84 lines
3.3 KiB
Plaintext
84 lines
3.3 KiB
Plaintext
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/*************************************************************************
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* Copyright (c) 2015, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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************************************************************************/
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#include <sys/types.h>
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#include <unistd.h>
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#include "nccl.h"
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#include "mpi.h"
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#define CUDACHECK(cmd) do { \
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cudaError_t e = cmd; \
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if( e != cudaSuccess ) { \
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printf("Cuda failure %s:%d '%s'\n", \
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__FILE__,__LINE__,cudaGetErrorString(e)); \
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exit(EXIT_FAILURE); \
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} \
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} while(false)
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int main(int argc, char *argv[]) {
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ncclUniqueId commId;
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int size, rank;
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int ret;
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MPI_Init(&argc, &argv);
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MPI_Comm_size(MPI_COMM_WORLD, &size);
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MPI_Comm_rank(MPI_COMM_WORLD, &rank);
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int gpu = atoi(argv[rank+1]);
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printf("MPI Rank %d running on GPU %d\n", rank, gpu);
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// We have to set our device before NCCL init
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CUDACHECK(cudaSetDevice(gpu));
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MPI_Barrier(MPI_COMM_WORLD);
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ncclComm_t comm;
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// Let's use rank 0 PID as job ID
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ncclGetUniqueId(&commId);
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MPI_Bcast(&commId, NCCL_UNIQUE_ID_BYTES, MPI_CHAR, 0, MPI_COMM_WORLD);
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ret = ncclCommInitRank(&comm, size, commId, rank);
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if (ret != ncclSuccess) {
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printf("NCCL Init failed : %d\n", ret);
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exit(1);
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}
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int *dptr;
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CUDACHECK(cudaMalloc(&dptr, 1024*2*sizeof(int)));
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int val = rank;
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CUDACHECK(cudaMemcpy(dptr, &val, sizeof(int), cudaMemcpyHostToDevice));
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ncclAllReduce((const void*)dptr, (void*)(dptr+1024), 1024, ncclInt, ncclSum, comm, cudaStreamDefault);
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CUDACHECK(cudaMemcpy(&val, (dptr+1024), sizeof(int), cudaMemcpyDeviceToHost));
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printf("Sum is %d\n", val);
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CUDACHECK(cudaFree(dptr));
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MPI_Finalize();
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ncclCommDestroy(comm);
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return 0;
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}
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