void* data, int size, void* mhandle, void** request);
// Asynchronous recv from a peer.
// May return request == NULL if the call cannot be performed (or would block)
ncclResult_t (*irecv)(void* recvComm, void* data, int size, void* mhandle, void** request);
// Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is
// visible to the GPU
ncclResult_t (*iflush)(void* recvComm, void* data, int size, void* mhandle, void** request);
// Test whether a request is complete. If size is not NULL, it returns the
// number of bytes sent/received.
ncclResult_t (*test)(void* request, int* done, int* size);
// Close and free send/recv comm objects
ncclResult_t (*closeSend)(void* sendComm);
ncclResult_t (*closeRecv)(void* recvComm);
ncclResult_t (*closeListen)(void* listenComm);
} ncclNet_v4_t;
// v4 struct for backwards compatibility
typedef struct {
// Name of the collective network (mainly for logs)
const char* name;
// Initialize the collective network.
ncclResult_t (*init)(ncclDebugLogger_t logFunction);
// Return the number of adapters capable of doing collective operations.
// If ndev returns 0, all other functions might be set to NULL.
ncclResult_t (*devices)(int* ndev);
// Get various device properties.
ncclResult_t (*getProperties)(int dev, ncclNetProperties_v4_t* props);
// Create a receiving object and provide a handle to connect to it. The
// handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged
// between ranks to create connections.
ncclResult_t (*listen)(int dev, void* handle, void** listenComm);
// Create a group for collective operations. handles have been created
// using listen() above. rank indicates caller's rank in the collective network.
ncclResult_t (*connect)(void* handles[], int nranks, int rank, void* listenComm, void** collComm);
// Returns whether a reduction operation on a data type is supported.
// 1 for supported, 0 otherwise.
ncclResult_t (*reduceSupport)(ncclDataType_t dataType, ncclRedOp_t redOp, int* supported);
// Register/Deregister memory. Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA.
ncclResult_t (*regMr)(void* collComm, void* data, int size, int type, void** mhandle);
ncclResult_t (*deregMr)(void* collComm, void* mhandle);
// Performs an asynchronous allreduce operation on the collective group.
// May return request == NULL if the call cannot be performed (or would block).
ncclResult_t (*iallreduce)(void* collComm, void* sendData, void* recvData, int count,
ncclDataType_t dataType, ncclRedOp_t redOp, void* sendMhandle, void* recvMhandle, void** request);
// Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is
// visible to the GPU
ncclResult_t (*iflush)(void* collComm, void* data, int size, void* mhandle, void** request);
// Test whether a request is complete. If size is not NULL, it returns the
// number of bytes sent/received.
ncclResult_t (*test)(void* request, int* done, int* size);
// Close and free collective comm objects
ncclResult_t (*closeColl)(void* collComm);
ncclResult_t (*closeListen)(void* listenComm);
} ncclCollNet_v4_t;
#endif // end include guard
projects/rccl/src/include/nccl_tuner.h
+55
Melihat File
@@ -0,0 +1,55 @@
/*************************************************************************
* Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2023, Meta Platforms, Inc. and affiliates.
*
* See LICENSE.txt for license information
************************************************************************/
#ifndef NCCL_TUNER_H_
#define NCCL_TUNER_H_
#include "nccl.h"
#include "nccl_common.h"
// API to be implemented by external tuner
typedef struct {
// Name of the tuner
const char* name;
// Initializes tuner states.
// nRanks: number of ranks in current communicator. Each communicator initialize its own tuner.
// nNodes: number of nodes in current communicator.
// logFunction: a logFunction can be useful to integrate logging together with NCCL core.
ncclResult_t (*init)(size_t nRanks, size_t nNodes, ncclDebugLogger_t logFunction);
// Gets info (algo, protocol, number of ctas and threads) for a given collective.
// Inputs:
// - collType: collective type , e.g., allreduce, allgather…
// - nBytes: collective size in bytes
// - collNetTypeSupport: whether collnet supports this type
// - nvlsTypeSupport: whether nvlink sharp supports this time
// - numPipeOps: number of operations in the group
//
// Outputs:
// - algorithm: selected algorithm to be used for the given collective
// - protocol: selected protocol to be used for the given collective
// - nChannels: number of channels (hence SMs) to be used.
//
// If getCollInfo() does not return ncclSuccess, NCCL will fall back to the
// default tuning for the given collective.
// Also, the plugin is allowed to not set any output, or set only the
// algorithm and protocol, but not only the algorithm or only the protocol.
// Unset fields will be set automatically by NCCL.
ncclResult_t (*getCollInfo)(ncclFunc_t collType, size_t nBytes,
int collNetSupport, int nvlsSupport, int numPipeOps,
int *algorithm, int *protocol, int* nChannels);
// Terminates the plugin and cleans up any resources that the plugin allocated.
ncclResult_t (*destroy)();
} ncclTuner_v1_t;
typedef ncclTuner_v1_t ncclTuner_t;
#define NCCL_TUNER_PLUGIN_SYMBOL "ncclTunerPlugin_v1"
#endif
projects/rccl/src/include/net_device.h
+29
Melihat File
@@ -0,0 +1,29 @@
/*************************************************************************
* Copyright (c) 2023-2023, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#ifndef NCCL_NET_DEVICE_H_
#define NCCL_NET_DEVICE_H_
#define NCCL_NET_DEVICE_INVALID_VERSION 0x0
#define NCCL_NET_MTU_SIZE 4096
// Arbitrary version number - A given NCCL build will only be compatible with a single device networking plugin
// version. NCCL will check the supplied version number from net->getProperties() and compare to its internal version.
#define NCCL_NET_DEVICE_UNPACK_VERSION 0x7
typedef enum {NCCL_NET_DEVICE_HOST=0, NCCL_NET_DEVICE_UNPACK=1} ncclNetDeviceType;
typedef struct {
ncclNetDeviceType netDeviceType; // Network offload type
int netDeviceVersion; // Version number for network offload
void* handle;
size_t size;
int needsProxyProgress;
} ncclNetDeviceHandle_v7_t;
typedef ncclNetDeviceHandle_v7_t ncclNetDeviceHandle_t;
#endif
projects/rccl/src/include/nvmlwrap.h
+6 -1
Melihat File
@@ -160,7 +160,12 @@ typedef union nvmlValue_st
#define NVML_FI_DEV_NVLINK_GET_SPEED 164
#define NVML_FI_DEV_NVLINK_GET_STATE 165
#define NVML_FI_DEV_NVLINK_GET_VERSION 166
#define NVML_FI_MAX 167 //!< One greater than the largest field ID defined above
#define NVML_FI_DEV_C2C_LINK_COUNT 170 //!< Number of C2C Links present on the device
#define NVML_FI_DEV_C2C_LINK_GET_STATUS 171 //!< C2C Link Status 0=INACTIVE 1=ACTIVE
#define NVML_FI_DEV_C2C_LINK_GET_MAX_BW 172 //!< C2C Link Speed in MBps for active links
#define NVML_FI_MAX 173 //!< One greater than the largest field ID defined above
/**
* Information for a Field Value Sample
projects/rccl/src/include/p2p.h
+1 -1
Melihat File
@@ -12,7 +12,7 @@
#define NCCL_P2P_HANDLE_TYPE CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR
typedef struct {
int data; // Currently only support an fd based descriptor
uint64_t data; // Needs to hold a CUmemGenericAllocationHandle for UDS fd support
} ncclCuDesc;
typedef union {
projects/rccl/src/include/param.h
+1
Melihat File
@@ -13,6 +13,7 @@
const char* userHomeDir();
void setEnvFile(const char* fileName);
void initEnv();
const char *ncclGetEnv(const char *name);
void ncclLoadParam(char const* env, int64_t deftVal, int64_t uninitialized, int64_t* cache);
projects/rccl/src/include/proxy.h
+30 -12
Melihat File
@@ -9,10 +9,11 @@
#ifndef NCCL_PROXY_H_
#define NCCL_PROXY_H_
#include "devcomm.h"
#include "device.h"
#include "info.h"
#include "socket.h"
#include "ipcsocket.h"
#include "nccl_net.h"
#include <pthread.h>
#include "shm.h"
#include "p2p.h"
@@ -71,6 +72,8 @@ struct ncclProxySubArgs {
uint64_t end;
void* requests[NCCL_STEPS];
void* profilingEvents[NCCL_STEPS];
void* recvRequestsCache[NCCL_STEPS];
int recvRequestsSubCount;
#if defined(ENABLE_NPKIT) && defined(ENABLE_NPKIT_EVENT_NET_SEND_ENTRY) && defined(ENABLE_NPKIT_EVENT_NET_SEND_EXIT)
int npKitSizesFifo[NCCL_STEPS];
@@ -158,7 +161,7 @@ struct ncclProxyProgressState {
char opsPoolShmSuffix[6];
pthread_t thread;
bool stop;
volatile int stop;
struct ncclProxyPeer** localPeers;
struct ncclSharedNetComms* netComms[NCCL_MAX_NETDEVS];
struct ncclProxyArgs* active;
@@ -169,11 +172,12 @@ struct ncclProxyProgressState {
// Expected proxy response fifo
struct ncclExpectedProxyResponse {
void* opId;
int respSize;
bool done;
void* respBuff;
struct ncclExpectedProxyResponse* next;
void* opId;
int respSize;
bool done;
void* respBuff;
ncclResult_t res;
struct ncclExpectedProxyResponse* next;
};
struct ncclProxyAsyncOp {
@@ -193,7 +197,16 @@ struct ncclProxyLocalPeer {
int asyncOpCounter;
};
// Common response header for all proxyOps
// We pack this into a struct to reduce the number of blocking send and recv calls
struct ncclProxyRpcResponseHeader {
void* opId;
ncclResult_t res;
int respSize;
};
struct ncclProxyState {
int internalRefCount;
int refCount;
int tpRank;
int tpnRanks;
@@ -208,11 +221,13 @@ struct ncclProxyState {
ncclNet_t* ncclNet;
ncclCollNet_t* ncclCollNet;
volatile uint32_t* abortFlag;
volatile uint32_t* abortFlagRefCount;
// Service thread
pthread_t thread;
struct ncclSocket* listenSock;
int stop;
volatile int stop;
CUcontext cudaCtx;
ncclResult_t asyncResult;
// Used by main thread
union ncclSocketAddress* peerAddresses;
@@ -245,8 +260,11 @@ struct ncclProxyConnection {
struct ncclProxyArgs *proxyAppend;
struct ncclProxyArgs **proxyAppendPtr;
void* transportResources;
ncclNetDeviceHandle_t* netDeviceHandle;
void* mhandles[NCCL_NUM_PROTOCOLS];
proxyConnectState state;
struct ncclCollNetSharedRes* collNet;
int needsProxyProgress;
};
typedef ncclResult_t (*threadFunc_t)(struct ncclProxyArgs*);
@@ -272,7 +290,7 @@ enum ncclProxyMsgType {
ncclProxyMsgClose = 6,
ncclProxyMsgAbort = 7,
ncclProxyMsgStop = 8,
ncclProxyMsgConvertFd = 9, // cuMem API support (UDS)
ncclProxyMsgGetFd = 9, // cuMem API support (UDS)
};
// This function is called by a client of the proxy that needs to invoke any of the non-progress proxyOp types
@@ -284,12 +302,12 @@ ncclResult_t ncclProxyCallAsync(struct ncclComm* comm, struct ncclProxyConnector
ncclResult_t ncclProxyCallBlocking(struct ncclComm* comm, struct ncclProxyConnector* proxyConn, int type, void* reqBuff, int reqSize, void* respBuff, int respSize);
ncclResult_t ncclPollProxyResponse(struct ncclComm* comm, struct ncclProxyConnector* proxyConn, void* respBuff, void* opId);
ncclResult_t ncclProxyClientConvertFdBlocking(struct ncclComm* comm, struct ncclProxyConnector* proxyConn, int fd, int* convertedFd);
ncclResult_t ncclProxyClientGetFdBlocking(struct ncclComm* comm, struct ncclProxyConnector* proxyConn, void *handle, int* convertedFd);
ncclResult_t ncclProxyStop(struct ncclComm* comm);
ncclResult_t ncclProxyShmUnlink(struct ncclComm* comm);
ncclResult_t ncclProxyDestroy(struct ncclComm* comm);
ncclResult_t ncclProxyDestroy(struct ncclProxyState *proxyState);
ncclResult_t ncclProxyTryDetach(struct ncclProxyState *proxyState);
ncclResult_t mscclSaveProxy(struct ncclComm* comm, struct ncclChannel* channel, int type, int peer, struct ncclProxyOp* op, int connIndex);
#endif
projects/rccl/src/include/shm.h
+8
Melihat File
@@ -14,4 +14,12 @@ ncclResult_t ncclShmOpen(char* shmPath, size_t shmSize, void** shmPtr, void** de
ncclResult_t ncclShmClose(ncclShmHandle_t handle);
ncclResult_t ncclShmUnlink(ncclShmHandle_t handle);
struct ncclShmemCollBuff {
volatile size_t *cnt[2];
volatile void *ptr[2];
int round;
};
ncclResult_t ncclShmemAllgather(struct ncclComm *comm, struct ncclShmemCollBuff *shmem, void *sendbuff, void *recvbuff, size_t typeSize);
#endif
projects/rccl/src/include/transport.h
+14 -1
Melihat File
@@ -8,7 +8,7 @@
#ifndef NCCL_TRANSPORT_H_
#define NCCL_TRANSPORT_H_
#include "devcomm.h"
#include "device.h"
#include "graph.h"
#include "nvmlwrap.h"
#include "core.h"
@@ -66,6 +66,7 @@ struct ncclNvlsSharedRes {
CUmemGenericAllocationHandle ucHandle; // Unicast Handle for NVLS buffer
char* ucBuff; // Unicast NVLS buffer address
char shareableHandle[NVLS_HANDLE_SIZE];
size_t ucGran;
int nChannels;
};
@@ -103,8 +104,20 @@ struct ncclTransport {
ncclResult_t ncclTransportP2pConnect(struct ncclComm* comm, int channelId, int nrecv, int* peerRecv, int nsend, int* peerSend, int connIndex);
ncclResult_t ncclTransportP2pSetup(struct ncclComm* comm, struct ncclTopoGraph* graph, int connIndex, int* highestTransportType=NULL, bool* needsProxy=NULL);
// Currently we only support POSIX_FILE_DESCRIPTOR handle exchange
#define USE_POSIX_FD 1
#if USE_POSIX_FD
#define NVLS_CU_MEM_HANDLE_TYPE CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR
#else
#define NVLS_CU_MEM_HANDLE_TYPE CU_MEM_HANDLE_TYPE_NONE
#endif
ncclResult_t ncclNvlsInit(struct ncclComm* comm);
ncclResult_t ncclNvlsSetup(struct ncclComm* comm, struct ncclComm* parent);
ncclResult_t ncclNvlsGraphRegisterBuffer(struct ncclComm *comm, struct ncclKernelPlan *plan, const void *sendbuff, void *recvbuff, size_t sendbuffSize, size_t recvbuffSize, bool *outRegBufUsed, void **outRegBufSend, void **outRegBufRecv);
ncclResult_t ncclNvlsLocalRegisterBuffer(struct ncclComm *comm, const void *sendbuff, void *recvbuff, size_t sendbuffSize, size_t recvbuffSize, bool *outRegBufUsed, void **outRegBufSend, void **outRegBufRecv);
ncclResult_t ncclNvlsDeregBuffer(CUmemGenericAllocationHandle *mcHandler, CUdeviceptr ptr, int dev, size_t size);
ncclResult_t ncclNvlsFree(struct ncclComm* comm);
enum { collNetRecv=0, collNetSend=1 };
projects/rccl/src/include/tuner.h
+22
Melihat File
@@ -0,0 +1,22 @@
/*************************************************************************
* Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2023, Meta Platforms, Inc. and affiliates.
*
* See LICENSE.txt for license information
************************************************************************/
#ifndef NCCL_INT_TUNER_H_
#define NCCL_INT_TUNER_H_
#include "nccl_tuner.h"
// Tuning plugin to override NCCL's default algorithm/protocol tuning.
// Attempts to load NCCL tuner from environmental variable.
// Returns ncclSuccess if the correct tuner symbol has been found and
// successully loaded. Otherwise returns an error and also logs the error.
ncclResult_t ncclLoadTunerPlugin(ncclTuner_t** tuner);
// Cleans up NCCL tuner plugin.
ncclResult_t ncclCloseTunerPlugin(ncclTuner_t** tuner);
#endif
projects/rccl/src/include/utils.h
+30 -7
Melihat File
@@ -13,6 +13,7 @@
#include <stdint.h>
#include <time.h>
#include <sched.h>
#include <algorithm>
#include <new>
int ncclCudaCompCap();
@@ -259,11 +260,6 @@ struct ncclMemoryPool {
struct Cell {
Cell *next;
};
template<int Size, int Align>
union CellSized {
Cell cell;
alignas(Align) char space[Size];
};
struct Cell* head;
struct Cell* tail; // meaningful only when head != nullptr
};
@@ -275,14 +271,15 @@ inline void ncclMemoryPoolConstruct(struct ncclMemoryPool* me) {
template<typename T>
inline T* ncclMemoryPoolAlloc(struct ncclMemoryPool* me, struct ncclMemoryStack* backing) {
using Cell = ncclMemoryPool::Cell;
using CellSized = ncclMemoryPool::CellSized<sizeof(T), alignof(T)>;
Cell* cell;
if (__builtin_expect(me->head != nullptr, true)) {
cell = me->head;
me->head = cell->next;
} else {
// Use the internal allocate() since it doesn't memset to 0 yet.
cell = (Cell*)ncclMemoryStack::allocate(backing, sizeof(CellSized), alignof(CellSized));
size_t cellSize = std::max(sizeof(Cell), sizeof(T));
size_t cellAlign = std::max(alignof(Cell), alignof(T));
cell = (Cell*)ncclMemoryStack::allocate(backing, cellSize, cellAlign);
}
memset(cell, 0, sizeof(T));
return reinterpret_cast<T*>(cell);
@@ -349,6 +346,32 @@ inline T* ncclIntruQueueDequeue(ncclIntruQueue<T,next> *me) {
return ans;
}
template<typename T, T *T::*next>
inline bool ncclIntruQueueDelete(ncclIntruQueue<T,next> *me, T *x) {
T *prev = nullptr;
T *cur = me->head;
bool found = false;
while (cur) {
if (cur == x) {
found = true;
break;
}
prev = cur;
cur = cur->*next;
}
if (found) {
if (prev == nullptr)
me->head = cur->*next;
else
prev->*next = cur->*next;
if (cur == me->tail)
me->tail = prev;
}
return found;
}
template<typename T, T *T::*next>
inline T* ncclIntruQueueTryDequeue(ncclIntruQueue<T,next> *me) {
T *ans = me->head;
projects/rccl/src/init.cc
+282 -26
Melihat File
@@ -18,11 +18,12 @@
#include "enqueue.h"
#include "graph.h"
#include "argcheck.h"
#include "devcomm.h"
#include "device.h"
#include "collectives.h"
#if defined(ENABLE_NPKIT)
#include "npkit/npkit.h"
#endif
#include "tuner.h"
#include <fcntl.h>
#include <unistd.h>
#include <hip/hip_runtime.h>
@@ -37,6 +38,7 @@
#include "graph/topo.h"
#include "graph/xml.h"
#include "archinfo.h"
#include "param.h"
// [RCCL]
#include "git_version.h"
@@ -60,7 +62,7 @@
const char* ncclFuncStr[NCCL_NUM_FUNCTIONS+2] = { "AllGather", "AllReduce", "AllToAllPivot", "Broadcast", "Reduce", "ReduceScatter", "SendRecv"};
const char* ncclAlgoStr[NCCL_NUM_ALGORITHMS] = { "Tree", "Ring", "CollNetDirect", "CollNetChain", "NVLS", "NVLSTree" };
const char* ncclProtoStr[NCCL_NUM_PROTOCOLS] = { "LL", "LL128", "Simple" };
const char* ncclDevRedOpStr[ncclNumDevRedOps] = { "Sum", "Prod", "Max", "Min", "PreMulSum", "SumPostDiv" };
const char* ncclDevRedOpStr[ncclNumDevRedOps] = { "Sum", "Prod", "MinMax", "PreMulSum", "SumPostDiv" };
const char *ncclTypeStr[ncclNumTypes] = {"_i8", "_u8", "_i32", "_u32", "_i64", "_u64", "_f16", "_f32", "_f64", "_b16"};
NCCL_PARAM(GroupCudaStream, "GROUP_CUDA_STREAM", NCCL_GROUP_CUDA_STREAM);
@@ -213,7 +215,7 @@ void *ncclCommThreadMain(void *arg) {
(double)(td->timeStamp)/vega_gpu_rtc_freq, comm->rank, td->bid,
fIdx, td->data_0, td->opCount, td->data_1);
} else {
if (fIdx == ncclFuncId_P2p() || type == ncclCollTraceP2pElemType)
if (fIdx == ncclDevFuncId_P2p() || type == ncclCollTraceP2pElemType)
sprintf(line, "## [%012.6f] [%02d:%02d] %06x-%06x", (double)(td->timeStamp)/vega_gpu_rtc_freq, comm->rank, td->bid, td->p2pOpCount[0], td->p2pOpCount[1]);
else
sprintf(line, "## [%012.6f] [%02d:%02d] %06lx", (double)(td->timeStamp)/vega_gpu_rtc_freq, comm->rank, td->bid, td->opCount);
@@ -323,7 +325,13 @@ static ncclResult_t commFree(ncclComm_t comm) {
* free all intra-process communicators; therefore, we only need to focus on local
* resource cleanup in commFree(). */
if (comm->proxyState && comm->proxyRefCountOld == 0 && comm->proxyState->thread) {
pthread_join(comm->proxyState->thread, nullptr);
if (*comm->abortFlag == 0) {
/* regular thread join */
pthread_join(comm->proxyState->thread, nullptr);
} else {
/* try to detach thread due to abort */
ncclProxyTryDetach(comm->proxyState);
}
}
delete[] comm->userRedOps;
@@ -384,7 +392,7 @@ static ncclResult_t commFree(ncclComm_t comm) {
free(comm->sharedRes->tpRankToLocalRank);
NCCLCHECK(ncclStrongStreamDestruct(&comm->sharedRes->hostStream));
NCCLCHECK(ncclStrongStreamDestruct(&comm->sharedRes->deviceStream));
NCCLCHECK(ncclProxyDestroy(comm));
NCCLCHECK(ncclProxyDestroy(comm->sharedRes->proxyState));
free(comm->sharedRes);
}
}
@@ -405,13 +413,25 @@ static ncclResult_t commFree(ncclComm_t comm) {
if (ncclAtomicRefCountDecrement(comm->abortFlagRefCount) == 0) {
NCCLCHECK(ncclCudaHostFree((void *)comm->abortFlag));
free(comm->abortFlagRefCount);
free((void*)comm->abortFlagRefCount);
}
free((void*)comm->config.netName);
free(comm->topParentRanks);
free(comm->topParentLocalRanks);
while (!ncclIntruQueueEmpty(&comm->regRecordQueue)) {
struct ncclRegRecord* rec = ncclIntruQueueDequeue(&comm->regRecordQueue);
NCCLCHECK(ncclNvlsDeregBuffer(&rec->mcHandle, rec->regAddr, rec->dev, rec->regSize));
free(rec->addrs);
free(rec);
}
while (!ncclIntruQueueEmpty(&comm->regRequestQueue)) {
struct ncclRegRequest* req = ncclIntruQueueDequeue(&comm->regRequestQueue);
free(req);
}
commPoison(comm); // poison comm before free to avoid comm reuse.
free(comm);
@@ -456,7 +476,7 @@ ncclResult_t ncclCommEnsureReady(ncclComm_t comm) {
ncclResult_t ret = ncclSuccess;
if (*comm->abortFlag) {
ncclGroupJobAbort();
ncclGroupJobAbort(comm->groupJob);
} else {
NCCLCHECK(ncclCommGetAsyncError(comm, &ret));
if (ret != ncclSuccess) {
@@ -465,6 +485,11 @@ ncclResult_t ncclCommEnsureReady(ncclComm_t comm) {
if (ret == ncclInProgress) ret = ncclInvalidArgument;
goto exit;
}
/* if there is linked group job, we should complete it. */
if (comm->groupJob) {
NCCLCHECK(ncclGroupJobComplete(comm->groupJob));
comm->groupJob = NULL;
}
}
exit:
@@ -534,6 +559,7 @@ static ncclResult_t commAlloc(struct ncclComm* comm, struct ncclComm* parent, in
ncclMemoryPoolConstruct(&comm->memPool_ncclKernelPlan);
ncclMemoryPoolConstruct(&comm->memPool_ncclProxyOp);
ncclMemoryPoolConstruct(&comm->memPool_ncclPointerList);
ncclMemoryPoolConstruct(&comm->memPool_ncclNvlsHandleList);
comm->groupNext = reinterpret_cast<struct ncclComm*>(0x1);
comm->preconnectNext = reinterpret_cast<struct ncclComm*>(0x1);
@@ -570,6 +596,8 @@ static ncclResult_t commAlloc(struct ncclComm* comm, struct ncclComm* parent, in
comm->topParentRanks[i] = i;
}
ncclIntruQueueConstruct(&comm->regRequestQueue);
ncclIntruQueueConstruct(&comm->regRecordQueue);
ncclIntruQueueMpscConstruct(&comm->callbackQueue);
return ncclSuccess;
}
@@ -590,6 +618,7 @@ static ncclResult_t devCommSetup(ncclComm_t comm) {
for (int p=0; p < NCCL_NUM_PROTOCOLS; p++) {
tmpCommAndChans.comm.buffSizes[p] = comm->buffSizes[p];
}
tmpCommAndChans.comm.p2pChunkSize = comm->p2pChunkSize;
tmpCommAndChans.comm.channels = &devCommAndChans->channels[0];
comm->workFifoDepth = ncclParamWorkFifoDepth();
@@ -734,7 +763,6 @@ static ncclResult_t setupChannel(struct ncclComm* comm, int channelId, int rank,
#define DEFAULT_LL_BUFFSIZE (NCCL_LL_LINES_PER_THREAD*NCCL_LL_MAX_NTHREADS*NCCL_STEPS*sizeof(union ncclLLFifoLine))
#define DEFAULT_LL128_BUFFSIZE (NCCL_LL128_ELEMS_PER_THREAD*NCCL_LL128_MAX_NTHREADS*NCCL_STEPS*sizeof(uint64_t))
#define DEFAULT_BUFFSIZE (1 << 22) /* 4MiB */
#define DEFAULT_BUFFSIZE_ARM (1 << 20) /* 1MiB */
NCCL_PARAM(BuffSize, "BUFFSIZE", -2);
NCCL_PARAM(LlBuffSize, "LL_BUFFSIZE", -2);
NCCL_PARAM(Ll128BuffSize, "LL128_BUFFSIZE", -2);
@@ -750,8 +778,6 @@ static ncclResult_t computeBuffSizes(struct ncclComm* comm) {
int64_t envs[NCCL_NUM_PROTOCOLS] = { ncclParamLlBuffSize(), ncclParamLl128BuffSize(), ncclParamBuffSize() };
int defaults[NCCL_NUM_PROTOCOLS] = { DEFAULT_LL_BUFFSIZE, DEFAULT_LL128_BUFFSIZE, DEFAULT_BUFFSIZE };
if (cpuArch == NCCL_TOPO_CPU_ARCH_ARM) defaults[NCCL_PROTO_SIMPLE] = DEFAULT_BUFFSIZE_ARM;
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
comm->buffSizes[p] = envs[p] != -2 ? envs[p] : defaults[p];
}
@@ -759,6 +785,10 @@ static ncclResult_t computeBuffSizes(struct ncclComm* comm) {
if (comm->nNodes > 1) comm->p2pChunkSize = ncclParamP2pNetChunkSize();
else if (ncclTopoPathAllNVLink(comm->topo)) comm->p2pChunkSize = ncclParamP2pNvlChunkSize();
else comm->p2pChunkSize = ncclParamP2pPciChunkSize();
// Make sure P2P chunksize is not larger than coll chunksize.
if (comm->p2pChunkSize * NCCL_STEPS > comm->buffSizes[NCCL_PROTO_SIMPLE]) comm->p2pChunkSize = comm->buffSizes[NCCL_PROTO_SIMPLE]/NCCL_STEPS;
if (comm->sharedRes->owner != comm) {
/* make sure split comm p2pChunkSize won't exceed shared p2pChunkSize. */
comm->p2pChunkSize = std::min(comm->p2pChunkSize, comm->sharedRes->tpP2pChunkSize);
@@ -840,7 +870,7 @@ static ncclResult_t collNetTrySetup(ncclComm_t comm, ncclComm_t parent, struct n
if (share) {
if (myinfo->isMaster) {
comm->collNetSharedRes = parent->collNetSharedRes;
comm->collNetChannels = std::min(std::max(comm->nChannels, comm->nvlsChannels), parent->collNetSharedRes->nChannels);
comm->collNetChannels = std::min(comm->nChannels, parent->collNetSharedRes->nChannels);
for (int c = 0; c < comm->collNetChannels; ++c)
NCCLCHECKGOTO(initCollnetChannel(comm, c, parent, true), ret, fail);
}
@@ -859,8 +889,7 @@ static ncclResult_t collNetTrySetup(ncclComm_t comm, ncclComm_t parent, struct n
} else {
/* this allocated buffer will be freed on proxy side */
NCCLCHECK(ncclCalloc(&comm->collNetSharedRes, 1));
/* TODO: min or max? */
comm->collNetChannels = comm->collNetSharedRes->nChannels = std::max(comm->nChannels, comm->nvlsChannels);
comm->collNetChannels = comm->collNetSharedRes->nChannels = comm->nChannels;
comm->collNetSharedRes->buffSize = comm->buffSizes[NCCL_PROTO_SIMPLE];
for (int c = 0; c < comm->collNetChannels; c++) {
struct ncclChannel* channel = comm->channels + c;
@@ -1046,6 +1075,8 @@ static ncclResult_t initTransportsRank(struct ncclComm* comm, struct ncclComm* p
int intraProcRank0 = -1, intraProcRank = -1, intraProcRanks = 0;
for (int i = 0; i < nranks; i++) comm->minCompCap = std::min(comm->minCompCap, comm->peerInfo[rank].cudaCompCap);
for (int i = 0; i < nranks; i++) comm->maxCompCap = std::max(comm->maxCompCap, comm->peerInfo[rank].cudaCompCap);
comm->nvlsRegSupport = 1;
for (int i = 0; i < nranks; i++) {
if ((comm->peerInfo[i].hostHash == comm->peerInfo[rank].hostHash)
&& (comm->peerInfo[i].pidHash == comm->peerInfo[rank].pidHash)) {
@@ -1058,6 +1089,16 @@ static ncclResult_t initTransportsRank(struct ncclComm* comm, struct ncclComm* p
comm->intraNext = comm->peerInfo[i].comm;
}
}
if (comm->nvlsRegSupport) {
for (int j = i + 1; j < nranks; j++) {
if (comm->peerInfo[i].hostHash == comm->peerInfo[j].hostHash &&
comm->peerInfo[i].pidHash == comm->peerInfo[j].pidHash) {
comm->nvlsRegSupport = 0;
break;
}
}
}
}
TRACE(NCCL_INIT,"pidHash[%d] %lx intraProcRank %d intraProcRanks %d intraProcRank0 %d",
rank, comm->peerInfo[rank].pidHash, intraProcRank, intraProcRanks, intraProcRank0);
@@ -1114,7 +1155,7 @@ static ncclResult_t initTransportsRank(struct ncclComm* comm, struct ncclComm* p
// Determine local CollNet support
if (collNetSupport(comm)) {
char *collNetEnable = getenv("NCCL_COLLNET_ENABLE");
const char *collNetEnable = ncclGetEnv("NCCL_COLLNET_ENABLE");
if (collNetEnable != NULL) {
INFO(NCCL_ALL, "NCCL_COLLNET_ENABLE set by environment to %s.", collNetEnable);
if (strcmp(collNetEnable, "1") == 0) {
@@ -1127,14 +1168,15 @@ static ncclResult_t initTransportsRank(struct ncclComm* comm, struct ncclComm* p
NCCLCHECK(ncclNvlsInit(comm));
// Get rings and trees
memset(&ringGraph, 0, sizeof(struct ncclTopoGraph));
ringGraph.id = 0;
ringGraph.pattern = NCCL_TOPO_PATTERN_RING;
ringGraph.collNet = 0;
ringGraph.minChannels = 1;
ringGraph.maxChannels = MAXCHANNELS/2;
NCCLCHECKGOTO(ncclTopoCompute(comm->topo, &ringGraph), ret, fail);
NCCLCHECKGOTO(ncclTopoPrintGraph(comm->topo, &ringGraph), ret, fail);
memset(&treeGraph, 0, sizeof(struct ncclTopoGraph));
treeGraph.id = 1;
treeGraph.pattern = NCCL_TOPO_PATTERN_BALANCED_TREE;
treeGraph.collNet = 0;
@@ -1143,6 +1185,7 @@ static ncclResult_t initTransportsRank(struct ncclComm* comm, struct ncclComm* p
NCCLCHECKGOTO(ncclTopoCompute(comm->topo, &treeGraph), ret, fail);
NCCLCHECKGOTO(ncclTopoPrintGraph(comm->topo, &treeGraph), ret, fail);
memset(&collNetGraph, 0, sizeof(struct ncclTopoGraph));
collNetGraph.id = 2;
collNetGraph.pattern = NCCL_TOPO_PATTERN_TREE;
collNetGraph.collNet = 1;
@@ -1150,20 +1193,16 @@ static ncclResult_t initTransportsRank(struct ncclComm* comm, struct ncclComm* p
if (comm->collNetSupport) {
NCCLCHECKGOTO(ncclTopoCompute(comm->topo, &collNetGraph), ret, fail);
NCCLCHECKGOTO(ncclTopoPrintGraph(comm->topo, &collNetGraph), ret, fail);
} else {
collNetGraph.nChannels = 0;
}
memset(&nvlsGraph, 0, sizeof(struct ncclTopoGraph));
nvlsGraph.id = 3;
nvlsGraph.pattern = NCCL_TOPO_PATTERN_NVLS;
nvlsGraph.collNet = 0;
nvlsGraph.minChannels = 1;
nvlsGraph.maxChannels = MAXCHANNELS;
if (comm->nvlsSupport) {
NCCLCHECKGOTO(ncclTopoCompute(comm->topo, &nvlsGraph), ret, fail);
NCCLCHECKGOTO(ncclTopoPrintGraph(comm->topo, &nvlsGraph), ret, fail);
} else {
nvlsGraph.nChannels = 0;
}
bool allXgmi, hasPeerAccess;
@@ -1469,7 +1508,7 @@ static ncclResult_t initTransportsRank(struct ncclComm* comm, struct ncclComm* p
int sendNode = (node+delta)%nNodes;
for (int step=0; step < steps; step++) {
int recvIndex = (localRank-step+steps)%steps;
int recvRank = recvIndex < nodeRanks[recvNode].localRanks ? nodeRanks[recvNode].localRankToRank[recvIndex] : -1;
int recvRank = recvIndex < nodeRanks[recvNode].localRanks ? nodeRanks[recvNode].localRankToRank[recvIndex] : -1;
tasks->p2pRecvOrder[i] = recvRank;
int sendIndex = (localRank+step)%steps;
int sendRank = sendIndex < nodeRanks[sendNode].localRanks ? nodeRanks[sendNode].localRankToRank[sendIndex] : -1;
@@ -1530,7 +1569,7 @@ static ncclResult_t initTransportsRank(struct ncclComm* comm, struct ncclComm* p
}
if (comm->intraRank == 0) { // Load ncclParamLaunchMode
char* str = getenv("NCCL_LAUNCH_MODE");
const char* str = ncclGetEnv("NCCL_LAUNCH_MODE");
enum ncclLaunchMode mode, modeOld;
if (str && strcasecmp(str, "GROUP") == 0) {
mode = ncclLaunchModeGroup;
@@ -1714,6 +1753,11 @@ static ncclResult_t ncclCommInitRankFunc(struct ncclAsyncJob* job_) {
NCCLCHECKGOTO(initTransportsRank(comm, job->parent), res, fail);
NCCLCHECKGOTO(ncclLoadTunerPlugin(&comm->tuner), res, fail);
if (comm->tuner) {
NCCLCHECK(comm->tuner->init(comm->nRanks, comm->nNodes, ncclDebugLog));
}
// update communicator state
comm->initState = ncclSuccess;
@@ -1782,7 +1826,7 @@ static ncclResult_t envConfigOverride(ncclComm_t comm) {
comm->config.maxCTAs = maxCTAsEnv;
}
envNetName = getenv("NCCL_NET");
envNetName = ncclGetEnv("NCCL_NET");
if (envNetName)
tmpNetName = envNetName;
if (tmpNetName != NULL) {
@@ -1917,7 +1961,7 @@ static ncclResult_t ncclCommInitRankDev(ncclComm_t* newcomm, int nranks, ncclUni
ncclResult_t res = ncclSuccess;
ncclComm_t comm = NULL;
struct ncclCommInitRankAsyncJob *job = NULL;
char* env = getenv("NCCL_COMM_ID");
const char* env = ncclGetEnv("NCCL_COMM_ID");
if (env && myrank == 0) {
INFO(NCCL_ENV, "NCCL_COMM_ID set by environment to %s", env);
NCCLCHECKGOTO(bootstrapCreateRoot((struct ncclBootstrapHandle*)&commId, true), res, fail);
@@ -1960,7 +2004,7 @@ exit:
fail:
if (comm) {
if (comm->abortFlag) ncclCudaHostFree((void *)comm->abortFlag);
if (comm->abortFlagRefCount) free(comm->abortFlagRefCount);
if (comm->abortFlagRefCount) free((void*)comm->abortFlagRefCount);
free(comm);
}
if (newcomm) *newcomm = NULL;
@@ -2136,6 +2180,11 @@ static ncclResult_t commCleanup(ncclComm_t comm) {
CUDACHECK(cudaSetDevice(commDevice));
}
if (comm->tuner != NULL) {
NCCLCHECK(comm->tuner->destroy());
NCCLCHECK(ncclCloseTunerPlugin(&comm->tuner));
}
NCCLCHECK(commFree(comm));
if (savedDevice != commDevice) {
@@ -2365,6 +2414,7 @@ ncclResult_t ncclCommSplit(ncclComm_t comm, int color, int key, ncclComm_t *newc
NCCLCHECK(ncclGroupStartInternal());
NCCLCHECKGOTO(PtrCheck(comm, "CommSplit", "comm"), res, fail);
NCCLCHECKGOTO(PtrCheck(newcomm, "CommSplit", "newcomm"), res, fail);
NCCLCHECKGOTO(ncclCommEnsureReady(comm), res, fail);
/* *newcomm should be NCCL_COMM_NULL until comm split fully complete. */
*newcomm = NCCL_COMM_NULL;
@@ -2411,7 +2461,7 @@ fail:
if (childComm) {
if (comm && !comm->config.splitShare) {
if (childComm->abortFlag) ncclCudaHostFree((void*)childComm->abortFlag);
if (childComm->abortFlagRefCount) free(childComm->abortFlagRefCount);
if (childComm->abortFlagRefCount) free((void*)childComm->abortFlagRefCount);
}
free(childComm);
}
@@ -2448,6 +2498,7 @@ ncclResult_t ncclCommGetAsyncError(ncclComm_t comm, ncclResult_t *asyncError) {
NCCLCHECK(PtrCheck(asyncError, "ncclGetAsyncError", "asyncError"));
*asyncError = __atomic_load_n(&comm->asyncResult, __ATOMIC_ACQUIRE);
if (*asyncError == ncclSuccess && comm->proxyState) *asyncError = __atomic_load_n(&comm->proxyState->asyncResult, __ATOMIC_ACQUIRE);
return ncclSuccess;
}
@@ -2490,3 +2541,208 @@ ncclResult_t ncclCommUserRank(const ncclComm_t comm, int* rank) {
*rank = comm->rank;
return ncclSuccess;
}
NCCL_PARAM(LocalRegister, "LOCAL_REGISTER", 1);
NCCL_API(ncclResult_t, ncclCommRegister, const ncclComm_t comm, void* buff, size_t size, void** handle);
ncclResult_t ncclCommRegister(const ncclComm_t comm, void* buff, size_t size, void** handle) {
NVTX3_FUNC_RANGE_IN(nccl_domain);
ncclResult_t ret = ncclSuccess;
#if CUDART_VERSION >= 12010
size_t granularity;
if (ncclParamLocalRegister()) {
if (comm == NCCL_COMM_NULL || buff == NULL || handle == NULL || size == 0) {
WARN("Invalid arguments comm %p, buff %p, size %ld, handle %p", comm, buff, size, handle);
ret = ncclInvalidArgument;
} else if (comm->nvlsSupport) {
CUmulticastObjectProp prop = comm->nvlsResources->properties;
prop.size = size;
CUCHECK(cuMulticastGetGranularity(&granularity, &prop, CU_MULTICAST_GRANULARITY_RECOMMENDED));
if ((uintptr_t)buff % comm->nvlsResources->ucGran == 0 && size % granularity == 0) {
/* we can direct register what user provide */
struct ncclRegRequest* req;
NCCLCHECK(ncclCalloc(&req, 1));
req->buff = (uintptr_t)buff;
req->size = size;
ncclIntruQueueEnqueue(&comm->regRequestQueue, req);
*handle = (void*)req;
} else {
void* base;
size_t baseSize;
/* Since we don't provide actually allocated buffer size for users by ncclMemAlloc,
* therefore, we need to get the full range of the buffer by cuMemGetAddressRange to
* register buffers. */
CUCHECK(cuMemGetAddressRange((CUdeviceptr*)&base, &baseSize, (CUdeviceptr)buff));
if ((uintptr_t)base % comm->nvlsResources->ucGran == 0 && baseSize % granularity == 0) {
struct ncclRegRequest* req;
NCCLCHECK(ncclCalloc(&req, 1));
req->buff = (uintptr_t)base;
req->size = baseSize;
ncclIntruQueueEnqueue(&comm->regRequestQueue, req);
*handle = (void*)req;
} else {
WARN("register fails, buffer %p (aligned %s, granularity %ld) and size %ld (aligned %s, granularity %ld) for registration", buff, (uintptr_t)buff % comm->nvlsResources->ucGran == 0 ? "TRUE" : "FALSE", comm->nvlsResources->ucGran, size, size % granularity == 0 ? "TRUE" : "FALSE", granularity);
ret = ncclInvalidArgument;
}
}
}
}
#endif
return ret;
}
NCCL_API(ncclResult_t, ncclCommDeregister, const ncclComm_t comm, void* handle);
ncclResult_t ncclCommDeregister(const ncclComm_t comm, void* handle) {
ncclResult_t ret = ncclSuccess;
#if CUDART_VERSION >= 12010
struct ncclRegRequest* dreq = (struct ncclRegRequest*)handle;
if (ncclParamLocalRegister()) {
if (comm == NCCL_COMM_NULL || handle == NULL) {
WARN("Invalid arguments comm %p, handle %p", comm, handle);
ret = ncclInvalidArgument;
} else {
struct ncclRegRecord* rec;
/* first release register record */
rec = ncclIntruQueueHead(&comm->regRecordQueue);
while (rec) {
if (rec->buff == dreq->buff && rec->size == dreq->size) {
NCCLCHECK(ncclNvlsDeregBuffer(&rec->mcHandle, rec->regAddr, rec->dev, rec->regSize));
ncclIntruQueueDelete(&comm->regRecordQueue, rec);
free(rec->addrs);
free(rec);
break;
}
rec = rec->next;
}
/* then free register request */
if (ncclIntruQueueDelete(&comm->regRequestQueue, dreq) == false) {
WARN("Invalid handle %p", handle);
ret = ncclInvalidArgument;
}
}
}
#endif
return ret;
}
NCCL_API(ncclResult_t, ncclMemAlloc, void **ptr, size_t size);
ncclResult_t ncclMemAlloc(void **ptr, size_t size) {
NVTX3_FUNC_RANGE_IN(nccl_domain);
ncclResult_t ret = ncclSuccess;
#if CUDART_VERSION >= 12010
size_t memGran = 0;
size_t mcGran = 0;
CUdevice currentDev;
CUmemAllocationProp memprop = {};
CUmulticastObjectProp mcprop = {};
CUmemAccessDesc accessDesc = {};
CUmemGenericAllocationHandle handle;
int cudaDev;
int flag = 0;
int dcnt;
int mcSupport = 0;
if (ptr == NULL || size == 0) goto fallback;
if (ncclCudaLibraryInit() != ncclSuccess) goto fallback;
CUDACHECK(cudaGetDevice(&cudaDev));
CUCHECK(cuDeviceGet(&currentDev, cudaDev));
if (CUPFN(cuMulticastCreate) != NULL)
CUCHECK(cuDeviceGetAttribute(&mcSupport, CU_DEVICE_ATTRIBUTE_MULTICAST_SUPPORTED, currentDev));
if (mcSupport) {
memprop.type = CU_MEM_ALLOCATION_TYPE_PINNED;
memprop.location.type = CU_MEM_LOCATION_TYPE_DEVICE;
memprop.requestedHandleTypes = NVLS_CU_MEM_HANDLE_TYPE;
memprop.location.id = currentDev;
// Query device to see if RDMA support is available
CUCHECK(cuDeviceGetAttribute(&flag, CU_DEVICE_ATTRIBUTE_GPU_DIRECT_RDMA_SUPPORTED, currentDev));
if (flag) memprop.allocFlags.gpuDirectRDMACapable = 1;
CUCHECK(cuMemGetAllocationGranularity(&memGran, &memprop, CU_MEM_ALLOC_GRANULARITY_RECOMMENDED));
/* mc property */
CUDACHECK(cudaGetDeviceCount(&dcnt));
mcprop.size = size;
/* device cnt is a dummy value right now, it might affect mc granularity in the future. */
mcprop.numDevices = dcnt;
mcprop.handleTypes = NVLS_CU_MEM_HANDLE_TYPE;
mcprop.flags = 0;
CUCHECK(cuMulticastGetGranularity(&mcGran, &mcprop, CU_MULTICAST_GRANULARITY_RECOMMENDED));
/* only size needs to be aligned to mcGran */
ALIGN_SIZE(size, mcGran);
/* Allocate the physical memory on the device */
CUCHECK(cuMemCreate(&handle, size, &memprop, 0));
/* Reserve a virtual address range */
CUCHECK(cuMemAddressReserve((CUdeviceptr*)ptr, size, memGran, 0, 0));
/* Map the virtual address range to the physical allocation */
CUCHECK(cuMemMap((CUdeviceptr)*ptr, size, 0, handle, 0));
/* Now allow RW access to the newly mapped memory */
for (int i = 0; i < dcnt; ++i) {
int p2p = 0;
if (i == cudaDev || ((cudaDeviceCanAccessPeer(&p2p, cudaDev, i) == cudaSuccess) && p2p)) {
accessDesc.location.type = CU_MEM_LOCATION_TYPE_DEVICE;
accessDesc.location.id = i;
accessDesc.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE;
CUCHECK(cuMemSetAccess((CUdeviceptr)*ptr, size, &accessDesc, 1));
}
}
goto exit;
}
fallback:
#endif
CUDACHECKGOTO(cudaMalloc(ptr, size), ret, fail);
exit:
return ret;
fail:
goto exit;
}
NCCL_API(ncclResult_t, ncclMemFree, void *ptr);
ncclResult_t ncclMemFree(void *ptr) {
NVTX3_FUNC_RANGE_IN(nccl_domain);
ncclResult_t ret = ncclSuccess;
int saveDevice;
CUDACHECK(cudaGetDevice(&saveDevice));
#if CUDART_VERSION >= 12010
CUdevice ptrDev = 0;
int mcSupport = 0;
if (ptr == NULL) goto fallback;
if (ncclCudaLibraryInit() != ncclSuccess) goto fallback;
CUCHECKGOTO(cuPointerGetAttribute((void*)&ptrDev, CU_POINTER_ATTRIBUTE_DEVICE_ORDINAL, (CUdeviceptr)ptr), ret, fail);
if (CUPFN(cuMulticastCreate) != NULL)
CUCHECKGOTO(cuDeviceGetAttribute(&mcSupport, CU_DEVICE_ATTRIBUTE_MULTICAST_SUPPORTED, ptrDev), ret, fail);
CUDACHECKGOTO(cudaSetDevice((int)ptrDev), ret, fail);
if (mcSupport) {
NCCLCHECKGOTO(ncclCuMemFree(ptr), ret, fail);
goto exit;
}
fallback:
#endif
CUDACHECKGOTO(cudaFree(ptr), ret, fail);
exit:
cudaSetDevice(saveDevice);
return ret;
fail:
goto exit;
}
projects/rccl/src/misc/cudawrap.cc
+10 -4
Melihat File
@@ -12,7 +12,7 @@
#include <dlfcn.h>
// This env var (NCCL_CUMEM_ENABLE) toggles cuMem API usage
NCCL_PARAM(CuMemEnable, "CUMEM_ENABLE", 0);
NCCL_PARAM(CuMemEnable, "CUMEM_ENABLE", -2);
static int ncclCuMemSupported = 0;
@@ -43,7 +43,9 @@ error:
}
int ncclCuMemEnable() {
return ((ncclParamCuMemEnable() == -2 && ncclCuMemSupported) || ncclParamCuMemEnable());
// NCCL_CUMEM_ENABLE=-2 means auto-detect CUMEM support
int param = ncclParamCuMemEnable();
return param >= 0 ? param : (param == -2 && ncclCuMemSupported);
}
#define DECLARE_CUDA_PFN(symbol,version) PFN_##symbol##_v##version pfn_##symbol = nullptr
@@ -74,6 +76,8 @@ DECLARE_CUDA_PFN(cuMemRelease, 10020);
DECLARE_CUDA_PFN(cuMemRetainAllocationHandle, 11000);
DECLARE_CUDA_PFN(cuMemSetAccess, 10020);
DECLARE_CUDA_PFN(cuMemUnmap, 10020);
/* ncclMemAlloc/Free */
DECLARE_CUDA_PFN(cuPointerGetAttribute, 4000);
#if CUDA_VERSION >= 11070
/* transport/collNet.cc/net.cc*/
DECLARE_CUDA_PFN(cuMemGetHandleForAddressRange, 11070); // DMA-BUF support
@@ -137,6 +141,8 @@ static ncclResult_t cudaPfnFuncLoader(void) {
LOAD_SYM(cuMemRetainAllocationHandle, 11000, 1);
LOAD_SYM(cuMemSetAccess, 10020, 1);
LOAD_SYM(cuMemUnmap, 10020, 1);
/* ncclMemAlloc/Free */
LOAD_SYM(cuPointerGetAttribute, 4000, 1);
#if CUDA_VERSION >= 11070
LOAD_SYM(cuMemGetHandleForAddressRange, 11070, 1); // DMA-BUF support
#endif
@@ -158,7 +164,7 @@ static ncclResult_t initResult;
static void initOnceFunc() {
do {
char* val = getenv("CUDA_LAUNCH_BLOCKING");
const char* val = ncclGetEnv("CUDA_LAUNCH_BLOCKING");
ncclCudaLaunchBlocking = val!=nullptr && val[0]!=0 && !(val[0]=='0' && val[1]==0);
} while (0);
@@ -167,7 +173,7 @@ static void initOnceFunc() {
* Load CUDA driver library
*/
char path[1024];
char *ncclCudaPath = getenv("NCCL_CUDA_PATH");
const char *ncclCudaPath = ncclGetEnv("NCCL_CUDA_PATH");
if (ncclCudaPath == NULL)
snprintf(path, 1024, "%s", "libcuda.so");
else
projects/rccl/src/misc/ibvsymbols.cc
+8
Melihat File
@@ -50,6 +50,9 @@ ncclResult_t buildIbvSymbols(struct ncclIbvSymbols* ibvSymbols) {
ASSIGN_SYM(ibvSymbols, ibv_destroy_qp, ibv_internal_destroy_qp);
ASSIGN_SYM(ibvSymbols, ibv_fork_init, ibv_internal_fork_init);
ASSIGN_SYM(ibvSymbols, ibv_event_type_str, ibv_internal_event_type_str);
ASSIGN_SYM(ibvSymbols, ibv_query_ece, ibv_internal_query_ece);
ASSIGN_SYM(ibvSymbols, ibv_set_ece, ibv_internal_set_ece);
ibvSymbols->ibv_internal_reg_mr = &ibv_internal_reg_mr;
ibvSymbols->ibv_internal_query_port = &ibv_internal_query_port;
@@ -123,6 +126,9 @@ ncclResult_t buildIbvSymbols(struct ncclIbvSymbols* ibvSymbols) {
LOAD_SYM(ibvhandle, "ibv_fork_init", ibvSymbols->ibv_internal_fork_init);
LOAD_SYM(ibvhandle, "ibv_event_type_str", ibvSymbols->ibv_internal_event_type_str);
LOAD_SYM_VERSION(ibvhandle, "ibv_query_ece", ibvSymbols->ibv_internal_query_ece, "IBVERBS_1.10");
LOAD_SYM_VERSION(ibvhandle, "ibv_set_ece", ibvSymbols->ibv_internal_set_ece, "IBVERBS_1.10");
return ncclSuccess;
teardown:
@@ -150,6 +156,8 @@ teardown:
ibvSymbols->ibv_internal_destroy_qp = NULL;
ibvSymbols->ibv_internal_fork_init = NULL;
ibvSymbols->ibv_internal_event_type_str = NULL;
ibvSymbols->ibv_internal_query_ece = NULL;
ibvSymbols->ibv_internal_set_ece = NULL;
if (ibvhandle != NULL) dlclose(ibvhandle);
return ncclSystemError;
projects/rccl/src/misc/ibvwrap.cc
+28 -1
Melihat File
@@ -45,11 +45,30 @@ ncclResult_t wrap_ibv_symbols(void) {
} \
return ncclSuccess;
#define IBV_INT_CHECK_RET_ERRNO_OPTIONAL(container, internal_name, call, success_retval, name, supported) \
if (container.internal_name == NULL) { \
INFO(NCCL_NET, "Call to " name " skipped, internal_name doesn't exist"); \
*supported = 0; \
return ncclSuccess; \
} \
int ret = container.call; \
if (ret == ENOTSUP || ret == EOPNOTSUPP) { \
INFO(NCCL_NET, "Call to " name " failed with error %s errno %d", strerror(ret), ret); \
*supported = 0; \
return ncclSuccess; \
} else if (ret != success_retval) { \
WARN("Call to " name " failed with error %s errno %d", strerror(ret), ret); \
*supported = 1; \
return ncclSystemError; \
} \
*supported = 1; \
return ncclSuccess;
#define IBV_INT_CHECK_RET_ERRNO(container, internal_name, call, success_retval, name) \
CHECK_NOT_NULL(container, internal_name); \
int ret = container.call; \
if (ret != success_retval) { \
WARN("Call to " name " failed with error %s", strerror(ret)); \
WARN("Call to " name " failed with error %s errno %d", strerror(ret), ret); \
return ncclSystemError; \
} \
return ncclSuccess;
@@ -187,6 +206,14 @@ ncclResult_t wrap_ibv_modify_qp(struct ibv_qp *qp, struct ibv_qp_attr *attr, int
IBV_INT_CHECK_RET_ERRNO(ibvSymbols, ibv_internal_modify_qp, ibv_internal_modify_qp(qp, attr, attr_mask), 0, "ibv_modify_qp");
}
ncclResult_t wrap_ibv_query_ece(struct ibv_qp *qp, struct ibv_ece *ece, int* supported) { /*returns 0 on success, or the value of errno on failure (which indicates the failure reason)*/
IBV_INT_CHECK_RET_ERRNO_OPTIONAL(ibvSymbols, ibv_internal_query_ece, ibv_internal_query_ece(qp, ece), 0, "ibv_query_ece", supported);
}
ncclResult_t wrap_ibv_set_ece(struct ibv_qp *qp, struct ibv_ece *ece, int* supported) { /*returns 0 on success, or the value of errno on failure (which indicates the failure reason)*/
IBV_INT_CHECK_RET_ERRNO_OPTIONAL(ibvSymbols, ibv_internal_set_ece, ibv_internal_set_ece(qp, ece), 0, "ibv_set_ece", supported);
}
ncclResult_t wrap_ibv_event_type_str(char **ret, enum ibv_event_type event) {
*ret = (char *) ibvSymbols.ibv_internal_event_type_str(event);
return ncclSuccess;
projects/rccl/src/misc/ipcsocket.cc
+62 -30
Melihat File
@@ -30,7 +30,7 @@ ncclResult_t ncclIpcSocketInit(ncclIpcSocket *handle, int rank, uint64_t hash, v
handle->fd = -1;
handle->socketName[0] = '\0';
if ((fd = socket(AF_UNIX, SOCK_DGRAM, 0)) < 0) {
WARN("UDS: Socket creation error : %d", errno);
WARN("UDS: Socket creation error : %s (%d)", strerror(errno), errno);
return ncclSystemError;
}
@@ -54,7 +54,7 @@ ncclResult_t ncclIpcSocketInit(ncclIpcSocket *handle, int rank, uint64_t hash, v
cliaddr.sun_path[0] = '\0'; // Linux abstract socket trick
#endif
if (bind(fd, (struct sockaddr *)&cliaddr, sizeof(cliaddr)) < 0) {
WARN("UDS: Binding to socket %s failed : %d", temp, errno);
WARN("UDS: Binding to socket %s failed : %s (%d)", temp, strerror(errno), errno);
close(fd);
return ncclSystemError;
}
@@ -73,6 +73,15 @@ ncclResult_t ncclIpcSocketInit(ncclIpcSocket *handle, int rank, uint64_t hash, v
return ncclSuccess;
}
ncclResult_t ncclIpcSocketGetFd(struct ncclIpcSocket* handle, int* fd) {
if (handle == NULL) {
WARN("ncclSocketGetFd: pass NULL socket");
return ncclInvalidArgument;
}
if (fd) *fd = handle->fd;
return ncclSuccess;
}
ncclResult_t ncclIpcSocketClose(ncclIpcSocket *handle) {
if (handle == NULL) {
return ncclInternalError;
@@ -90,7 +99,7 @@ ncclResult_t ncclIpcSocketClose(ncclIpcSocket *handle) {
return ncclSuccess;
}
ncclResult_t ncclIpcSocketRecvFd(ncclIpcSocket *handle, int *recvFd) {
ncclResult_t ncclIpcSocketRecvMsg(ncclIpcSocket *handle, void *hdr, int hdrLen, int *recvFd) {
struct msghdr msg = {0, 0, 0, 0, 0, 0, 0};
struct iovec iov[1];
@@ -107,8 +116,13 @@ ncclResult_t ncclIpcSocketRecvFd(ncclIpcSocket *handle, int *recvFd) {
msg.msg_control = control_un.control;
msg.msg_controllen = sizeof(control_un.control);
iov[0].iov_base = (void *)dummy_buffer;
iov[0].iov_len = sizeof(dummy_buffer);
if (hdr == NULL) {
iov[0].iov_base = (void *)dummy_buffer;
iov[0].iov_len = sizeof(dummy_buffer);
} else {
iov[0].iov_base = hdr;
iov[0].iov_len = hdrLen;
}
msg.msg_iov = iov;
msg.msg_iovlen = 1;
@@ -121,25 +135,30 @@ ncclResult_t ncclIpcSocketRecvFd(ncclIpcSocket *handle, int *recvFd) {
if (handle->abortFlag && *handle->abortFlag) return ncclInternalError;
}
if (((cmptr = CMSG_FIRSTHDR(&msg)) != NULL) && (cmptr->cmsg_len == CMSG_LEN(sizeof(int)))) {
if ((cmptr->cmsg_level != SOL_SOCKET) || (cmptr->cmsg_type != SCM_RIGHTS)) {
WARN("UDS: Receiving data over socket failed");
if (recvFd != NULL) {
if (((cmptr = CMSG_FIRSTHDR(&msg)) != NULL) && (cmptr->cmsg_len == CMSG_LEN(sizeof(int)))) {
if ((cmptr->cmsg_level != SOL_SOCKET) || (cmptr->cmsg_type != SCM_RIGHTS)) {
WARN("UDS: Receiving data over socket failed");
return ncclSystemError;
}
memmove(recvFd, CMSG_DATA(cmptr), sizeof(*recvFd));
} else {
WARN("UDS: Receiving data over socket %s failed", handle->socketName);
return ncclSystemError;
}
memmove(recvFd, CMSG_DATA(cmptr), sizeof(*recvFd));
} else {
WARN("UDS: Receiving data over socket %s failed", handle->socketName);
return ncclSystemError;
TRACE(NCCL_INIT|NCCL_P2P, "UDS: Got recvFd %d from socket %s", *recvFd, handle->socketName);
}
TRACE(NCCL_INIT|NCCL_P2P, "UDS: Got recvFd %d from socket %s", *recvFd, handle->socketName);
return ncclSuccess;
}
ncclResult_t ncclIpcSocketSendFd(ncclIpcSocket *handle, const int sendFd, int rank, uint64_t hash) {
struct msghdr msg;
ncclResult_t ncclIpcSocketRecvFd(ncclIpcSocket *handle, int *recvFd) {
return ncclIpcSocketRecvMsg(handle, NULL, 0, recvFd);
}
ncclResult_t ncclIpcSocketSendMsg(ncclIpcSocket *handle, void *hdr, int hdrLen, const int sendFd, int rank, uint64_t hash) {
struct msghdr msg = {0, 0, 0, 0, 0, 0, 0};
struct iovec iov[1];
char temp[NCCL_IPC_SOCKNAME_LEN];
@@ -149,6 +168,7 @@ ncclResult_t ncclIpcSocketSendFd(ncclIpcSocket *handle, const int sendFd, int ra
} control_un;
struct cmsghdr *cmptr;
char dummy_buffer[1];
struct sockaddr_un cliaddr;
// Construct client address to send this shareable handle to
@@ -162,35 +182,43 @@ ncclResult_t ncclIpcSocketSendFd(ncclIpcSocket *handle, const int sendFd, int ra
}
(void) strncpy(cliaddr.sun_path, temp, len);
TRACE(NCCL_INIT, "UDS: Sending fd %d to UDS socket %s", sendFd, temp);
#ifdef USE_ABSTRACT_SOCKET
cliaddr.sun_path[0] = '\0'; // Linux abstract socket trick
#endif
msg.msg_control = control_un.control;
msg.msg_controllen = sizeof(control_un.control);
TRACE(NCCL_INIT, "UDS: Sending hdr %p len %d to UDS socket %s", hdr, hdrLen, temp);
cmptr = CMSG_FIRSTHDR(&msg);
cmptr->cmsg_len = CMSG_LEN(sizeof(int));
cmptr->cmsg_level = SOL_SOCKET;
cmptr->cmsg_type = SCM_RIGHTS;
if (sendFd != -1) {
TRACE(NCCL_INIT, "UDS: Sending fd %d to UDS socket %s", sendFd, temp);
memmove(CMSG_DATA(cmptr), &sendFd, sizeof(sendFd));
msg.msg_control = control_un.control;
msg.msg_controllen = sizeof(control_un.control);
cmptr = CMSG_FIRSTHDR(&msg);
cmptr->cmsg_len = CMSG_LEN(sizeof(int));
cmptr->cmsg_level = SOL_SOCKET;
cmptr->cmsg_type = SCM_RIGHTS;
memmove(CMSG_DATA(cmptr), &sendFd, sizeof(sendFd));
}
msg.msg_name = (void *)&cliaddr;
msg.msg_namelen = sizeof(struct sockaddr_un);
iov[0].iov_base = (void *)"";
iov[0].iov_len = 1;
if (hdr == NULL) {
iov[0].iov_base = (void *)dummy_buffer;
iov[0].iov_len = sizeof(dummy_buffer);
} else {
iov[0].iov_base = hdr;
iov[0].iov_len = hdrLen;
}
msg.msg_iov = iov;
msg.msg_iovlen = 1;
msg.msg_flags = 0;
ssize_t sendResult;
while ((sendResult = sendmsg(handle->fd, &msg, 0)) <= 0) {
while ((sendResult = sendmsg(handle->fd, &msg, 0)) < 0) {
if (errno != EAGAIN && errno != EWOULDBLOCK && errno != EINTR) {
WARN("UDS: Sending data over socket %s failed : %d", temp, errno);
WARN("UDS: Sending data over socket %s failed : %s (%d)", temp, strerror(errno), errno);
return ncclSystemError;
}
if (handle->abortFlag && *handle->abortFlag) return ncclInternalError;
@@ -198,3 +226,7 @@ ncclResult_t ncclIpcSocketSendFd(ncclIpcSocket *handle, const int sendFd, int ra
return ncclSuccess;
}
ncclResult_t ncclIpcSocketSendFd(ncclIpcSocket *handle, const int sendFd, int rank, uint64_t hash) {
return ncclIpcSocketSendMsg(handle, NULL, 0, sendFd, rank, hash);
}
projects/rccl/src/misc/msccl/msccl_setup.cc
+18 -4
Melihat File
@@ -232,11 +232,26 @@ static ncclResult_t hostToDevRedOp(
};
u64 = 0;
opFull->scalarArgIsPtr = false;
opFull->proxyOp = op;
int nbits = 8*ncclTypeSize(datatype);
uint64_t allBits = uint64_t(-1)>>(64-nbits);
uint64_t signBit = allBits^(allBits>>1);
switch (int(op)) {
case ncclSum: opFull->op = ncclDevSum; break;
case ncclProd: opFull->op = ncclDevProd; break;
case ncclMax: opFull->op = ncclDevMax; break;
case ncclMin: opFull->op = ncclDevMin; break;
case ncclMin:
case ncclMax:
opFull->op = ncclDevMinMax;
opFull->scalarArg = 0;
// The xormask used by ncclFuncMinMax<[u]int> is the XOR of the sign bit
// for signed (opposed to unsigned) types and all the bits for max (opposed to min).
if (datatype==ncclInt8 || datatype==ncclInt32 || datatype==ncclInt64) {
opFull->scalarArg ^= signBit;
}
opFull->scalarArg ^= (op == ncclMax) ? allBits : 0;
break;
case ncclAvg:
switch ((int)datatype) {
case ncclInt8: case ncclInt32: case ncclInt64:
@@ -317,8 +332,7 @@ static ncclResult_t hostToDevRedOp(
#define MSCCL_KERNEL_ENTRY() \
MSCCL_KERNEL_ENTRY_DEVREDOP(Sum, false), \
MSCCL_KERNEL_ENTRY_DEVREDOP(Prod, false), \
MSCCL_KERNEL_ENTRY_DEVREDOP(Max, false), \
MSCCL_KERNEL_ENTRY_DEVREDOP(Min, false), \
MSCCL_KERNEL_ENTRY_DEVREDOP(MinMax, false), \
MSCCL_KERNEL_ENTRY_DEVREDOP(PreMulSum, false), \
MSCCL_KERNEL_ENTRY_DEVREDOP_NOFLOAT(SumPostDiv, false)
projects/rccl/src/misc/param.cc
+7 -1
Melihat File
@@ -63,7 +63,7 @@ void ncclLoadParam(char const* env, int64_t deftVal, int64_t uninitialized, int6
static pthread_mutex_t mutex = PTHREAD_MUTEX_INITIALIZER;
pthread_mutex_lock(&mutex);
if (__atomic_load_n(cache, __ATOMIC_RELAXED) == uninitialized) {
char* str = getenv(env);
const char* str = ncclGetEnv(env);
int64_t value = deftVal;
if (str && strlen(str) > 0) {
errno = 0;
@@ -79,3 +79,9 @@ void ncclLoadParam(char const* env, int64_t deftVal, int64_t uninitialized, int6
}
pthread_mutex_unlock(&mutex);
}
const char *ncclGetEnv(const char *name) {
static pthread_once_t once = PTHREAD_ONCE_INIT;
pthread_once(&once, initEnv);
return getenv(name);
}
projects/rccl/src/misc/profiler.cc
+1 -1
Melihat File
@@ -61,7 +61,7 @@ void ncclProfilingDump() {
static int dumpDone = 0;
if (dumpDone) return;
dumpDone = 1;
const char* str = getenv("NCCL_PROXY_PROFILE");
const char* str = ncclGetEnv("NCCL_PROXY_PROFILE");
if (!str) { free(profilingEvents); return; }
FILE* f = fopen(str, "w");
fprintf(f, "[\n");
projects/rccl/src/misc/shmutils.cc
+36 -1
Melihat File
@@ -5,6 +5,7 @@
************************************************************************/
#include "shm.h"
#include "comm.h"
#include "checks.h"
#include <sys/types.h>
#include <sys/mman.h>
@@ -67,7 +68,7 @@ ncclResult_t ncclShmOpen(char* shmPath, size_t shmSize, void** shmPtr, void** de
SYSCHECKGOTO(fd = open(shmPath, O_CREAT | O_RDWR, S_IRUSR | S_IWUSR), ret, fail);
}
if (ftruncate(fd, realShmSize) != 0) {
if (fallocate(fd, 0, 0, realShmSize) != 0) {
WARN("Error: failed to extend %s to %ld bytes", shmPath, realShmSize);
ret = ncclSystemError;
goto fail;
@@ -162,3 +163,37 @@ ncclResult_t ncclShmUnlink(ncclShmHandle_t handle) {
}
return ret;
}
ncclResult_t ncclShmemAllgather(struct ncclComm *comm, struct ncclShmemCollBuff *shmem, void *sendbuff, void *recvbuff, size_t typeSize) {
ncclResult_t ret = ncclSuccess;
int curRound = shmem->round;
size_t mycnt;
if (comm == NULL || shmem == NULL || sendbuff == NULL || recvbuff == NULL) {
ret = ncclInvalidArgument;
goto exit;
}
memcpy((char*)shmem->ptr[curRound] + comm->localRank * typeSize, sendbuff, typeSize);
/* sync among local ranks */
mycnt = __atomic_add_fetch(shmem->cnt[curRound], 1, __ATOMIC_ACQ_REL);
if (mycnt == comm->localRanks) {
*shmem->cnt[curRound ^ 1] = 0; /* prepare next round */
__atomic_store_n(shmem->cnt[curRound], comm->localRanks + 1, __ATOMIC_RELEASE); /* release everyone */
} else {
uint64_t t0 = clockNano();
while(__atomic_load_n(shmem->cnt[curRound], __ATOMIC_ACQUIRE) != comm->localRanks + 1) {
if (clockNano() - t0 >= 5 * 1000) sched_yield();
if (*comm->abortFlag == 1) {
ret = ncclInternalError;
goto exit;
}
}
}
memcpy(recvbuff, (const void*)shmem->ptr[curRound], comm->localRanks * typeSize);
shmem->round ^= 1;
exit:
return ret;
}
projects/rccl/src/misc/socket.cc
+6 -5
Melihat File
@@ -11,6 +11,7 @@
#include <unistd.h>
#include <ifaddrs.h>
#include <net/if.h>
#include "param.h"
#include <vector>
#include <utility>
@@ -92,7 +93,7 @@ static uint16_t socketToPort(union ncclSocketAddress *addr) {
/* Allow the user to force the IPv4/IPv6 interface selection */
static int envSocketFamily(void) {
int family = -1; // Family selection is not forced, will use first one found
char* env = getenv("NCCL_SOCKET_FAMILY");
const char* env = ncclGetEnv("NCCL_SOCKET_FAMILY");
if (env == NULL)
return family;
@@ -333,7 +334,7 @@ int ncclFindInterfaces(char* ifNames, union ncclSocketAddress *ifAddrs, int ifNa
// Allow user to force the INET socket family selection
int sock_family = envSocketFamily();
// User specified interface
char* env = getenv("NCCL_SOCKET_IFNAME");
const char* env = ncclGetEnv("NCCL_SOCKET_IFNAME");
if (env && strlen(env) > 1) {
INFO(NCCL_ENV, "NCCL_SOCKET_IFNAME set by environment to %s", env);
// Specified by user : find or fail
@@ -345,10 +346,10 @@ int ncclFindInterfaces(char* ifNames, union ncclSocketAddress *ifAddrs, int ifNa
nIfs = findInterfaces("ib", ifNames, ifAddrs, sock_family, ifNameMaxSize, maxIfs);
// else see if we can get some hint from COMM ID
if (nIfs == 0) {
char* commId = getenv("NCCL_COMM_ID");
const char* commId = ncclGetEnv("NCCL_COMM_ID");
if (commId && strlen(commId) > 1) {
INFO(NCCL_ENV, "NCCL_COMM_ID set by environment to %s", commId);
// Try to find interface that is in the same subnet as the IP in comm id
INFO(NCCL_ENV, "NCCL_COMM_ID set by environment to %s", commId);
// Try to find interface that is in the same subnet as the IP in comm id
union ncclSocketAddress idAddr;
ncclSocketGetAddrFromString(&idAddr, commId);
nIfs = ncclFindInterfaceMatchSubnet(ifNames, ifAddrs, &idAddr, ifNameMaxSize, maxIfs);
projects/rccl/src/misc/tuner.cc
+82
Melihat File
@@ -0,0 +1,82 @@
/*************************************************************************
* Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2023, Meta Platforms, Inc. and affiliates.
*
* See LICENSE.txt for license information
************************************************************************/
#include <dlfcn.h>
#include <errno.h>
#include <stdlib.h>
#include "debug.h"
#include "nccl_tuner.h"
pthread_mutex_t tunerPluginLock = PTHREAD_MUTEX_INITIALIZER;
static int tunerPluginRefCount = -1;
static void* tunerPluginLib = nullptr;
ncclTuner_t* tunerSymbol = nullptr;
ncclResult_t ncclLoadTunerPlugin(ncclTuner_t** tuner) {
// Initialize to nullptr by default if plugin tuner cannot be loaded.
*tuner = nullptr;
if (tunerPluginRefCount == -2) return ncclSuccess;
pthread_mutex_lock(&tunerPluginLock);
if (tunerPluginRefCount == -1) {
tunerPluginRefCount = -2; // Default: no plugin, don't try again later
const char* name = getenv("NCCL_TUNER_PLUGIN");
if (name) {
INFO(NCCL_TUNING, "NCCL_TUNER_PLUGIN set to %s", name);
tunerPluginLib = dlopen(name, RTLD_LAZY | RTLD_LOCAL);
}
if (tunerPluginLib == nullptr) {
// dlopen does not guarantee to set errno, but dlerror only gives us a
// string, so checking errno doesn't hurt to try to provide a better
// error message
if (errno == ENOENT) {
INFO(NCCL_TUNING, "Tuner: no plugin found '%s', using default tuner instead.", name);
} else {
INFO(NCCL_TUNING, "Tuner: plugin load '%s' returned error (%d : %s), using default tuner instead.", name, errno, dlerror());
}
} else {
tunerSymbol = (ncclTuner_t*)dlsym(tunerPluginLib, NCCL_TUNER_PLUGIN_SYMBOL);
if (tunerSymbol == nullptr) {
INFO(NCCL_TUNING, "Tuner: failed to find " NCCL_TUNER_PLUGIN_SYMBOL " in plugin (%s), using default tuner instead.", name);
dlclose(tunerPluginLib);
tunerPluginLib = nullptr;
} else {
INFO(NCCL_TUNING, "Opened tuner: '%s'", tunerSymbol->name);
tunerPluginRefCount = 0;
}
}
}
if (tunerPluginRefCount >= 0) {
*tuner = tunerSymbol;
INFO(NCCL_INIT, "Using tuner plugin: '%s'", tunerSymbol->name);
tunerPluginRefCount++;
}
pthread_mutex_unlock(&tunerPluginLock);
return ncclSuccess;
}
ncclResult_t ncclCloseTunerPlugin(ncclTuner_t** tuner) {
if (*tuner == nullptr) return ncclSuccess;
pthread_mutex_lock(&tunerPluginLock);
if (--tunerPluginRefCount == 0) {
if (tunerPluginLib == nullptr) {
WARN("Tuner plugin refcount is 0, yet tunerPluginLib ptr is NULL\n");
} else {
INFO(NCCL_TUNING, "Closing tuner: '%s'", tunerSymbol->name);
dlclose(tunerPluginLib);
}
tunerPluginLib = nullptr;
tunerSymbol = nullptr;
*tuner = nullptr;
tunerPluginRefCount = -1;
}
pthread_mutex_unlock(&tunerPluginLock);
return ncclSuccess;
}
projects/rccl/src/misc/utils.cc
+2 -2
Melihat File
@@ -85,13 +85,13 @@ uint64_t getHash(const char* string, int n) {
#define HOSTID_FILE "/proc/sys/kernel/random/boot_id"
uint64_t getHostHash(void) {
char hostHash[1024];
char *hostId;
const char *hostId;
// Fall back is the full hostname if something fails
(void) getHostName(hostHash, sizeof(hostHash), '\0');
int offset = strlen(hostHash);
if ((hostId = getenv("NCCL_HOSTID")) != NULL) {
if ((hostId = ncclGetEnv("NCCL_HOSTID")) != NULL) {
INFO(NCCL_ENV, "NCCL_HOSTID set by environment to %s", hostId);
strncpy(hostHash, hostId, sizeof(hostHash));
} else {
projects/rccl/src/collectives/msccl.cc → projects/rccl/src/msccl.cc
Melihat File

Some files were not shown because too many files have changed in this diff Show More