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/*
* 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 (c) 2022 IBM Corporation. All rights reserved.
* $COPYRIGHT$
*
* Additional copyrights may follow
*
* $HEADER$
*/
#include "ompi_config.h"
#include "coll_basic.h"
#include <stdio.h>
#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);
if (MPI_SUCCESS != err) {
goto cleanup_and_return;
}
}
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;
}
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