intMPI_Bcast(void*buffer,intcount, MPI_Datatype datatype,introot, MPI_Comm comm){interr; MEMCHECKER( memchecker_datatype(datatype); memchecker_comm(comm);if(OMPI_COMM_IS_INTRA(comm)) {if(ompi_comm_rank(comm) == root) {/* check whether root's send buffer is defined. */memchecker_...
irank/nshmem)THENgroup(n)=i n=n+1ENDIFENDDOCALLMPI_comm_group( comm_world, group_world, ierror )CALLMPI_group_incl( group_world, n, group, group_shmem, ierror )CALLMPI_comm_create( comm_world, group_shmem, comm_shmem, ierror ) DEALLOCATE(group)CALLMPI_comm_rank( comm_shmem, i...
(rank 339 in comm 0): Fatal error in PMPI_Init: Other MPI error, error stack: MPIR_Init_thread(703)...: MPID_Init(923)...: MPIDI_OFI_mpi_init_hook(1211): create_endpoint(1892)...: OFI endpoint open failed (ofi_init.c:1892:create_endpoint:Invalid argument) The testing environ...
char *argv[]) { int my_rank, num_ranks; int provided=0; MPI_Init_thread(&argc, &argv, MPI_THREAD_MULTIPLE, &provided); shmem_init(); MPI_Comm_rank(MPI_COMM_WORLD, &my_rank); MPI_Comm_size(
which is not correct. In PyTorch’s distributed module, you are supposed to pass a global rank to thebroadcastfunction, and it parses the global rank to local rank itself. (very stupid design, from my view) So, when we have multiple data parallel groups, rank0is not in...
MPI_Comm_rank(MPI_COMM_WORLD, &world_rank); // Get the name of the processor char processor_name[MPI_MAX_PROCESSOR_NAME]; int name_len; MPI_Get_processor_name(processor_name, &name_len); // Print off a hello world message printf("Hello world from processor %s, rank %d o...
(rank 339 in comm 0): Fatal error in PMPI_Init: Other MPI error, error stack: MPIR_Init_thread(703)...: MPID_Init(923)...: MPIDI_OFI_mpi_init_hook(1211): create_endpoint(1892)...: OFI endpoint open failed (ofi_init.c:1892:create_endpoint:Invalid argument) The testing env...