Files
rocm-systems/src/include/alloc.h
T
Sylvain Jeaugey 68b542363f 2.23.4-1
Add scalable init API
 * Add new ncclCommInitRankScalable to allow for passing multiple
   unique IDs to the init function.
 * Spreads the load onto multiple bootstrap roots, allowing for
   constant bootstrap time.
 * Requires multiple ranks to create a unique ID, and the CPU-side
   ID exchange code to call allgather[v] instead of broadcast.

Accelerate init bootstrap operations
 * Reduce the number of calls to allgather.
 * Allow roots to reply early to ranks when information is already
   available.
 * Add an option to use ncclNet instead of sockets to perform
   bootstrap allgather operations.

Add PAT algorithms for Allgather and ReduceScatter
 * Parallel Aggregated Trees, variation of Bruck algorithm.
 * Logarithmic number of network steps for small sizes at scale.
 * Only supports one rank per node at the moment.

Add support for registered buffers for intra-node communication.
 * Allow registered user buffers to be accessed directly intra-node
 * Avoids extra copies in algorithms which permit it, saving
   memory bandwidth and helping with compute overlap.

Add profiler plugin API
 * New plugin API for profiling
 * Supports various levels of profiling, with a hierarchy.

Asynchronous graph allocation
 * Make calls to cudaMalloc and cudaMemcpy during graph allocation
   asynchronous.
 * Significantly speeds up graph capture.

Use fatal IB asynchronous events to stop network operation
 * Avoids many other error messages
 * Only fatal errors are affected; potentially transient errors
   (e.g. port down) do not cause an immediate stop.

Set P2P level to PXB on AMD CPUs when using more than 2 GPUs per node
 * P2P would cause a significant performance degradation when using
   many GPUs, and therefore many interleaved data flows.
 * Disable P2P through the CPU when we have 3+ GPUs per node; keep it
   enabled when we only have 2 GPUs.

Improve the init logs to report the real NCCL function.
 * Make the log report ncclCommInitRank or ncclCommSplit, rather than
   the generic ncclCommInitRankFunc.

Add a parameter to set the location of the user configuration file.
 * Add NCCL_CONF_FILE environment variable to set where the user's
   configuration file resides.

Increase default IB timeout
 * Increase IB timeout value from 18 to 20.
 * Should help avoid fatal errors on large RoCE systems.

Add new check for nvidia peermem
 * On linux kernels 6.6+, /sys/kernel/mm/memory_peers is no longer
   present; check for /sys/module/nvidia_peermem/version instead.

Fix old performance regression when mixing small and large operations.
 * Improves distribution of work on channels.

Fix crash when NUMA IDs are equal to -1.
 * Can happen when a NIC is a virtual NIC, or when linux doesn't
   know which NUMA node a device is attached to
 * Issue NVIDIA/nccl-tests#233

Fix tree graph search when NCCL_CROSS_NIC is set to 1.
 * Would force NCCL to use the balanced_tree pattern, thereby
   disabling LL128 on platforms with 1 GPU+1 NIC per PCI switch.
 * Would also try to use alternate rings even though it was not
   needed.

Compiler tweaks and fixes
 * PR #1177
 * PR #1228

Fix stack smash
 * PR #1325

Fixes for multi-node NVLink + IB operation

Coverity fixes and comments.
2024-09-16 23:41:17 -07:00

418 líneas
16 KiB
C++

/*************************************************************************
* Copyright (c) 2019-2022, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#ifndef NCCL_ALLOC_H_
#define NCCL_ALLOC_H_
#include "nccl.h"
#include "checks.h"
#include "bitops.h"
#include "utils.h"
#include "p2p.h"
#include <sys/mman.h>
#include <unistd.h>
#include <stdlib.h>
#include <string.h>
#if CUDART_VERSION >= 11030
#include <cuda.h>
#include "cudawrap.h"
#endif
uint64_t clockNano(); // from utils.h with which we have a circular dependency
template<typename T>
constexpr size_t ncclSizeOfT() { return sizeof(T); }
template<>
constexpr size_t ncclSizeOfT<void>() { return 1; }
#if CUDART_VERSION >= 12020
static inline ncclResult_t ncclCuMemHostAlloc(void** ptr, CUmemGenericAllocationHandle *handlep, size_t size) {
ncclResult_t result = ncclSuccess;
size_t granularity = 0;
CUdevice currentDev;
CUmemAllocationProp prop = {};
CUmemAccessDesc accessDesc = {};
CUmemGenericAllocationHandle handle;
int cudaDev;
int cpuNumaNodeId = -1;
CUmemAllocationHandleType type = ncclCuMemHandleType;
CUDACHECK(cudaGetDevice(&cudaDev));
CUCHECK(cuDeviceGet(&currentDev, cudaDev));
CUCHECK(cuDeviceGetAttribute(&cpuNumaNodeId, CU_DEVICE_ATTRIBUTE_HOST_NUMA_ID, currentDev));
if (cpuNumaNodeId < 0) cpuNumaNodeId = 0;
prop.location.type = CU_MEM_LOCATION_TYPE_HOST_NUMA;
prop.type = CU_MEM_ALLOCATION_TYPE_PINNED;
prop.requestedHandleTypes = type; // So it can be exported
prop.location.id = cpuNumaNodeId;
CUCHECK(cuMemGetAllocationGranularity(&granularity, &prop, CU_MEM_ALLOC_GRANULARITY_MINIMUM));
ALIGN_SIZE(size, granularity);
/* Allocate the physical memory on the device */
CUCHECK(cuMemCreate(&handle, size, &prop, 0));
/* Reserve a virtual address range */
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 for local GPU */
accessDesc.location.type = CU_MEM_LOCATION_TYPE_DEVICE;
accessDesc.location.id = cudaDev;
accessDesc.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE;
CUCHECK(cuMemSetAccess((CUdeviceptr)*ptr, size, &accessDesc, 1));
/* Now allow RW access to the newly mapped memory from the CPU */
accessDesc.location.type = CU_MEM_LOCATION_TYPE_HOST_NUMA;
accessDesc.location.id = cpuNumaNodeId;
accessDesc.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE;
CUCHECK(cuMemSetAccess((CUdeviceptr)*ptr, size, &accessDesc, 1));
if (handlep) *handlep = handle;
INFO(NCCL_ALLOC, "CUMEM Host Alloc Size %zi pointer %p handle %llx numa %d dev %d granularity %ld", size, *ptr, handle, cpuNumaNodeId, cudaDev, granularity);
return result;
}
static inline ncclResult_t ncclCuMemHostFree(void* ptr) {
if (ptr == NULL) return ncclSuccess;
ncclResult_t result = ncclSuccess;
CUmemGenericAllocationHandle handle;
size_t size = 0;
CUCHECK(cuMemRetainAllocationHandle(&handle, ptr));
CUCHECK(cuMemRelease(handle));
CUCHECK(cuMemGetAddressRange(NULL, &size, (CUdeviceptr)ptr));
TRACE(NCCL_ALLOC, "CUMEM Host Free Size %zi pointer %p handle 0x%llx", size, ptr, handle);
CUCHECK(cuMemUnmap((CUdeviceptr)ptr, size));
CUCHECK(cuMemRelease(handle));
CUCHECK(cuMemAddressFree((CUdeviceptr)ptr, size));
return result;
}
#else /* CUDART_VERSION >= 12020 */
static inline ncclResult_t ncclCuMemHostAlloc(void** ptr, void* handlep, size_t size) {
WARN("CUMEM Host is not supported prior to CUDA 12.2");
return ncclInternalError;
}
static inline ncclResult_t ncclCuMemHostFree(void* ptr) {
WARN("CUMEM Host is not supported prior to CUDA 12.2");
return ncclInternalError;
}
#endif /* CUDART_VERSION >= 12020 */
template <typename T>
ncclResult_t ncclCudaHostCallocDebug(T** ptr, size_t nelem, const char *filefunc, int line) {
ncclResult_t result = ncclSuccess;
cudaStreamCaptureMode mode = cudaStreamCaptureModeRelaxed;
*ptr = nullptr;
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
if (nelem > 0) {
CUDACHECKGOTO(cudaHostAlloc(ptr, nelem*ncclSizeOfT<T>(), cudaHostAllocMapped), result, finish);
memset(*ptr, 0, nelem*ncclSizeOfT<T>());
}
finish:
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
if (*ptr == nullptr && nelem > 0) WARN("Failed to CUDA host alloc %ld bytes", nelem*ncclSizeOfT<T>());
INFO(NCCL_ALLOC, "%s:%d Cuda Host Alloc Size %ld pointer %p", filefunc, line, nelem*ncclSizeOfT<T>(), *ptr);
return result;
}
static inline ncclResult_t ncclCudaHostFree(void* ptr) {
CUDACHECK(cudaFreeHost(ptr));
return ncclSuccess;
}
#define ncclCudaHostCalloc(...) ncclCudaHostCallocDebug(__VA_ARGS__, __FILE__, __LINE__)
template <typename T>
ncclResult_t ncclCallocDebug(T** ptr, size_t nelem, const char *filefunc, int line) {
if (nelem > 0) {
T* p = (T*)malloc(nelem*ncclSizeOfT<T>());
if (p == NULL) {
WARN("Failed to malloc %ld bytes", nelem*ncclSizeOfT<T>());
return ncclSystemError;
}
//INFO(NCCL_ALLOC, "%s:%d malloc Size %ld pointer %p", filefunc, line, nelem*ncclSizeOfT<T>(), p);
memset(p, 0, nelem*ncclSizeOfT<T>());
*ptr = p;
} else {
*ptr = NULL;
}
return ncclSuccess;
}
#define ncclCalloc(...) ncclCallocDebug(__VA_ARGS__, __FILE__, __LINE__)
template <typename T>
ncclResult_t ncclRealloc(T** ptr, size_t oldNelem, size_t nelem) {
T* oldp = *ptr;
if (nelem < oldNelem || (oldp == NULL && oldNelem > 0)) return ncclInternalError;
if (nelem == oldNelem) return ncclSuccess;
T* p = (T*)malloc(nelem*ncclSizeOfT<T>());
if (p == NULL) {
WARN("Failed to malloc %ld bytes", nelem*ncclSizeOfT<T>());
return ncclSystemError;
}
if (oldp && oldNelem) memcpy(p, oldp, oldNelem * ncclSizeOfT<T>());
if (oldp) free(oldp);
memset(p+oldNelem, 0, (nelem-oldNelem)*ncclSizeOfT<T>());
*ptr = (T*)p;
INFO(NCCL_ALLOC, "Mem Realloc old size %ld, new size %ld pointer %p", oldNelem*ncclSizeOfT<T>(), nelem*ncclSizeOfT<T>(), *ptr);
return ncclSuccess;
}
#if CUDART_VERSION >= 11030
#include <cuda.h>
#include "cudawrap.h"
// ncclCuMemAllocAddr takes memory handle and size and returns the mapped address pointer
static inline ncclResult_t ncclCuMemAllocAddr(void **ptr, CUmemGenericAllocationHandle *handleIn, size_t size) {
ncclResult_t result = ncclSuccess;
size_t granularity = 0;
CUmemAllocationProp prop = {};
CUmemAccessDesc accessDesc = {};
int cudaDev;
CUDACHECK(cudaGetDevice(&cudaDev));
CUCHECK(cuMemGetAllocationPropertiesFromHandle(&prop, *handleIn));
CUCHECK(cuMemGetAllocationGranularity(&granularity, &prop, CU_MEM_ALLOC_GRANULARITY_MINIMUM));
ALIGN_SIZE(size, granularity);
/* Reserve a virtual address range */
CUCHECK(cuMemAddressReserve((CUdeviceptr *)ptr, size, granularity, 0, 0));
/* Map the virtual address range to the physical allocation */
CUCHECK(cuMemMap((CUdeviceptr)*ptr, size, 0, *handleIn, 0));
/* Now allow RW access to the newly mapped memory */
accessDesc.location.type = CU_MEM_LOCATION_TYPE_DEVICE;
accessDesc.location.id = cudaDev;
accessDesc.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE;
CUCHECK(cuMemSetAccess((CUdeviceptr)*ptr, size, &accessDesc, 1));
TRACE(NCCL_ALLOC, "CuMem Map Size %zu pointer %p handle %llx", size, *ptr, *handleIn);
return result;
}
static inline ncclResult_t ncclCuMemFreeAddr(void *ptr) {
if (ptr == NULL) return ncclSuccess;
ncclResult_t result = ncclSuccess;
size_t size = 0;
CUCHECK(cuMemGetAddressRange(NULL, &size, (CUdeviceptr)ptr));
CUCHECK(cuMemUnmap((CUdeviceptr)ptr, size));
CUCHECK(cuMemAddressFree((CUdeviceptr)ptr, size));
return result;
}
static inline ncclResult_t ncclCuMemAlloc(void **ptr, CUmemGenericAllocationHandle *handlep, size_t size) {
ncclResult_t result = ncclSuccess;
size_t granularity = 0;
CUdevice currentDev;
CUmemAllocationProp prop = {};
CUmemAccessDesc accessDesc = {};
CUmemGenericAllocationHandle handle;
CUmemAllocationHandleType type = ncclCuMemHandleType;
int cudaDev;
int flag = 0;
CUDACHECK(cudaGetDevice(&cudaDev));
CUCHECK(cuDeviceGet(&currentDev, cudaDev));
prop.type = CU_MEM_ALLOCATION_TYPE_PINNED;
prop.location.type = CU_MEM_LOCATION_TYPE_DEVICE;
prop.requestedHandleTypes = type;
prop.location.id = currentDev;
// Query device to see if RDMA support is available
CUCHECK(cuDeviceGetAttribute(&flag, CU_DEVICE_ATTRIBUTE_GPU_DIRECT_RDMA_WITH_CUDA_VMM_SUPPORTED, currentDev));
if (flag) prop.allocFlags.gpuDirectRDMACapable = 1;
CUCHECK(cuMemGetAllocationGranularity(&granularity, &prop, CU_MEM_ALLOC_GRANULARITY_MINIMUM));
ALIGN_SIZE(size, granularity);
/* Allocate the physical memory on the device */
CUCHECK(cuMemCreate(&handle, size, &prop, 0));
/* Reserve a virtual address range */
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 */
accessDesc.location.type = CU_MEM_LOCATION_TYPE_DEVICE;
accessDesc.location.id = currentDev;
accessDesc.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE;
CUCHECK(cuMemSetAccess((CUdeviceptr)*ptr, size, &accessDesc, 1));
if (handlep) *handlep = handle;
TRACE(NCCL_ALLOC, "CuMem Alloc Size %zu pointer %p handle %llx", size, *ptr, handle);
return result;
}
static inline ncclResult_t ncclCuMemFree(void *ptr) {
if (ptr == NULL) return ncclSuccess;
ncclResult_t result = ncclSuccess;
CUmemGenericAllocationHandle handle;
size_t size = 0;
CUCHECK(cuMemRetainAllocationHandle(&handle, ptr));
CUCHECK(cuMemRelease(handle));
CUCHECK(cuMemGetAddressRange(NULL, &size, (CUdeviceptr)ptr));
TRACE(NCCL_ALLOC, "CuMem Free Size %zu pointer %p handle 0x%llx", size, ptr, handle);
CUCHECK(cuMemUnmap((CUdeviceptr)ptr, size));
CUCHECK(cuMemRelease(handle));
CUCHECK(cuMemAddressFree((CUdeviceptr)ptr, size));
return result;
}
#else
extern int ncclCuMemEnable();
static inline ncclResult_t ncclCuMemAlloc(void **ptr, void *handlep, size_t size) {
WARN("CUMEM not supported prior to CUDA 11.3");
return ncclInternalError;
}
static inline ncclResult_t ncclCuMemFree(void *ptr) {
WARN("CUMEM not supported prior to CUDA 11.3");
return ncclInternalError;
}
static inline ncclResult_t ncclCuMemAllocAddr(void **ptr, CUmemGenericAllocationHandle *handleIn, size_t size) {
WARN("CUMEM not supported prior to CUDA 11.3");
return ncclInternalError;
}
static inline ncclResult_t ncclCuMemFreeAddr(void *ptr) {
WARN("CUMEM not supported prior to CUDA 11.3");
return ncclInternalError;
}
#endif
template <typename T>
ncclResult_t ncclCudaMallocDebug(T** ptr, size_t nelem, const char *filefunc, int line) {
ncclResult_t result = ncclSuccess;
cudaStreamCaptureMode mode = cudaStreamCaptureModeRelaxed;
*ptr = nullptr;
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
if (nelem > 0) {
if (ncclCuMemEnable()) {
NCCLCHECKGOTO(ncclCuMemAlloc((void **)ptr, NULL, nelem*ncclSizeOfT<T>()), result, finish);
} else {
CUDACHECKGOTO(cudaMalloc(ptr, nelem*ncclSizeOfT<T>()), result, finish);
}
}
finish:
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
if (*ptr == nullptr && nelem > 0) WARN("Failed to CUDA malloc %ld bytes", nelem*ncclSizeOfT<T>());
INFO(NCCL_ALLOC, "%s:%d Cuda Alloc Size %ld pointer %p", filefunc, line, nelem*ncclSizeOfT<T>(), *ptr);
return result;
}
#define ncclCudaMalloc(...) ncclCudaMallocDebug(__VA_ARGS__, __FILE__, __LINE__)
template <typename T>
ncclResult_t ncclCudaCallocDebug(T** ptr, size_t nelem, const char *filefunc, int line) {
ncclResult_t result = ncclSuccess;
cudaStreamCaptureMode mode = cudaStreamCaptureModeRelaxed;
*ptr = nullptr;
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
if (nelem > 0) {
// Need a side stream so as not to interfere with graph capture.
cudaStream_t stream;
CUDACHECK(cudaStreamCreateWithFlags(&stream, cudaStreamNonBlocking));
if (ncclCuMemEnable()) {
NCCLCHECKGOTO(ncclCuMemAlloc((void **)ptr, NULL, nelem*ncclSizeOfT<T>()), result, finish);
} else {
CUDACHECKGOTO(cudaMalloc(ptr, nelem*ncclSizeOfT<T>()), result, finish);
}
CUDACHECKGOTO(cudaMemsetAsync(*ptr, 0, nelem*ncclSizeOfT<T>(), stream), result, finish);
CUDACHECKGOTO(cudaStreamSynchronize(stream), result, finish);
CUDACHECKGOTO(cudaStreamDestroy(stream), result, finish);
}
finish:
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
if (*ptr == nullptr && nelem > 0) WARN("Failed to CUDA calloc %ld bytes", nelem*ncclSizeOfT<T>());
INFO(NCCL_ALLOC, "%s:%d Cuda Alloc Size %ld pointer %p", filefunc, line, nelem*ncclSizeOfT<T>(), *ptr);
return result;
}
#define ncclCudaCalloc(...) ncclCudaCallocDebug(__VA_ARGS__, __FILE__, __LINE__)
template <typename T>
ncclResult_t ncclCudaCallocAsyncDebug(T** ptr, size_t nelem, cudaStream_t stream, const char *filefunc, int line) {
ncclResult_t result = ncclSuccess;
cudaStreamCaptureMode mode = cudaStreamCaptureModeRelaxed;
*ptr = nullptr;
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
if (nelem > 0) {
if (ncclCuMemEnable()) {
NCCLCHECKGOTO(ncclCuMemAlloc((void **)ptr, NULL, nelem*ncclSizeOfT<T>()), result, finish);
} else {
CUDACHECKGOTO(cudaMalloc(ptr, nelem*ncclSizeOfT<T>()), result, finish);
}
CUDACHECKGOTO(cudaMemsetAsync(*ptr, 0, nelem*ncclSizeOfT<T>(), stream), result, finish);
}
finish:
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
if (*ptr == nullptr && nelem > 0) WARN("Failed to CUDA calloc async %ld bytes", nelem*ncclSizeOfT<T>());
INFO(NCCL_ALLOC, "%s:%d Cuda Alloc Size %ld pointer %p", filefunc, line, nelem*ncclSizeOfT<T>(), *ptr);
return result;
}
#define ncclCudaCallocAsync(...) ncclCudaCallocAsyncDebug(__VA_ARGS__, __FILE__, __LINE__)
template <typename T>
ncclResult_t ncclCudaMemcpy(T* dst, T* src, size_t nelem) {
ncclResult_t result = ncclSuccess;
cudaStreamCaptureMode mode = cudaStreamCaptureModeRelaxed;
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
// Need a side stream so as not to interfere with graph capture.
cudaStream_t stream;
CUDACHECKGOTO(cudaStreamCreateWithFlags(&stream, cudaStreamNonBlocking), result, finish);
NCCLCHECKGOTO(ncclCudaMemcpyAsync(dst, src, nelem, stream), result, finish);
CUDACHECKGOTO(cudaStreamSynchronize(stream), result, finish);
CUDACHECKGOTO(cudaStreamDestroy(stream), result, finish);
finish:
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
return result;
}
template <typename T>
ncclResult_t ncclCudaMemcpyAsync(T* dst, T* src, size_t nelem, cudaStream_t stream) {
ncclResult_t result = ncclSuccess;
cudaStreamCaptureMode mode = cudaStreamCaptureModeRelaxed;
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
CUDACHECKGOTO(cudaMemcpyAsync(dst, src, nelem*ncclSizeOfT<T>(), cudaMemcpyDefault, stream), result, finish);
finish:
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
return result;
}
template <typename T>
ncclResult_t ncclCudaFree(T* ptr) {
ncclResult_t result = ncclSuccess;
cudaStreamCaptureMode mode = cudaStreamCaptureModeRelaxed;
TRACE(NCCL_ALLOC, "Cuda Free pointer %p", ptr);
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
if (ncclCuMemEnable()) {
NCCLCHECKGOTO(ncclCuMemFree((void *)ptr), result, finish);
} else {
CUDACHECKGOTO(cudaFree(ptr), result, finish);
}
finish:
CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode));
return result;
}
// Allocate memory to be potentially ibv_reg_mr'd. This needs to be
// allocated on separate pages as those pages will be marked DONTFORK
// and if they are shared, that could cause a crash in a child process
inline ncclResult_t ncclIbMallocDebug(void** ptr, size_t size, const char *filefunc, int line) {
if (size > 0) {
long page_size = sysconf(_SC_PAGESIZE);
if (page_size < 0) return ncclSystemError;
void* p;
int size_aligned = ROUNDUP(size, page_size);
int ret = posix_memalign(&p, page_size, size_aligned);
if (ret != 0) return ncclSystemError;
memset(p, 0, size);
*ptr = p;
} else {
*ptr = NULL;
}
INFO(NCCL_ALLOC, "%s:%d Ib Alloc Size %ld pointer %p", filefunc, line, size, *ptr);
return ncclSuccess;
}
#define ncclIbMalloc(...) ncclIbMallocDebug(__VA_ARGS__, __FILE__, __LINE__)
#endif