/************************************************************************* * Copyright (c) 2016-2022, NVIDIA CORPORATION. All rights reserved. * Modifications Copyright (c) 2022 Advanced Micro Devices, Inc. All rights reserved. * * See LICENSE.txt for license information ************************************************************************/ #include "common.h" #include "cuda_runtime.h" #define ALIGN 4 void HyperCubeGetCollByteCount(size_t* sendcount, size_t* recvcount, size_t* paramcount, size_t* sendInplaceOffset, size_t* recvInplaceOffset, size_t count, size_t eltSize, int nranks) { size_t base = (count / nranks) & -(16 / eltSize); *sendcount = base; *recvcount = base * nranks; *sendInplaceOffset = base; *recvInplaceOffset = 0; *paramcount = base; } testResult_t HyperCubeInitData(struct threadArgs* args, ncclDataType_t type, ncclRedOp_t op, int root, int rep, int in_place) { size_t sendcount = args->sendBytes / wordSize(type); size_t recvcount = args->expectedBytes / wordSize(type); int nranks = args->nProcs * args->nThreads * args->nGpus; for(int i = 0; i < args->nGpus; i++) { CUDACHECK(cudaSetDevice(args->gpus[i])); int rank = ((args->proc * args->nThreads + args->thread) * args->nGpus + i); CUDACHECK(cudaMemset(args->recvbuffs[i], 0, args->expectedBytes)); void* data = in_place ? ((char*) args->recvbuffs[i]) + rank * args->sendBytes : args->sendbuffs[i]; TESTCHECK(InitData(data, sendcount, 0, type, ncclSum, 33 * rep + rank, 1, 0)); for(int j = 0; j < nranks; j++) { TESTCHECK(InitData((char*) args->expected[i] + args->sendBytes * j, sendcount, 0, type, ncclSum, 33 * rep + j, 1, 0)); } CUDACHECK(cudaDeviceSynchronize()); } return testSuccess; } void HyperCubeGetBw(size_t count, int typesize, double sec, double* algBw, double* busBw, int nranks) { double baseBw = (double) (count * typesize * (nranks - 1)) / 1.0E9 / sec; *algBw = baseBw; double factor = 1; *busBw = baseBw * factor; } testResult_t HyperCubeRunColl(void* sendbuff, void* recvbuff, size_t count, ncclDataType_t type, ncclRedOp_t op, int root, ncclComm_t comm, cudaStream_t stream) { char* sbuff = (char*) sendbuff; char* rbuff = (char*) recvbuff; int nRanks; NCCLCHECK(ncclCommCount(comm, &nRanks)); int rank; NCCLCHECK(ncclCommUserRank(comm, &rank)); size_t rankSize = count * wordSize(type); if(rbuff + rank * rankSize != sbuff) CUDACHECK(cudaMemcpyAsync(rbuff + rank * rankSize, sbuff, rankSize, cudaMemcpyDeviceToDevice, stream)); // Hypercube AllGather for(int mask = 1; mask < nRanks; mask <<= 1) { NCCLCHECK(ncclGroupStart()); int s = rank & ~(mask - 1); int r = s ^ mask; NCCLCHECK(ncclSend(rbuff + s * rankSize, count * mask, type, rank ^ mask, comm, stream)); NCCLCHECK(ncclRecv(rbuff + r * rankSize, count * mask, type, rank ^ mask, comm, stream)); NCCLCHECK(ncclGroupEnd()); } return testSuccess; } struct testColl hyperCubeTest = { "HyperCube", HyperCubeGetCollByteCount, HyperCubeInitData, HyperCubeGetBw, HyperCubeRunColl }; void HyperCubeGetBuffSize(size_t* sendcount, size_t* recvcount, size_t count, int nranks) { size_t paramcount, sendInplaceOffset, recvInplaceOffset; HyperCubeGetCollByteCount(sendcount, recvcount, ¶mcount, &sendInplaceOffset, &recvInplaceOffset, count, /*eltSize=*/1, nranks); } testResult_t HyperCubeRunTest(struct threadArgs* args, int root, ncclDataType_t type, const char* typeName, ncclRedOp_t op, const char* opName) { args->collTest = &hyperCubeTest; ncclDataType_t* run_types; const char** run_typenames; int type_count; if((int) type != -1) { type_count = 1; run_types = &type; run_typenames = &typeName; } else { type_count = test_typenum; run_types = test_types; run_typenames = test_typenames; } // Check if this is a power of 2 int nRanks = args->nProcs * args->nThreads * args->nGpus; if(nRanks && !(nRanks & (nRanks - 1))) { for(int i = 0; i < type_count; i++) { TESTCHECK( TimeTest(args, run_types[i], run_typenames[i], (ncclRedOp_t) 0, "", -1)); } } else { printf("nRanks %d is not a power of 2, skipping\n", nRanks); } return testSuccess; } struct testEngine ncclTestEngine = { HyperCubeGetBuffSize, HyperCubeRunTest };