Этот коммит содержится в:
Wenkai Du
2020-06-05 23:23:46 +00:00
родитель 95b8f70d15
Коммит cfa97eccd3
5 изменённых файлов: 958 добавлений и 0 удалений
+4
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@@ -332,6 +332,10 @@ static ncclResult_t createListenSocket(int *fd, union socketAddress *localAddr)
return ncclSystemError;
}
#if defined(RCCL_IB_TEST)
localAddr->sin.sin_port = htons(23456);
#endif
if (socketToPort(&localAddr->sa)) {
// Port is forced by env. Make sure we get the port.
int opt = 1;
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+20
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@@ -0,0 +1,20 @@
# Copyright (c) 2019-2020 Advanced Micro Devices, Inc. All rights reserved.
HIP_PATH ?= $(wildcard /opt/rocm/hip)
ifeq (,$(HIP_PATH))
HIP_PATH = ../../..
endif
HIPCC = $(HIP_PATH)/bin/hipcc
EXE = ib_test
CXXFLAGS = -g -O3 -Iinclude -I../../src/include -DENABLE_TRACE -DRCCL_IB_TEST -ldl -lnuma
files = $(EXE).cpp utils.cpp ../../src/transport/net_ib.cc ../../src/misc/ibvwrap.cc ../../src/debug.cc
all: $(EXE)
$(EXE): $(files)
$(HIPCC) $(CXXFLAGS) $^ -o $@
#scp $(EXE) rocm-framework-3:$(shell pwd)
clean:
rm -f *.o $(EXE)
Исполняемый файл
+461
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@@ -0,0 +1,461 @@
/*************************************************************************
* Copyright (c) 2016-2020, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) 2019-2020 Advanced Micro Devices, Inc. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#include <sched.h>
#include <fcntl.h>
#include <unistd.h>
#include <hip/hip_runtime.h>
#include <string.h>
#include <errno.h>
#include <assert.h>
#include <dlfcn.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <unistd.h>
#include <cstdio>
#include <iostream>
#include <cstring>
#include "comm.h"
#include "net.h"
#include "graph.h"
#include <sys/time.h>
#include <numaif.h>
#include <sys/socket.h>
#include <netinet/in.h>
#include <arpa/inet.h>
ncclResult_t initNet();
char* getCmdOption(char ** begin, char ** end, const std::string & option) {
char ** itr = std::find(begin, end, option);
if (itr != end && ++itr != end)
{
return *itr;
}
return 0;
}
bool cmdOptionExists(char** begin, char** end, const std::string& option) {
return std::find(begin, end, option) != end;
}
#define DEFAULT_BUFFSIZE (1LL << 22) /* 4MiB */
#define SLICE_STEPS 4
#define ITERATIONS 2000
#define VEGA_GPU_RTC_FREQUENCY 2.5E7
#define ENABLE_VALIDATION
typedef ulong2 Pack128;
struct sockaddr_in netConnectAddr;
void* netSendComm;
int netSendDev;
char *sendDevBuffer;
char *sendHostBuffer;
void *sendDevHandle;
void *sendHostHandle;
int sendBuffSize;
uint64_t *sendHead, *sendTail, *sourceCycle, *sourceBytes;
struct timeval send_tvs;
uint64_t send_sizes;
int send_active_req;
float send_bw_cumulative;
int send_bw_count;
struct sockaddr_in netListenAddr;
void* netListenComm;
void* netRecvComm;
int netRecvDev;
char *recvDevBuffer;
char *recvHostBuffer;
void *recvDevHandle;
void *recvHostHandle;
int recvBuffSize;
uint64_t *recvHead, *recvTail, *recvErrorCount, *sinkCycle, *sinkBytes;
struct timeval recv_tvs;
uint64_t recv_sizes;
int recv_active_req;
float recv_bw_cumulative;
int recv_bw_count;
bool use_gdr_read = false, use_gdr_write = true;
bool runSend = false, runRecv = false;
uint64_t send_byte;
uint64_t recv_byte;
__device__
inline __attribute((always_inline))
long long int __rtc64() {
#if __HIP__
return (long long int) __builtin_amdgcn_s_memrealtime();
#else
return (long long int) __clock_u64();
#endif
}
inline __device__ void Fetch128(Pack128& v, const Pack128* p) {
v.x = p->x;
v.y = p->y;
}
inline __device__ void Store128(Pack128* p, Pack128& v) {
p->x = v.x;
p->y = v.y;
}
template<int UNROLL, bool SINK>
inline __device__ void DataSourceOrSink(const int w, const int nw, const int t,
Pack128* buff, const int Npack, uint64_t seq, uint64_t *error) {
const int inc = nw * UNROLL * WARP_SIZE;
int offset = w * UNROLL * WARP_SIZE + t;
Pack128* src = buff + offset;
uint64_t x = (uint64_t)(offset) + (seq<<32);
uint64_t y = seq + (((uint64_t)(offset))<<32);
while (offset < Npack) {
Pack128 vals[UNROLL];
if (SINK) {
for (int u = 0; u < UNROLL; ++u) Fetch128(vals[u], src + u*WARP_SIZE);
for (int u = 0; u < UNROLL; ++u) {
if (vals[u].x != x++ || vals[u].y != y++ ) {
__atomic_fetch_add(error, 1, __ATOMIC_SEQ_CST);
}
}
} else {
for (int u = 0; u < UNROLL; ++u) {
vals[u].x = x++;
vals[u].y = y++;
}
for (int u = 0; u < UNROLL; ++u) Store128(src + u*WARP_SIZE, vals[u]);
}
src += inc;
offset += inc;
}
}
__global__ void DataSinkKernel(Pack128* data, uint64_t* recv_head, uint64_t* recv_tail, uint64_t* mismatch, uint64_t *sink_cycle, uint64_t *sink_bytes) {
const int N = DEFAULT_BUFFSIZE*SLICE_STEPS/NCCL_STEPS/sizeof(Pack128);
Pack128* recvBuff[NCCL_STEPS];
const int tid = threadIdx.x;
uint64_t tail = LOAD(recv_tail);
__shared__ uint64_t error;
uint64_t t0;
if (tid == 0) error = 0;
__syncthreads();
for (int i = 0; i < NCCL_STEPS; i++)
recvBuff[i] = data + (i/SLICE_STEPS)*N;
do {
if (tid == 0) while (LOAD(recv_head) < tail + SLICE_STEPS);
__syncthreads();
if (tid == 0) t0 = __rtc64();
#ifdef ENABLE_VALIDATION
Pack128* d = recvBuff[tail%NCCL_STEPS];
int w = tid / WARP_SIZE;
int nw = blockDim.x / WARP_SIZE;
int t = tid % WARP_SIZE;
DataSourceOrSink<2, 1>(w, nw, t, recvBuff[tail%NCCL_STEPS], N, tail, &error);
__syncthreads();
#endif
tail += SLICE_STEPS;
if (tid == 0) {
STORE(recv_tail, tail);
*sink_cycle += (__rtc64() - t0);
*sink_bytes += N;
}
} while (tail < NCCL_STEPS*ITERATIONS);
if (tid == 0) STORE(mismatch, error);
}
ncclResult_t netRecvProxy(struct ncclProxyArgs* args) {
char* localBuff = use_gdr_write ? recvDevBuffer : recvHostBuffer;
void* mhandle = use_gdr_write ? recvDevHandle : recvHostHandle;
int stepSize = recvBuffSize / NCCL_STEPS;
if (args->head < args->end) {
if ((args->tail < args->head + NCCL_STEPS) && (args->tail < LOAD(recvTail) + NCCL_STEPS) && (args->tail < args->end)) {
int buffSlot = args->tail%NCCL_STEPS;
int sliceSize = stepSize * args->sliceSteps;
NCCLCHECK(ncclNetIrecv(netRecvComm, localBuff+buffSlot*stepSize, sliceSize, mhandle, args->requests+buffSlot));
if (args->requests[buffSlot] != NULL) {
if (recv_active_req == 0) {
gettimeofday(&recv_tvs, NULL);
recv_sizes = 0;
}
recv_active_req ++;
args->tail += args->sliceSteps;
args->idle = 0;
}
}
if (args->tail > args->head) {
int buffSlot = args->head%NCCL_STEPS;
int done, size;
NCCLCHECK(ncclNetTest(args->requests[buffSlot], &done, &size));
if (done) {
recv_active_req --;
recv_sizes += size;
if (recv_active_req == 0) {
struct timeval tv;
gettimeofday(&tv, NULL);
recv_bw_cumulative += (float)recv_sizes/((tv.tv_sec - recv_tvs.tv_sec)*1000*1000 + tv.tv_usec - recv_tvs.tv_usec)/1000.0;
recv_bw_count ++;
}
args->head += args->sliceSteps;
recv_byte += size;
NCCLCHECK(ncclNetFlush(netRecvComm, localBuff+buffSlot*stepSize, size, mhandle));
STORE(recvHead, args->head);
args->idle = 0;
}
}
} else {
runRecv = false;
}
return ncclSuccess;
}
__global__ void DataSourceKernel(Pack128* data, uint64_t* send_head, uint64_t* send_tail, uint64_t *source_cycle, uint64_t *source_bytes) {
const int N = DEFAULT_BUFFSIZE*SLICE_STEPS/NCCL_STEPS/sizeof(Pack128);
Pack128* sendBuff[NCCL_STEPS];
const int tid = threadIdx.x;
uint64_t head = LOAD(send_head);
uint64_t t0;
for (int i = 0; i < NCCL_STEPS; i++)
sendBuff[i] = data + (i/SLICE_STEPS)*N;
do {
if (tid == 0) while (LOAD(send_tail) + NCCL_STEPS < head + SLICE_STEPS);
__syncthreads();
if (tid == 0) t0 = __rtc64();
int w = tid / WARP_SIZE;
int nw = blockDim.x / WARP_SIZE;
int t = tid % WARP_SIZE;
DataSourceOrSink<2, 0>(w, nw, t, sendBuff[head%NCCL_STEPS], N, head, 0);
__syncthreads();
head += SLICE_STEPS;
if (tid == 0) {
STORE(send_head, head);
*source_cycle += (__rtc64() - t0);
*source_bytes += N;
}
} while (head < NCCL_STEPS*ITERATIONS);
}
ncclResult_t netSendProxy(struct ncclProxyArgs* args) {
char* localBuff = use_gdr_read ? sendDevBuffer : sendHostBuffer;
void* mhandle = use_gdr_read ? sendDevHandle : sendHostHandle;
int stepSize = sendBuffSize / NCCL_STEPS;
int sliceSize = stepSize * args->sliceSteps;
if (args->head < args->end) {
if (args->tail < args->end && args->tail < args->head + NCCL_STEPS) {
if (args->tail < LOAD(sendHead)) {
int buffSlot = args->tail%NCCL_STEPS;
NCCLCHECK(ncclNetIsend(netSendComm, localBuff+buffSlot*stepSize, sliceSize, mhandle, args->requests+buffSlot));
if (args->requests[buffSlot] != NULL) {
if (send_active_req == 0) {
gettimeofday(&send_tvs, NULL);
send_sizes = 0;
}
send_active_req ++;
send_sizes += sliceSize;
send_byte += sliceSize;
__sync_synchronize();
args->tail += args->sliceSteps;
args->idle = 0;
}
}
}
if (args->head < args->tail) {
int done;
int buffSlot = args->head%NCCL_STEPS;
NCCLCHECK(ncclNetTest(args->requests[buffSlot], &done, NULL));
if (done) {
send_active_req --;
if (send_active_req == 0) {
struct timeval tv;
gettimeofday(&tv, NULL);
send_bw_cumulative += (float)send_sizes/((tv.tv_sec - send_tvs.tv_sec)*1000*1000 + tv.tv_usec - send_tvs.tv_usec)/1000.0;
send_bw_count ++;
}
args->head += args->sliceSteps;
STORE(sendTail, args->head);
args->idle = 0;
}
}
}
else
runSend = false;
return ncclSuccess;
}
int main(int argc,char* argv[])
{
struct ncclComm *comm;
int sliceSteps = SLICE_STEPS;
NCCLCHECK(initNet());
int ndev;
NCCLCHECK(ncclNetDevices(&ndev));
if (ndev == 0) {
printf("No IB devices found.\n");
return 0;
}
else
printf("Found %d IB devices\n", ndev);
sendBuffSize = recvBuffSize = DEFAULT_BUFFSIZE;
char *gpu = getCmdOption(argv, argv + argc, "-g");
if (gpu) {
printf("Select GPU %s\n", gpu);
CUDACHECK(hipSetDevice(atol(gpu)));
}
char *gdr_read = getCmdOption(argv, argv + argc, "-r");
if (gdr_read) {
use_gdr_read = atol(gdr_read);
}
char *gdr_write = getCmdOption(argv, argv + argc, "-w");
if (gdr_write) {
use_gdr_write = atol(gdr_write);
}
if (cmdOptionExists(argv, argv + argc, "-d")) {
char *ip = getCmdOption(argv, argv + argc, "-d");
if (ip)
inet_pton(AF_INET, ip, &netConnectAddr.sin_addr);
char *port = getCmdOption(argv, argv + argc, "-p");
if (port)
netConnectAddr.sin_port = htons(atoi(port));
else
netConnectAddr.sin_port = htons(23456);
netConnectAddr.sin_family = AF_INET;
printf("Connecting to %s:%s\n", ip, port);
printf("GDR Read %s\n", use_gdr_read ? "enabled" : "disabled");
NCCLCHECK(ncclCudaCalloc(&sendDevBuffer, sendBuffSize, 1));
NCCLCHECK(ncclCudaHostCalloc(&sendHostBuffer, sendBuffSize));
int status[1] = {-1};
if (!move_pages(0, 1, (void **)&sendHostBuffer, NULL, status, 0))
printf("Allocated sendHostBuffer %p of %d bytes on node %d, sliceSteps %d\n",
sendHostBuffer, sendBuffSize, status[0], sliceSteps);
NCCLCHECK(ncclCudaHostCalloc(&sendHead, 1));
NCCLCHECK(ncclCudaHostCalloc(&sendTail, 1));
NCCLCHECK(ncclCudaHostCalloc(&sourceCycle, 1));
NCCLCHECK(ncclCudaHostCalloc(&sourceBytes, 1));
netSendDev = 0;
NCCLCHECK(ncclNetConnect(netSendDev, &netConnectAddr, &netSendComm));
NCCLCHECK(ncclNetRegMr(netSendComm, sendDevBuffer, sendBuffSize, NCCL_PTR_CUDA, &sendDevHandle));
NCCLCHECK(ncclNetRegMr(netSendComm, sendHostBuffer, sendBuffSize, NCCL_PTR_HOST, &sendHostHandle));
hipLaunchKernelGGL(DataSourceKernel, dim3(1, 1, 1), dim3(256, 1, 1), 0, 0,
(Pack128 *)(use_gdr_read ? sendDevBuffer : sendHostBuffer), sendHead, sendTail, sourceCycle, sourceBytes);
runSend = true;
} else {
printf("GDR Write %s\n", use_gdr_write ? "enabled" : "disabled");
NCCLCHECK(ncclCudaCalloc(&recvDevBuffer, recvBuffSize, 1));
NCCLCHECK(ncclCudaHostCalloc(&recvHostBuffer, recvBuffSize));
int status[1] = {-1};
if (!move_pages(0, 1, (void **)&recvHostBuffer, NULL, status, 0))
printf("Allocated recvHostBuffer %p of %d bytes on node %d, sliceSteps %d\n",
recvHostBuffer, recvBuffSize, status[0], sliceSteps);
NCCLCHECK(ncclCudaHostCalloc(&recvHead, 1));
NCCLCHECK(ncclCudaHostCalloc(&recvTail, 1));
NCCLCHECK(ncclCudaHostCalloc(&recvErrorCount, 1));
NCCLCHECK(ncclCudaHostCalloc(&sinkCycle, 1));
NCCLCHECK(ncclCudaHostCalloc(&sinkBytes, 1));
netRecvDev = 0;
NCCLCHECK(ncclNetListen(netRecvDev, (void *)&netListenAddr, &netListenComm));
char ip[INET_ADDRSTRLEN];
uint16_t port;
inet_ntop(AF_INET, &netListenAddr.sin_addr, ip, sizeof(ip));
port = htons(netListenAddr.sin_port);
printf("Listening on socket %s:%d\n", ip, port);
NCCLCHECK(ncclNetAccept(netListenComm, &netRecvComm));
NCCLCHECK(ncclNetCloseListen(netListenComm));
NCCLCHECK(ncclNetRegMr(netRecvComm, recvDevBuffer, recvBuffSize, NCCL_PTR_CUDA, &recvDevHandle));
NCCLCHECK(ncclNetRegMr(netRecvComm, recvHostBuffer, recvBuffSize, NCCL_PTR_HOST, &recvHostHandle));
hipLaunchKernelGGL(DataSinkKernel, dim3(1, 1, 1), dim3(256, 1, 1), 0, 0,
(Pack128 *)(use_gdr_write ? recvDevBuffer : recvHostBuffer), recvHead, recvTail, recvErrorCount, sinkCycle, sinkBytes);
runRecv = true;
}
struct ncclProxyArgs sendArgs, recvArgs;
memset(&sendArgs, 0, sizeof(struct ncclProxyArgs));
sendArgs.head = 0;
sendArgs.tail = 0;
sendArgs.end = NCCL_STEPS*ITERATIONS;
sendArgs.sliceSteps = sliceSteps;
sendArgs.opCount = 1;
memset(&recvArgs, 0, sizeof(struct ncclProxyArgs));
recvArgs.head = 0;
recvArgs.tail = 0;
recvArgs.end = NCCL_STEPS*ITERATIONS;
recvArgs.sliceSteps = sliceSteps;
recvArgs.opCount = 1;
struct timeval tv_start, tv_end;
gettimeofday(&tv_start, NULL);
do {
if (runRecv)
NCCLCHECK(netRecvProxy(&recvArgs));
if (runSend)
NCCLCHECK(netSendProxy(&sendArgs));
} while (runSend || runRecv);
CUDACHECK(hipDeviceSynchronize());
gettimeofday(&tv_end, NULL);
uint64_t total_time = ((uint64_t)(tv_end.tv_sec - tv_start.tv_sec)*1000*1000 + tv_end.tv_usec - tv_start.tv_usec);
if (send_byte) printf("# Send %6.2f GB/s (%ld bytes %ld us) Proxy %6.2f GB/s (%d mmts) Kernel %6.2f GB/s (%ld bytes)\n",
(total_time) ? (double)send_byte/total_time/1000.0 : 0,
send_byte, total_time, send_bw_count ? (float)send_bw_cumulative/send_bw_count : 0, send_bw_count,
*sourceCycle ? (double)(*sourceBytes)*sizeof(Pack128)/((double)(*sourceCycle)/VEGA_GPU_RTC_FREQUENCY*1.0E9) : 0, *sourceBytes*sizeof(Pack128));
if (recv_byte) printf("# Recv %6.2f GB/s (%ld bytes %ld us) Proxy %6.2f GB/s (%d mmts) Kernel %6.2f GB/s (%ld bytes) Data Error Counts %ld\n",
(total_time) ? (double)recv_byte/total_time/1000.0 : 0,
recv_byte, total_time, recv_bw_count ? (float)recv_bw_cumulative/recv_bw_count : 0, recv_bw_count,
*sinkCycle ? (double)(*sinkBytes)*sizeof(Pack128)/((double)(*sinkCycle)/VEGA_GPU_RTC_FREQUENCY*1.0E9) : 0, *sinkBytes*sizeof(Pack128),
*recvErrorCount);
if (cmdOptionExists(argv, argv + argc, "-d")) {
NCCLCHECK(ncclCudaHostFree(sourceCycle));
NCCLCHECK(ncclCudaHostFree(sourceBytes));
NCCLCHECK(ncclCudaHostFree(sendHead));
NCCLCHECK(ncclCudaHostFree(sendTail));
NCCLCHECK(ncclNetDeregMr(netSendComm, sendDevHandle));
NCCLCHECK(ncclNetDeregMr(netSendComm, sendHostHandle));
NCCLCHECK(ncclCudaHostFree(sendHostBuffer));
CUDACHECK(hipFree(sendDevBuffer));
NCCLCHECK(ncclNetCloseSend(netSendComm));
} else {
NCCLCHECK(ncclCudaHostFree(sinkCycle));
NCCLCHECK(ncclCudaHostFree(sinkBytes));
NCCLCHECK(ncclCudaHostFree(recvErrorCount));
NCCLCHECK(ncclCudaHostFree(recvHead));
NCCLCHECK(ncclCudaHostFree(recvTail));
NCCLCHECK(ncclNetDeregMr(netRecvComm, recvDevHandle));
NCCLCHECK(ncclNetDeregMr(netRecvComm, recvHostHandle));
NCCLCHECK(ncclCudaHostFree(recvHostBuffer));
CUDACHECK(hipFree(recvDevBuffer));
NCCLCHECK(ncclNetCloseRecv(netRecvComm));
}
return 0;
}
Исполняемый файл
+354
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@@ -0,0 +1,354 @@
/*************************************************************************
* Copyright (c) 2015-2020, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) 2019-2020 Advanced Micro Devices, Inc. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#ifndef NCCL_H_
#define NCCL_H_
#include <hip/hip_runtime_api.h>
#include <hip/hip_fp16.h>
#define NCCL_MAJOR 2
#define NCCL_MINOR 7
#define NCCL_PATCH 0
#define NCCL_SUFFIX ""
#define NCCL_VERSION_CODE 2700
#define NCCL_VERSION(X,Y,Z) ((X) * 1000 + (Y) * 100 + (Z))
#define RCCL_BFLOAT16 1
#define RCCL_GATHER_SCATTER 1
#ifdef __cplusplus
extern "C" {
#endif
/* Opaque handle to communicator */
typedef struct ncclComm* ncclComm_t;
#define NCCL_UNIQUE_ID_BYTES 128
typedef struct { char internal[NCCL_UNIQUE_ID_BYTES]; } ncclUniqueId;
/* Error type */
typedef enum { ncclSuccess = 0,
ncclUnhandledCudaError = 1,
ncclSystemError = 2,
ncclInternalError = 3,
ncclInvalidArgument = 4,
ncclInvalidUsage = 5,
ncclNumResults = 6 } ncclResult_t;
/* Return the NCCL_VERSION_CODE of the NCCL library in the supplied integer.
* This integer is coded with the MAJOR, MINOR and PATCH level of the
* NCCL library
*/
ncclResult_t ncclGetVersion(int *version);
ncclResult_t pncclGetVersion(int *version);
/* Generates an Id to be used in ncclCommInitRank. ncclGetUniqueId should be
* called once and the Id should be distributed to all ranks in the
* communicator before calling ncclCommInitRank. */
ncclResult_t ncclGetUniqueId(ncclUniqueId* uniqueId);
ncclResult_t pncclGetUniqueId(ncclUniqueId* uniqueId);
/* Creates a new communicator (multi thread/process version).
* rank must be between 0 and nranks-1 and unique within a communicator clique.
* Each rank is associated to a CUDA device, which has to be set before calling
* ncclCommInitRank.
* ncclCommInitRank implicitly syncronizes with other ranks, so it must be
* called by different threads/processes or use ncclGroupStart/ncclGroupEnd. */
ncclResult_t ncclCommInitRank(ncclComm_t* comm, int nranks, ncclUniqueId commId, int rank);
ncclResult_t pncclCommInitRank(ncclComm_t* comm, int nranks, ncclUniqueId commId, int rank);
/* Creates a clique of communicators (single process version).
* This is a convenience function to create a single-process communicator clique.
* Returns an array of ndev newly initialized communicators in comm.
* comm should be pre-allocated with size at least ndev*sizeof(ncclComm_t).
* If devlist is NULL, the first ndev CUDA devices are used.
* Order of devlist defines user-order of processors within the communicator. */
ncclResult_t ncclCommInitAll(ncclComm_t* comm, int ndev, const int* devlist);
ncclResult_t pncclCommInitAll(ncclComm_t* comm, int ndev, const int* devlist);
/* Frees resources associated with communicator object, but waits for any operations
* that might still be running on the device. */
ncclResult_t ncclCommDestroy(ncclComm_t comm);
ncclResult_t pncclCommDestroy(ncclComm_t comm);
/* Frees resources associated with communicator object and aborts any operations
* that might still be running on the device. */
ncclResult_t ncclCommAbort(ncclComm_t comm);
ncclResult_t pncclCommAbort(ncclComm_t comm);
/* Returns a human-readable error message. */
const char* ncclGetErrorString(ncclResult_t result);
const char* pncclGetErrorString(ncclResult_t result);
/* Checks whether the comm has encountered any asynchronous errors */
ncclResult_t ncclCommGetAsyncError(ncclComm_t comm, ncclResult_t *asyncError);
ncclResult_t pncclCommGetAsyncError(ncclComm_t comm, ncclResult_t *asyncError);
/* Gets the number of ranks in the communicator clique. */
ncclResult_t ncclCommCount(const ncclComm_t comm, int* count);
ncclResult_t pncclCommCount(const ncclComm_t comm, int* count);
/* Returns the cuda device number associated with the communicator. */
ncclResult_t ncclCommCuDevice(const ncclComm_t comm, int* device);
ncclResult_t pncclCommCuDevice(const ncclComm_t comm, int* device);
/* Returns the user-ordered "rank" associated with the communicator. */
ncclResult_t ncclCommUserRank(const ncclComm_t comm, int* rank);
ncclResult_t pncclCommUserRank(const ncclComm_t comm, int* rank);
/* Reduction operation selector */
typedef enum { ncclSum = 0,
ncclProd = 1,
ncclMax = 2,
ncclMin = 3,
ncclNumOps = 4 } ncclRedOp_t;
/* Data types */
typedef enum { ncclInt8 = 0, ncclChar = 0,
ncclUint8 = 1,
ncclInt32 = 2, ncclInt = 2,
ncclUint32 = 3,
ncclInt64 = 4,
ncclUint64 = 5,
ncclFloat16 = 6, ncclHalf = 6,
ncclFloat32 = 7, ncclFloat = 7,
ncclFloat64 = 8, ncclDouble = 8,
ncclBfloat16 = 9,
ncclNumTypes = 10 } ncclDataType_t;
/*
* Collective communication operations
*
* Collective communication operations must be called separately for each
* communicator in a communicator clique.
*
* They return when operations have been enqueued on the CUDA stream.
*
* Since they may perform inter-CPU synchronization, each call has to be done
* from a different thread or process, or need to use Group Semantics (see
* below).
*/
/*
* Reduce
*
* Reduces data arrays of length count in sendbuff into recvbuff using op
* operation.
* recvbuff may be NULL on all calls except for root device.
* root is the rank (not the CUDA device) where data will reside after the
* operation is complete.
*
* In-place operation will happen if sendbuff == recvbuff.
*/
ncclResult_t ncclReduce(const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype,
ncclRedOp_t op, int root, ncclComm_t comm, hipStream_t stream);
ncclResult_t pncclReduce(const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype,
ncclRedOp_t op, int root, ncclComm_t comm, hipStream_t stream);
/*
* (deprecated) Broadcast (in-place)
*
* Copies count values from root to all other devices.
* root is the rank (not the CUDA device) where data resides before the
* operation is started.
*
* This operation is implicitely in place.
*/
ncclResult_t ncclBcast(void* buff, size_t count, ncclDataType_t datatype, int root,
ncclComm_t comm, hipStream_t stream);
ncclResult_t pncclBcast(void* buff, size_t count, ncclDataType_t datatype, int root,
ncclComm_t comm, hipStream_t stream);
/*
* Broadcast
*
* Copies count values from root to all other devices.
* root is the rank (not the CUDA device) where data resides before the
* operation is started.
*
* In-place operation will happen if sendbuff == recvbuff.
*/
ncclResult_t ncclBroadcast(const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, int root,
ncclComm_t comm, hipStream_t stream);
ncclResult_t pncclBroadcast(const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, int root,
ncclComm_t comm, hipStream_t stream);
/*
* All-Reduce
*
* Reduces data arrays of length count in sendbuff using op operation, and
* leaves identical copies of result on each recvbuff.
*
* In-place operation will happen if sendbuff == recvbuff.
*/
ncclResult_t ncclAllReduce(const void* sendbuff, void* recvbuff, size_t count,
ncclDataType_t datatype, ncclRedOp_t op, ncclComm_t comm, hipStream_t stream);
ncclResult_t pncclAllReduce(const void* sendbuff, void* recvbuff, size_t count,
ncclDataType_t datatype, ncclRedOp_t op, ncclComm_t comm, hipStream_t stream);
/*
* Reduce-Scatter
*
* Reduces data in sendbuff using op operation and leaves reduced result
* scattered over the devices so that recvbuff on rank i will contain the i-th
* block of the result.
* Assumes sendcount is equal to nranks*recvcount, which means that sendbuff
* should have a size of at least nranks*recvcount elements.
*
* In-place operations will happen if recvbuff == sendbuff + rank * recvcount.
*/
ncclResult_t ncclReduceScatter(const void* sendbuff, void* recvbuff,
size_t recvcount, ncclDataType_t datatype, ncclRedOp_t op, ncclComm_t comm,
hipStream_t stream);
ncclResult_t pncclReduceScatter(const void* sendbuff, void* recvbuff,
size_t recvcount, ncclDataType_t datatype, ncclRedOp_t op, ncclComm_t comm,
hipStream_t stream);
/*
* All-Gather
*
* Each device gathers sendcount values from other GPUs into recvbuff,
* receiving data from rank i at offset i*sendcount.
* Assumes recvcount is equal to nranks*sendcount, which means that recvbuff
* should have a size of at least nranks*sendcount elements.
*
* In-place operations will happen if sendbuff == recvbuff + rank * sendcount.
*/
ncclResult_t ncclAllGather(const void* sendbuff, void* recvbuff, size_t sendcount,
ncclDataType_t datatype, ncclComm_t comm, hipStream_t stream);
ncclResult_t pncclAllGather(const void* sendbuff, void* recvbuff, size_t sendcount,
ncclDataType_t datatype, ncclComm_t comm, hipStream_t stream);
/*
* Send
*
* Send data from sendbuff to rank peer.
*
* Rank peer needs to call ncclRecv with the same datatype and the same count from this
* rank.
*
* This operation is blocking for the GPU. If multiple ncclSend and ncclRecv operations
* need to progress concurrently to complete, they must be fused within a ncclGroupStart/
* ncclGroupEnd section.
*/
ncclResult_t ncclSend(const void* sendbuff, size_t count, ncclDataType_t datatype, int peer,
ncclComm_t comm, hipStream_t stream);
ncclResult_t pncclSend(const void* sendbuff, size_t count, ncclDataType_t datatype, int peer,
ncclComm_t comm, hipStream_t stream);
/*
* Receive
*
* Receive data from rank peer into recvbuff.
*
* Rank peer needs to call ncclSend with the same datatype and the same count to this
* rank.
*
* This operation is blocking for the GPU. If multiple ncclSend and ncclRecv operations
* need to progress concurrently to complete, they must be fused within a ncclGroupStart/
* ncclGroupEnd section.
*/
ncclResult_t pncclRecv(void* recvbuff, size_t count, ncclDataType_t datatype, int peer,
ncclComm_t comm, hipStream_t stream);
ncclResult_t ncclRecv(void* recvbuff, size_t count, ncclDataType_t datatype, int peer,
ncclComm_t comm, hipStream_t stream);
/*
* Gather
*
* Root device gathers sendcount values from other GPUs into recvbuff,
* receiving data from rank i at offset i*sendcount.
* Assumes recvcount is equal to nranks*sendcount, which means that recvbuff
* should have a size of at least nranks*sendcount elements.
*
* In-place operations will happen if sendbuff == recvbuff + rank * sendcount.
*/
ncclResult_t ncclGather(const void* sendbuff, void* recvbuff, size_t sendcount,
ncclDataType_t datatype, int root, ncclComm_t comm, hipStream_t stream);
ncclResult_t pncclGather(const void* sendbuff, void* recvbuff, size_t sendcount,
ncclDataType_t datatype, int root, ncclComm_t comm, hipStream_t stream);
/*
* Scatter
*
* Scattered over the devices so that recvbuff on rank i will contain the i-th
* block of the data on root.
* Assumes sendcount is equal to nranks*recvcount, which means that sendbuff
* should have a size of at least nranks*recvcount elements.
*
* In-place operations will happen if recvbuff == sendbuff + rank * recvcount.
*/
ncclResult_t ncclScatter(const void* sendbuff, void* recvbuff,
size_t recvcount, ncclDataType_t datatype, int root, ncclComm_t comm,
hipStream_t stream);
ncclResult_t pncclScatter(const void* sendbuff, void* recvbuff,
size_t recvcount, ncclDataType_t datatype, int root, ncclComm_t comm,
hipStream_t stream);
/*
* All-To-All
*
* Device (i) send (j)th block of data to device (j) and be placed as (i)th
* block. Each block for sending/receiving has count elements, which means
* that recvbuff and sendbuff should have a size of nranks*count elements.
*
* In-place operation will happen if sendbuff == recvbuff.
*/
ncclResult_t ncclAllToAll(const void* sendbuff, void* recvbuff, size_t count,
ncclDataType_t datatype, ncclComm_t comm, hipStream_t stream);
ncclResult_t pncclAllToAll(const void* sendbuff, void* recvbuff, size_t count,
ncclDataType_t datatype, ncclComm_t comm, hipStream_t stream);
/*
* Group semantics
*
* When managing multiple GPUs from a single thread, and since NCCL collective
* calls may perform inter-CPU synchronization, we need to "group" calls for
* different ranks/devices into a single call.
*
* Grouping NCCL calls as being part of the same collective operation is done
* using ncclGroupStart and ncclGroupEnd. ncclGroupStart will enqueue all
* collective calls until the ncclGroupEnd call, which will wait for all calls
* to be complete. Note that for collective communication, ncclGroupEnd only
* guarantees that the operations are enqueued on the streams, not that
* the operation is effectively done.
*
* Both collective communication and ncclCommInitRank can be used in conjunction
* of ncclGroupStart/ncclGroupEnd, but not together.
*
* Group semantics also allow to fuse multiple operations on the same device
* to improve performance (for aggregated collective calls), or to permit
* concurrent progress of multiple send/receive operations.
*/
/*
* Group Start
*
* Start a group call. All calls to NCCL until ncclGroupEnd will be fused into
* a single NCCL operation. Nothing will be started on the CUDA stream until
* ncclGroupEnd.
*/
ncclResult_t ncclGroupStart();
ncclResult_t pncclGroupStart();
/*
* Group End
*
* End a group call. Start a fused NCCL operation consisting of all calls since
* ncclGroupStart. Operations on the CUDA stream depending on the NCCL operations
* need to be called after ncclGroupEnd.
*/
ncclResult_t ncclGroupEnd();
ncclResult_t pncclGroupEnd();
#ifdef __cplusplus
} // end extern "C"
#endif
#endif // end include guard
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/*************************************************************************
* Copyright (c) 2016-2019, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) 2019-2020 Advanced Micro Devices, Inc. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#include "nccl.h"
#include "channel.h"
#include "nvmlwrap.h"
#include "bootstrap.h"
#include "transport.h"
#include "group.h"
#include "net.h"
#include "coll_net.h"
#include "enqueue.h"
#include "graph.h"
#include "argcheck.h"
#include <fcntl.h>
#include <unistd.h>
#include <hip/hip_runtime.h>
#include <string.h>
#include <errno.h>
#include <assert.h>
#include <dlfcn.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <unistd.h>
#ifdef ENABLE_TRACE
std::chrono::high_resolution_clock::time_point ncclEpoch;
#endif
ncclNet_t* ncclNet = NULL;
// Returns ncclInternalError if anything fails, causing that network to be ignored.
ncclResult_t initNet(ncclNet_t* net) {
int ndev;
if (net->init(ncclDebugLog) != ncclSuccess) return ncclInternalError;
if (net->devices(&ndev) != ncclSuccess) return ncclInternalError;
if (ndev <= 0) return ncclSystemError;
return ncclSuccess;
}
ncclResult_t initNet() {
if (initNet(&ncclNetIb) == ncclSuccess) {
ncclNet = &ncclNetIb;
}
return ncclSuccess;
}
ncclResult_t getHostName(char* hostname, int maxlen, const char delim) {
if (gethostname(hostname, maxlen) != 0) {
strncpy(hostname, "unknown", maxlen);
return ncclSystemError;
}
int i = 0;
while ((hostname[i] != delim) && (hostname[i] != '\0') && (i < maxlen-1)) i++;
hostname[i] = '\0';
return ncclSuccess;
}
int parseStringList(const char* string, struct netIf* ifList, int maxList) {
if (!string) return 0;
const char* ptr = string;
int ifNum = 0;
int ifC = 0;
char c;
do {
c = *ptr;
if (c == ':') {
if (ifC > 0) {
ifList[ifNum].prefix[ifC] = '\0';
ifList[ifNum].port = atoi(ptr+1);
ifNum++; ifC = 0;
}
while (c != ',' && c != '\0') c = *(++ptr);
} else if (c == ',' || c == '\0') {
if (ifC > 0) {
ifList[ifNum].prefix[ifC] = '\0';
ifList[ifNum].port = -1;
ifNum++; ifC = 0;
}
} else {
ifList[ifNum].prefix[ifC] = c;
ifC++;
}
ptr++;
} while (ifNum < maxList && c);
return ifNum;
}
static bool matchIf(const char* string, const char* ref, bool matchExact) {
// Make sure to include '\0' in the exact case
int matchLen = matchExact ? strlen(string) + 1 : strlen(ref);
return strncmp(string, ref, matchLen) == 0;
}
static bool matchPort(const int port1, const int port2) {
if (port1 == -1) return true;
if (port2 == -1) return true;
if (port1 == port2) return true;
return false;
}
bool matchIfList(const char* string, int port, struct netIf* ifList, int listSize, bool matchExact) {
// Make an exception for the case where no user list is defined
if (listSize == 0) return true;
for (int i=0; i<listSize; i++) {
if (matchIf(string, ifList[i].prefix, matchExact)
&& matchPort(port, ifList[i].port)) {
return true;
}
}
return false;
}