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mscclpp/test/allreduce_test.cu
2023-05-11 09:20:41 +00:00

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#include <cuda/barrier>
#include <tuple>
#include <vector>
#include "comm.h"
#include "common.h"
#define ALIGN 4
const int phase2Tag = 2;
mscclppDevConn_t* conns;
void* scratch = nullptr;
void* sendRecvData = nullptr;
cuda::barrier<cuda::thread_scope_device>* barrier = nullptr;
struct Chunk
{
size_t offset;
size_t size;
};
inline int getSendTag(int rank, int peer)
{
return rank < peer ? 0 : 1;
}
inline int getRecvTag(int rank, int peer)
{
return rank < peer ? 1 : 0;
}
__host__ __device__ Chunk getChunk(size_t dataCount, size_t numChunks, size_t chunkIdx, size_t chunkCount)
{
size_t remainder = dataCount % numChunks;
size_t smallChunkSize = dataCount / numChunks;
size_t largeChunkSize = smallChunkSize + 1;
size_t numLargeChunks = chunkIdx < remainder ? remainder - chunkIdx : 0;
size_t numSmallChunks = chunkCount - numLargeChunks;
size_t offset =
(remainder - numLargeChunks) * largeChunkSize + (chunkIdx > remainder ? chunkIdx - remainder : 0) * smallChunkSize;
return Chunk{offset, numLargeChunks * largeChunkSize + numSmallChunks * smallChunkSize};
}
__host__ __device__ int peerIdx(int peerRank, int rank)
{
return peerRank < rank ? peerRank : peerRank - 1;
}
__host__ __device__ int peerRank(int peerIdx, int rank)
{
return peerIdx < rank ? peerIdx : peerIdx + 1;
}
__host__ __device__ int phase1SendConnIdx(int peerRank, int rank)
{
return peerIdx(peerRank, rank) * 3;
}
__host__ __device__ int phase1RecvConnIdx(int peerRank, int rank)
{
return peerIdx(peerRank, rank) * 3 + 1;
}
__host__ __device__ int phase2ConnIdx(int peerRank, int rank)
{
return peerIdx(peerRank, rank) * 3 + 2;
}
__device__ void send(mscclppDevConn_t& conn, size_t srcOffset, size_t dstOffset, size_t size)
{
if (threadIdx.x == 0) {
conn.putWithSignalAndFlush(dstOffset, srcOffset, size);
}
__syncthreads();
}
__device__ void recv(mscclppDevConn_t& conn)
{
if (threadIdx.x == 0) {
conn.wait();
}
__syncthreads();
}
__device__ void reduceSum(int* dst, int* src, size_t size)
{
for (int i = threadIdx.x; i < size; i += blockDim.x) {
dst[i] += src[i];
}
}
__global__ void initData(int* data, size_t size, int rank)
{
for (int i = threadIdx.x; i < size; i += blockDim.x) {
data[i] = rank;
}
}
__global__ void allReduceKernel0(int rank, int nRanks, size_t dataCount, size_t scratchDataCount,
mscclppDevConn_t* conns, void* scratch, void* sendRecvData,
cuda::barrier<cuda::thread_scope_device>* barrier)
{
int idx = blockIdx.x;
int peer = peerRank(idx, rank);
mscclppDevConn_t phase1SendConn = conns[phase1SendConnIdx(peer, rank)];
mscclppDevConn_t phase1RecvConn = conns[phase1RecvConnIdx(peer, rank)];
mscclppDevConn_t phase2Conn = conns[phase2ConnIdx(peer, rank)];
// 1st communication phase: send data to the scratch buffer of the peer associated with this block
Chunk toPeerChunk = getChunk(dataCount, nRanks, peer, 1);
// Now we need to figure out the offset of this chunk in the scratch buffer of the destination.
// The destination will have allocated a scratch buffer of size numPeers() * toPeerChunk.size and
// inside that each of the destination's peers send to the nth chunk, where n is the index of the
// source peer from the destination's perspective.
size_t dstOffset = peerIdx(rank, peer) * toPeerChunk.size;
send(phase1SendConn, toPeerChunk.offset * sizeof(int), dstOffset * sizeof(int), toPeerChunk.size * sizeof(int));
recv(phase1RecvConn);
if (threadIdx.x == 0)
barrier->arrive_and_wait();
__syncthreads();
// Local reduction: every block reduces a slice of each chunk in the scratch buffer into the user buffer
Chunk rankChunk = getChunk(dataCount, nRanks, rank, 1);
int* chunk = (int*)sendRecvData + rankChunk.offset;
int numPeers = nRanks - 1, numBlocks = nRanks - 1;
Chunk blockUserChunk = getChunk(rankChunk.size, numBlocks, idx, 1);
for (int peerIdx = 0; peerIdx < numPeers; ++peerIdx) {
assert(scratchDataCount % numPeers == 0);
assert(scratchDataCount / numPeers == rankChunk.size);
size_t scratchDataCountPerPeer = scratchDataCount / numPeers;
int* scratchChunk = (int*)scratch + peerIdx * scratchDataCountPerPeer;
Chunk blockScratchChunk = getChunk(scratchDataCountPerPeer, numBlocks, idx, 1);
assert(blockScratchChunk.size == blockUserChunk.size);
reduceSum(chunk + blockUserChunk.offset, scratchChunk + blockScratchChunk.offset, blockScratchChunk.size);
}
if (threadIdx.x == 0)
barrier->arrive_and_wait();
__syncthreads();
// 2nd communication phase: send the now reduced data between the user buffers
Chunk collectionChunk = getChunk(dataCount, nRanks, rank, 1);
send(phase2Conn, collectionChunk.offset * sizeof(int), collectionChunk.offset * sizeof(int),
collectionChunk.size * sizeof(int));
recv(phase2Conn);
}
void AllReduceGetCollByteCount(size_t* sendcount, size_t* recvcount, size_t* paramcount, size_t* sendInplaceOffset,
size_t* recvInplaceOffset, size_t count, int nranks)
{
size_t base = (count / ALIGN) * ALIGN;
*sendcount = base;
*recvcount = base;
*sendInplaceOffset = 0;
*recvInplaceOffset = 0;
*paramcount = base;
}
void AllReduceGetBuffSize(size_t* sendcount, size_t* recvcount, size_t count, int nranks)
{
size_t paramcount, sendInplaceOffset, recvInplaceOffset;
AllReduceGetCollByteCount(sendcount, recvcount, &paramcount, &sendInplaceOffset, &recvInplaceOffset, count, nranks);
}
testResult_t AllReduceInitData(struct testArgs* args, int in_place)
{
size_t recvcount = args->expectedBytes / sizeof(int);
CUDACHECK(cudaSetDevice(args->gpuNum));
CUDACHECK(cudaMemset(args->recvbuff, 0, args->expectedBytes));
initData<<<1, 256>>>((int*)args->recvbuff, recvcount, args->proc);
int* dataHost = new int[recvcount];
for (size_t i = 0; i < recvcount; i++) {
dataHost[i] = args->totalProcs * (args->totalProcs - 1) / 2;
}
CUDACHECK(cudaMemcpy(args->expected, dataHost, recvcount * sizeof(int), cudaMemcpyHostToDevice));
delete dataHost;
CUDACHECK(cudaDeviceSynchronize());
MSCCLPPCHECK(mscclppBootstrapBarrier(args->comm));
return testSuccess;
}
void AllReduceGetBw(size_t count, int typesize, double sec, double* algBw, double* busBw, int nranks)
{
double baseBw = (double)(count * typesize) / 1.0E9 / sec;
*algBw = baseBw;
double factor = (2 * (double)(nranks - 1)) / ((double)nranks);
*busBw = baseBw * factor;
}
testResult_t AllReduceRunColl(void* sendbuff, void* recvbuff, int nranksPerNode, size_t nBytes, mscclppComm_t comm,
cudaStream_t stream, int kernelNum)
{
int worldSize = comm->nRanks;
int nPeers = worldSize - 1;
int dataCount = nBytes / sizeof(int);
Chunk chunk = getChunk(dataCount, worldSize, comm->rank, 1);
size_t scratchDataCount = chunk.size * nPeers;
allReduceKernel0<<<worldSize - 1, 256, 0, stream>>>(comm->rank, worldSize, dataCount, scratchDataCount, conns,
scratch, sendRecvData, barrier);
return testSuccess;
}
struct testColl allReduceTest = {"AllReduce", AllReduceGetCollByteCount, defaultInitColl, AllReduceInitData,
AllReduceGetBw, AllReduceRunColl};
testResult_t AllReduceSetupMscclppConnections(struct testArgs* args)
{
int rank = args->proc, worldSize = args->totalProcs;
size_t bufferSize = args->maxbytes;
Chunk chunk = getChunk(bufferSize / sizeof(int), args->totalProcs, rank, 1);
int nPeers = args->totalProcs - 1;
size_t scratchBytes = chunk.size * nPeers * sizeof(int);
CUDACHECK(cudaMalloc(&scratch, scratchBytes));
for (int peer = 0; peer < worldSize; ++peer) {
if (peer != args->proc) {
int sendTag = getSendTag(args->proc, peer);
int recvTag = getRecvTag(args->proc, peer);
MSCCLPPCHECK(mscclppConnect(args->comm, peer, sendTag, args->recvbuff, bufferSize, mscclppTransportP2P, nullptr));
MSCCLPPCHECK(mscclppConnect(args->comm, peer, recvTag, scratch, scratchBytes, mscclppTransportP2P, nullptr));
MSCCLPPCHECK(
mscclppConnect(args->comm, peer, phase2Tag, args->recvbuff, bufferSize, mscclppTransportP2P, nullptr));
}
}
MSCCLPPCHECK(mscclppConnectionSetup(args->comm));
return testSuccess;
}
testResult_t AllReduceTeardownMscclppConnections()
{
if (scratch != nullptr) {
CUDACHECK(cudaFree(scratch));
scratch = nullptr;
}
return testSuccess;
}
testResult_t AllReduceRunTest(struct testArgs* args)
{
args->collTest = &allReduceTest;
sendRecvData = args->recvbuff;
CUDACHECK(cudaMalloc(&barrier, sizeof(cuda::barrier<cuda::thread_scope_device>)));
cuda::barrier<cuda::thread_scope_device> initBarrier(args->totalProcs - 1);
CUDACHECK(
cudaMemcpy(barrier, &initBarrier, sizeof(cuda::barrier<cuda::thread_scope_device>), cudaMemcpyHostToDevice));
int nPeers = args->totalProcs - 1;
int rank = args->proc;
std::vector<mscclppDevConn_t> hostConns(nPeers * 3, mscclppDevConn_t());
for (int peer = 0; peer < args->totalProcs; ++peer) {
mscclppDevConn_t* devConn;
if (peer != rank) {
int sendTag = getSendTag(args->proc, peer);
int recvTag = getRecvTag(args->proc, peer);
MSCCLPPCHECK(mscclppGetDeviceConnection(args->comm, peer, sendTag, &devConn));
hostConns[phase1SendConnIdx(peer, rank)] = *devConn;
MSCCLPPCHECK(mscclppGetDeviceConnection(args->comm, peer, recvTag, &devConn));
hostConns[phase1RecvConnIdx(peer, rank)] = *devConn;
MSCCLPPCHECK(mscclppGetDeviceConnection(args->comm, peer, phase2Tag, &devConn));
hostConns[phase2ConnIdx(peer, rank)] = *devConn;
}
}
CUDACHECK(cudaMalloc(&conns, nPeers * 3 * sizeof(mscclppDevConn_t)));
CUDACHECK(cudaMemcpy(conns, hostConns.data(), hostConns.size() * sizeof(mscclppDevConn_t), cudaMemcpyHostToDevice));
TESTCHECK(TimeTest(args));
CUDACHECK(cudaFree(barrier));
CUDACHECK(cudaFree(conns));
return testSuccess;
}
struct testEngine allReduceEngine = {AllReduceGetBuffSize, AllReduceRunTest, AllReduceSetupMscclppConnections,
AllReduceTeardownMscclppConnections};
#pragma weak mscclppTestEngine = allReduceEngine