/************************************************************************* * 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 "align.h" #include "utils.h" #include "p2p.h" #include #include #include #include uint64_t clockNano(); // from utils.h with which we have a circular dependency template 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)); CUDACHECKGOTO(cudaHostAlloc(ptr, nelem*sizeof(T), cudaHostAllocMapped), result, finish); memset(*ptr, 0, nelem*sizeof(T)); finish: CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode)); if (*ptr == nullptr) WARN("Failed to CUDA host alloc %ld bytes", nelem*sizeof(T)); INFO(NCCL_ALLOC, "%s:%d Cuda Host Alloc Size %ld pointer %p", filefunc, line, nelem*sizeof(T), *ptr); return result; } #define ncclCudaHostCalloc(...) ncclCudaHostCallocDebug(__VA_ARGS__, __FILE__, __LINE__) inline ncclResult_t ncclCudaHostFree(void* ptr) { CUDACHECK(cudaFreeHost(ptr)); return ncclSuccess; } template ncclResult_t ncclCallocDebug(T** ptr, size_t nelem, const char *filefunc, int line) { void* p = malloc(nelem*sizeof(T)); if (p == NULL) { WARN("Failed to malloc %ld bytes", nelem*sizeof(T)); return ncclSystemError; } //INFO(NCCL_ALLOC, "%s:%d malloc Size %ld pointer %p", filefunc, line, nelem*sizeof(T), p); memset(p, 0, nelem*sizeof(T)); *ptr = (T*)p; return ncclSuccess; } #define ncclCalloc(...) ncclCallocDebug(__VA_ARGS__, __FILE__, __LINE__) template ncclResult_t ncclRealloc(T** ptr, size_t oldNelem, size_t nelem) { if (nelem < oldNelem) return ncclInternalError; if (nelem == oldNelem) return ncclSuccess; T* oldp = *ptr; T* p = (T*)malloc(nelem*sizeof(T)); if (p == NULL) { WARN("Failed to malloc %ld bytes", nelem*sizeof(T)); return ncclSystemError; } memcpy(p, oldp, oldNelem*sizeof(T)); free(oldp); memset(p+oldNelem, 0, (nelem-oldNelem)*sizeof(T)); *ptr = (T*)p; INFO(NCCL_ALLOC, "Mem Realloc old size %ld, new size %ld pointer %p", oldNelem*sizeof(T), nelem*sizeof(T), *ptr); return ncclSuccess; } #if CUDART_VERSION >= 11030 #include #include "cudawrap.h" 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; int cudaDev; int flag = 0; CUDACHECK(cudaGetDevice(&cudaDev)); CUCHECK(cuDeviceGet(¤tDev, cudaDev)); prop.type = CU_MEM_ALLOCATION_TYPE_PINNED; prop.location.type = CU_MEM_LOCATION_TYPE_DEVICE; prop.requestedHandleTypes = NCCL_P2P_HANDLE_TYPE; // So it can be exported prop.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) 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 %zi 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 %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 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; } #endif template 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 (ncclCuMemEnable()) { NCCLCHECKGOTO(ncclCuMemAlloc((void **)ptr, NULL, nelem*sizeof(T)), result, finish); } else { CUDACHECKGOTO(cudaMalloc(ptr, nelem*sizeof(T)), result, finish); } finish: CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode)); if (*ptr == nullptr) WARN("Failed to CUDA malloc %ld bytes", nelem*sizeof(T)); INFO(NCCL_ALLOC, "%s:%d Cuda Alloc Size %ld pointer %p", filefunc, line, nelem*sizeof(T), *ptr); return result; } #define ncclCudaMalloc(...) ncclCudaMallocDebug(__VA_ARGS__, __FILE__, __LINE__) template 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)); // 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*sizeof(T)), result, finish); } else { CUDACHECKGOTO(cudaMalloc(ptr, nelem*sizeof(T)), result, finish); } CUDACHECKGOTO(cudaMemsetAsync(*ptr, 0, nelem*sizeof(T), stream), result, finish); CUDACHECKGOTO(cudaStreamSynchronize(stream), result, finish); CUDACHECKGOTO(cudaStreamDestroy(stream), result, finish); finish: CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode)); if (*ptr == nullptr) WARN("Failed to CUDA calloc %ld bytes", nelem*sizeof(T)); INFO(NCCL_ALLOC, "%s:%d Cuda Alloc Size %ld pointer %p", filefunc, line, nelem*sizeof(T), *ptr); return result; } #define ncclCudaCalloc(...) ncclCudaCallocDebug(__VA_ARGS__, __FILE__, __LINE__) template 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 (ncclCuMemEnable()) { NCCLCHECKGOTO(ncclCuMemAlloc((void **)ptr, NULL, nelem*sizeof(T)), result, finish); } else { CUDACHECKGOTO(cudaMalloc(ptr, nelem*sizeof(T)), result, finish); } CUDACHECKGOTO(cudaMemsetAsync(*ptr, 0, nelem*sizeof(T), stream), result, finish); finish: CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode)); if (*ptr == nullptr) WARN("Failed to CUDA calloc async %ld bytes", nelem*sizeof(T)); INFO(NCCL_ALLOC, "%s:%d Cuda Alloc Size %ld pointer %p", filefunc, line, nelem*sizeof(T), *ptr); return result; } #define ncclCudaCallocAsync(...) ncclCudaCallocAsyncDebug(__VA_ARGS__, __FILE__, __LINE__) template 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 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*sizeof(T), cudaMemcpyDefault, stream), result, finish); finish: CUDACHECK(cudaThreadExchangeStreamCaptureMode(&mode)); return result; } template 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) { size_t page_size = sysconf(_SC_PAGESIZE); 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; 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