/* * Copyright (c) 2004-2005 The Trustees of Indiana University and Indiana * University Research and Technology * Corporation. All rights reserved. * Copyright (c) 2004-2015 The University of Tennessee and The University * of Tennessee Research Foundation. All rights * reserved. * Copyright (c) 2004-2005 High Performance Computing Center Stuttgart, * University of Stuttgart. All rights reserved. * Copyright (c) 2004-2005 The Regents of the University of California. * All rights reserved. * Copyright (c) 2015 Research Organization for Information Science * and Technology (RIST). All rights reserved. * $COPYRIGHT$ * * Additional copyrights may follow * * $HEADER$ */ #include "ompi_config.h" #include "coll_basic.h" #include #include "mpi.h" #include "ompi/constants.h" #include "ompi/mca/coll/coll.h" #include "ompi/mca/coll/base/coll_tags.h" #include "ompi/mca/pml/pml.h" #include "ompi/op/op.h" /* * reduce_log_intra * * Function: - reduction using O(log N) algorithm * Accepts: - same as MPI_Reduce() * Returns: - MPI_SUCCESS or error code * * * Performing reduction on each dimension of the hypercube. * An example for 8 procs (dimensions = 3): * * Stage 1, reduce on X dimension, 1 -> 0, 3 -> 2, 5 -> 4, 7 -> 6 * * 6----<---7 proc_0: 0+1 * /| /| proc_1: 1 * / | / | proc_2: 2+3 * / | / | proc_3: 3 * 4----<---5 | proc_4: 4+5 * | 2--< |---3 proc_5: 5 * | / | / proc_6: 6+7 * | / | / proc_7: 7 * |/ |/ * 0----<---1 * * Stage 2, reduce on Y dimension, 2 -> 0, 6 -> 4 * * 6--------7 proc_0: 0+1+2+3 * /| /| proc_1: 1 * v | / | proc_2: 2+3 * / | / | proc_3: 3 * 4--------5 | proc_4: 4+5+6+7 * | 2--- |---3 proc_5: 5 * | / | / proc_6: 6+7 * | v | / proc_7: 7 * |/ |/ * 0--------1 * * Stage 3, reduce on Z dimension, 4 -> 0 * * 6--------7 proc_0: 0+1+2+3+4+5+6+7 * /| /| proc_1: 1 * / | / | proc_2: 2+3 * / | / | proc_3: 3 * 4--------5 | proc_4: 4+5+6+7 * | 2--- |---3 proc_5: 5 * v / | / proc_6: 6+7 * | / | / proc_7: 7 * |/ |/ * 0--------1 * * */ int mca_coll_basic_reduce_log_intra(const void *sbuf, void *rbuf, int count, struct ompi_datatype_t *dtype, struct ompi_op_t *op, int root, struct ompi_communicator_t *comm, mca_coll_base_module_t *module) { int i, size, rank, vrank; int err, peer, dim, mask; ptrdiff_t lb, extent, dsize, gap; char *free_buffer = NULL; char *free_rbuf = NULL; char *pml_buffer = NULL; char *snd_buffer = NULL; char *rcv_buffer = (char*)rbuf; char *inplace_temp = NULL; /* JMS Codearound for now -- if the operations is not communative, * just call the linear algorithm. Need to talk to Edgar / George * about fixing this algorithm here to work with non-communative * operations. */ if (!ompi_op_is_commute(op)) { return ompi_coll_base_reduce_intra_basic_linear(sbuf, rbuf, count, dtype, op, root, comm, module); } /* Some variables */ size = ompi_comm_size(comm); rank = ompi_comm_rank(comm); vrank = ompi_op_is_commute(op) ? (rank - root + size) % size : rank; dim = comm->c_cube_dim; /* Allocate the incoming and resulting message buffers. See lengthy * rationale above. */ ompi_datatype_get_extent(dtype, &lb, &extent); dsize = opal_datatype_span(&dtype->super, count, &gap); free_buffer = (char*)malloc(dsize); if (NULL == free_buffer) { return OMPI_ERR_OUT_OF_RESOURCE; } pml_buffer = free_buffer - gap; /* read the comment about commutative operations (few lines down * the page) */ if (ompi_op_is_commute(op)) { rcv_buffer = pml_buffer; } /* Allocate sendbuf in case the MPI_IN_PLACE option has been used. See lengthy * rationale above. */ if (MPI_IN_PLACE == sbuf) { inplace_temp = (char*)malloc(dsize); if (NULL == inplace_temp) { err = OMPI_ERR_OUT_OF_RESOURCE; goto cleanup_and_return; } sbuf = inplace_temp - gap; err = ompi_datatype_copy_content_same_ddt(dtype, count, (char*)sbuf, (char*)rbuf); } snd_buffer = (char*)sbuf; if (rank != root && 0 == (vrank & 1)) { /* root is the only one required to provide a valid rbuf. * Assume rbuf is invalid for all other ranks, so fix it up * here to be valid on all non-leaf ranks */ free_rbuf = (char*)malloc(dsize); if (NULL == free_rbuf) { err = OMPI_ERR_OUT_OF_RESOURCE; goto cleanup_and_return; } rbuf = free_rbuf - gap; } /* Loop over cube dimensions. High processes send to low ones in the * dimension. */ for (i = 0, mask = 1; i < dim; ++i, mask <<= 1) { /* A high-proc sends to low-proc and stops. */ if (vrank & mask) { peer = vrank & ~mask; if (ompi_op_is_commute(op)) { peer = (peer + root) % size; } err = MCA_PML_CALL(send(snd_buffer, count, dtype, peer, MCA_COLL_BASE_TAG_REDUCE, MCA_PML_BASE_SEND_STANDARD, comm)); if (MPI_SUCCESS != err) { goto cleanup_and_return; } snd_buffer = (char*)rbuf; break; } /* A low-proc receives, reduces, and moves to a higher * dimension. */ else { peer = vrank | mask; if (peer >= size) { continue; } if (ompi_op_is_commute(op)) { peer = (peer + root) % size; } /* Most of the time (all except the first one for commutative * operations) we receive in the user provided buffer * (rbuf). But the exception is here to allow us to dont have * to copy from the sbuf to a temporary location. If the * operation is commutative we dont care in which order we * apply the operation, so for the first time we can receive * the data in the pml_buffer and then apply to operation * between this buffer and the user provided data. */ err = MCA_PML_CALL(recv(rcv_buffer, count, dtype, peer, MCA_COLL_BASE_TAG_REDUCE, comm, MPI_STATUS_IGNORE)); if (MPI_SUCCESS != err) { goto cleanup_and_return; } /* Perform the operation. The target is always the user * provided buffer We do the operation only if we receive it * not in the user buffer */ if (snd_buffer != sbuf) { /* the target buffer is the locally allocated one */ ompi_op_reduce(op, rcv_buffer, pml_buffer, count, dtype); } else { /* If we're commutative, we don't care about the order of * operations and we can just reduce the operations now. * If we are not commutative, we have to copy the send * buffer into a temp buffer (pml_buffer) and then reduce * what we just received against it. */ if (!ompi_op_is_commute(op)) { ompi_datatype_copy_content_same_ddt(dtype, count, pml_buffer, (char*)sbuf); ompi_op_reduce(op, rbuf, pml_buffer, count, dtype); } else { ompi_op_reduce(op, (void *)sbuf, pml_buffer, count, dtype); } /* now we have to send the buffer containing the computed data */ snd_buffer = pml_buffer; /* starting from now we always receive in the user * provided buffer */ rcv_buffer = (char*)rbuf; } } } /* Get the result to the root if needed. */ err = MPI_SUCCESS; if (0 == vrank) { if (root == rank) { ompi_datatype_copy_content_same_ddt(dtype, count, (char*)rbuf, snd_buffer); } else { err = MCA_PML_CALL(send(snd_buffer, count, dtype, root, MCA_COLL_BASE_TAG_REDUCE, MCA_PML_BASE_SEND_STANDARD, comm)); } } else if (rank == root) { err = MCA_PML_CALL(recv(rcv_buffer, count, dtype, 0, MCA_COLL_BASE_TAG_REDUCE, comm, MPI_STATUS_IGNORE)); if (rcv_buffer != rbuf) { ompi_op_reduce(op, rcv_buffer, rbuf, count, dtype); } } cleanup_and_return: if (NULL != inplace_temp) { free(inplace_temp); } if (NULL != free_buffer) { free(free_buffer); } if (NULL != free_rbuf) { free(free_rbuf); } /* All done */ return err; } /* * reduce_lin_inter * * Function: - reduction using O(N) algorithm * Accepts: - same as MPI_Reduce() * Returns: - MPI_SUCCESS or error code */ int mca_coll_basic_reduce_lin_inter(const void *sbuf, void *rbuf, int count, struct ompi_datatype_t *dtype, struct ompi_op_t *op, int root, struct ompi_communicator_t *comm, mca_coll_base_module_t *module) { int i, err, size; ptrdiff_t dsize, gap; char *free_buffer = NULL; char *pml_buffer = NULL; /* Initialize */ size = ompi_comm_remote_size(comm); if (MPI_PROC_NULL == root) { /* do nothing */ err = OMPI_SUCCESS; } else if (MPI_ROOT != root) { /* If not root, send data to the root. */ err = MCA_PML_CALL(send(sbuf, count, dtype, root, MCA_COLL_BASE_TAG_REDUCE, MCA_PML_BASE_SEND_STANDARD, comm)); } else { /* Root receives and reduces messages */ dsize = opal_datatype_span(&dtype->super, count, &gap); free_buffer = (char*)malloc(dsize); if (NULL == free_buffer) { return OMPI_ERR_OUT_OF_RESOURCE; } pml_buffer = free_buffer - gap; /* Initialize the receive buffer. */ err = MCA_PML_CALL(recv(rbuf, count, dtype, 0, MCA_COLL_BASE_TAG_REDUCE, comm, MPI_STATUS_IGNORE)); if (MPI_SUCCESS != err) { if (NULL != free_buffer) { free(free_buffer); } return err; } /* Loop receiving and calling reduction function (C or Fortran). */ for (i = 1; i < size; i++) { err = MCA_PML_CALL(recv(pml_buffer, count, dtype, i, MCA_COLL_BASE_TAG_REDUCE, comm, MPI_STATUS_IGNORE)); if (MPI_SUCCESS != err) { if (NULL != free_buffer) { free(free_buffer); } return err; } /* Perform the reduction */ ompi_op_reduce(op, pml_buffer, rbuf, count, dtype); } if (NULL != free_buffer) { free(free_buffer); } } /* All done */ return err; } /* * reduce_log_inter * * Function: - reduction using O(N) algorithm * Accepts: - same as MPI_Reduce() * Returns: - MPI_SUCCESS or error code */ int mca_coll_basic_reduce_log_inter(const void *sbuf, void *rbuf, int count, struct ompi_datatype_t *dtype, struct ompi_op_t *op, int root, struct ompi_communicator_t *comm, mca_coll_base_module_t *module) { return OMPI_ERR_NOT_IMPLEMENTED; }