(这个唯一的ID是用来标识通信组,因此所有通信组中的rank有相同的ID)/// // 在rank 0上获取NCCL的唯一ID,并使用MPI_Bcast广播给所有其他进程 if (myRank == 0) ncclGetUniqueId(&id); MPICHECK(MPI_Bcast((void *)&id, sizeof(id), MPI_BYTE, 0, MPI_COMM_WORLD)); ///5、基于localrank绑定GPU...
开始之前,需要使用ncclGetUniqueId()来创建一个unique的ID,通过广播给所有相关的线程和进程,这个Unique ID被所有进程和线程共享,让他们进行同步,并理解它们是同一个communitor的一部分(这里的broadcast使用的是cpu的通信机制, 比如MPI或者socket)。也可以调用ncclCommInitALL来一次性创建一个Communicator对象。但因为限制...
static ncclResult_t initTransportsRank(struct ncclComm* comm, ncclUniqueId* commId) { // We use 3 AllGathers // 1. { peerInfo, comm } // 2. ConnectTransport[nranks], ConnectValue[nranks] // 3. { nThreads, nrings, compCap, prev[MAXCHANNELS], next[MAXCHANNELS] } int r...
printf("[%s +%d %s] example ./nccl_CommInitAll_CommDestroy.elf num is the number can used \n", __FILE__, __LINE__, __func__); printf("./nccl_CommInitAll_CommDestroy.elf 1 \n"); printf("./nccl_CommInitAll_CommDestroy.elf 2 \n"); printf("./nccl_CommInitAll_CommDestroy....
static ncclResult_t setupChannel(struct ncclComm* comm, int channelId, int rank, int nranks, int* ringRanks) { TRACE(NCCL_INIT, "rank %d nranks %d", rank, nranks); NCCLCHECK(initChannel(comm, channelId)); struct ncclRing* ring = &comm->channels[channelId].ring; // ...
(ncclGetUniqueId(&ncclId)); std::threadthr0([]() {cudaSetDevice(0); ncclComm_t comm; ncclConfig_t config = NCCL_CONFIG_INITIALIZER; config.blocking=1;NCCLCHECK(ncclCommInitRankConfig(&comm, device_count, ncclId,0, &config)); std::vector<cudaStream_t>streams(3);for(cudaStream_t& ...
多个发送时,只写0或1作为size来表示是否有数据发送或接收 lastWr->wr_id = wr_id lastWr->opcode = IBV_WR_RDMA_WRITE_WITH_IMM lastWr->send_flags = IBV_SEND_SIGNALED NCCLCHECK(wrap_ibv_post_send(comm->qps[comm->qpIndex], comm->wrs, &bad_wr)) qp->context->ops.post_send(qp, wr, ...
ncclResult_t bootstrapCreateRoot(ncclUniqueId* id, bool idFromEnv) { ncclNetHandle_t* netHandle = (ncclNetHandle_t*) id; void* listenComm; NCCLCHECK(bootstrapNetListen(idFromEnv ? dontCareIf : 0, netHandle, &listenComm)); pthread_t thread; pthread_create(&thread, NULL, boot...
ncclResult_tncclCommInitRank(ncclComm_t*newcomm,intnranks,ncclUniqueIdcommId,intmyrank){// 1、加载CUDA驱动///(void)ncclCudaLibraryInit();// 声明一个变量来存储当前CUDA设备的IDintcudaDev;// 初始化NCCL配置结构体,使用默认的配置ncclConfig_tconfig=NCCL_CONFIG_INITIALIZER;// 2、获取当前CUDA设备I...
ncclResult_t bootstrapInit(ncclUniqueId * id, int rank, int nranks, void** commState) { ncclNetHandle_t* netHandle = (ncclNetHandle_t*) id; bool idFromEnv = getenv("NCCL_COMM_ID") != NULL; struct extState* state; NCCLCHECK(ncclCalloc(&state, 1)); state->rank = rank...