| /** |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| #ifndef SINGA_DIST_COMMUNICATOR_H_ |
| #define SINGA_DIST_COMMUNICATOR_H_ |
| |
| #ifdef USE_DIST |
| |
| #include <cuda_runtime.h> |
| #include <cusparse.h> |
| #include <mpi.h> |
| #include <nccl.h> |
| #include <unistd.h> |
| |
| #include <cstdint> |
| #include <iostream> |
| #include <memory> |
| |
| #include "cuda_fp16.h" |
| #include "singa/core/tensor.h" |
| using std::vector; |
| |
| namespace singa { |
| |
| #define CUSPARSE_CHECK(cmd) \ |
| do { \ |
| cusparseStatus_t e = cmd; \ |
| if (e != CUSPARSE_STATUS_SUCCESS) { \ |
| printf("Falied: Cusparse Error %s:%d '%d'\n", __FILE__, __LINE__, \ |
| int(e)); \ |
| exit(EXIT_FAILURE); \ |
| } \ |
| } while (0) |
| |
| #define MPICHECK(cmd) \ |
| do { \ |
| int e = cmd; \ |
| if (e != MPI_SUCCESS) { \ |
| printf("Failed: MPI error %s:%d '%d'\n", __FILE__, __LINE__, e); \ |
| exit(EXIT_FAILURE); \ |
| } \ |
| } while (0) |
| |
| #define NCCLCHECK(cmd) \ |
| do { \ |
| ncclResult_t r = cmd; \ |
| if (r != ncclSuccess) { \ |
| printf("Failed, NCCL error %s:%d '%s'\n", __FILE__, __LINE__, \ |
| ncclGetErrorString(r)); \ |
| exit(EXIT_FAILURE); \ |
| } \ |
| } while (0) |
| |
| class NcclIdHolder { |
| public: |
| ncclUniqueId id; |
| NcclIdHolder(); |
| ~NcclIdHolder(); |
| }; |
| |
| class Communicator { |
| public: |
| int global_rank; |
| int world_size; |
| int local_rank; |
| |
| Communicator(int limit); |
| Communicator(int local_rank, int world_size, const NcclIdHolder &holder, int size); |
| ~Communicator(); |
| void synch(Tensor &t); |
| void fusedSynch(vector<Tensor> &t, bool send = true); |
| void synchHalf(Tensor &t); |
| void fusedSynchHalf(vector<Tensor> &t, bool send = true); |
| void fusedSparsification(vector<Tensor> &t, Tensor &accumulation, |
| float sparsThreshold, bool topK); |
| void fusedSparsification(vector<Tensor> &t, float sparsThreshold, bool topK); |
| void sparsification(Tensor &t, Tensor &accumulation, float sparsThreshold, |
| bool topK); |
| void sparsification(Tensor &t, float sparsThreshold, bool topK); |
| void wait(); |
| |
| private: |
| void generateBlocks(Tensor &t); |
| void generateBlocks(std::vector<Tensor> &t); |
| void allReduce(int size, void *sendbuff, void *recvbuff, |
| ncclDataType_t ncclType, Context *ctx); |
| void setup(); |
| void sparsInit(); |
| void halfInit(); |
| void _fusedSparsification(vector<Tensor> &t, Tensor *accumulation, |
| float sparsThreshold, bool topK, Context *ctx); |
| void _sparsification(Tensor &t, Tensor *accumulation, float sparsThreshold, |
| bool topK, Context *ctx); |
| void valSparsAllReduce(size_t num, void *accumulation, Context *ctx); |
| void topKSparsAllReduce(size_t num, void *accumulation, Context *ctx); |
| |
| // last group of synchronized memory blocks |
| std::shared_ptr<Device> device_ = nullptr; |
| std::vector<Block *> blocks_; |
| std::vector<Block *> prev_blocks_; |
| |
| ncclUniqueId id; |
| ncclComm_t comm; |
| cudaEvent_t event; |
| |
| bool UseMPI; |
| size_t maxSize; |
| |
| // normal synch |
| size_t sendBuffOffset = 0; |
| void *fusedSendBuff; |
| void *fusedRecvBuff; |
| void *offsetPointer; |
| size_t dataSize; |
| ncclDataType_t ncclType; |
| |
| // half synch |
| bool halfInitialized; |
| void *fusedSendBuffHalf; |
| void *fusedRecvBuffHalf; |
| |
| // sparsification |
| cusparseHandle_t cusparse_handle; |
| cusparseMatDescr_t descrC; |
| bool sparsInitialized; |
| int *xInd; |
| float *xVal; |
| int *nnz; |
| int *nnzAll; |
| int *nnzGPU; |
| int *nnzAllGPU; |
| float threshold; |
| void *sparsSendBuff; |
| void *sparsRecvBuff; |
| void *backupBuff; |
| int *fusedIndex; |
| }; |
| } // namespace singa |
| |
| #endif // USE_DIST |
| #endif |