93 lines
3.6 KiB
C++
93 lines
3.6 KiB
C++
/*************************************************************************
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* Copyright (c) 2015-2022, NVIDIA CORPORATION. All rights reserved.
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*
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* See LICENSE.txt for license information
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************************************************************************/
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#include "devcomm.h"
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#include "collectives.h"
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#include "primitives.h"
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namespace {
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template<typename T, typename RedOp, typename Proto>
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__device__ __forceinline__ void runRing(ncclWorkElem *args) {
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const int tid = threadIdx.x;
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const int nthreads = args->nWarps*WARP_SIZE;
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const int bid = args->bid;
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const int nChannels = args->nChannels;
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ncclRing *ring = &ncclShmem.channel.ring;
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const ssize_t chunkSize = int(Proto::calcBytePerStep()/sizeof(T) * args->stepsPerSlice);
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const ssize_t minChunkSizeLL128 = int(nthreads*(Proto::calcBytePerGrain()/sizeof(T)));
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const int nranks = ncclShmem.comm.nRanks;
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const ssize_t loopSize = nChannels*chunkSize;
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const ssize_t size = args->count;
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const int rank = ncclShmem.comm.rank;
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const int prevRank = ring->userRanks[nranks-1];
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const int root = args->root;
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Primitives<T, RedOp, FanSymmetric<1>, 0, Proto, 0>
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prims(tid, nthreads, &ring->prev, &ring->next, args->sendbuff, args->recvbuff, args->redOpArg,
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args->stepsPerSlice, args->slicesPerChunk);
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auto calcChunkSize = [&]__device__(ssize_t gridOffset)->int {
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int realChunkSize;
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if (Proto::Id == NCCL_PROTO_SIMPLE) {
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realChunkSize = min(chunkSize, divUp(size-gridOffset, nChannels));
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realChunkSize = roundUp(realChunkSize, (nthreads-WARP_SIZE)*sizeof(uint64_t)/sizeof(T));
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}
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else if (Proto::Id == NCCL_PROTO_LL)
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realChunkSize = size-gridOffset < loopSize ? args->lastChunkSize : chunkSize;
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else if (Proto::Id == NCCL_PROTO_LL128)
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realChunkSize = min(divUp(size-gridOffset, nChannels*minChunkSizeLL128)*minChunkSizeLL128, chunkSize);
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return realChunkSize;
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};
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if (prevRank == root) {
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for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
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int realChunkSize = calcChunkSize(gridOffset);
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ssize_t offset = gridOffset + bid*realChunkSize;
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int nelem = min(realChunkSize, size-offset);
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prims.send(offset, nelem);
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}
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}
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else if (rank == root) {
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for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
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int realChunkSize = calcChunkSize(gridOffset);
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ssize_t offset = gridOffset + bid*realChunkSize;
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int nelem = min(realChunkSize, size-offset);
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prims.recvReduceCopy(offset, offset, nelem, /*postOp=*/true);
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}
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}
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else {
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for (ssize_t gridOffset = 0; gridOffset < size; gridOffset += loopSize) {
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int realChunkSize = calcChunkSize(gridOffset);
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ssize_t offset = gridOffset + bid*realChunkSize;
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int nelem = min(realChunkSize, size-offset);
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prims.recvReduceSend(offset, nelem);
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}
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}
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}
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}
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template<typename T, typename RedOp>
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struct RunWorkElement<ncclFuncReduce, T, RedOp, NCCL_ALGO_RING, NCCL_PROTO_SIMPLE> {
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__device__ __forceinline__ void run(ncclWorkElem *args) {
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using Proto = ProtoSimple<>;
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runRing<T, RedOp, Proto>(args);
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}
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};
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template<typename T, typename RedOp>
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struct RunWorkElement<ncclFuncReduce, T, RedOp, NCCL_ALGO_RING, NCCL_PROTO_LL> {
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__device__ __forceinline__ void run(ncclWorkElem *args) {
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runRing<T, RedOp, ProtoLL>(args);
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}
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};
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template<typename T, typename RedOp>
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struct RunWorkElement<ncclFuncReduce, T, RedOp, NCCL_ALGO_RING, NCCL_PROTO_LL128> {
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__device__ __forceinline__ void run(ncclWorkElem *args) {
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runRing<T, RedOp, ProtoLL128>(args);
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}
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};
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