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/* -*- Mode: C; c-basic-offset:4 ; indent-tabs-mode:nil -*- */
/*
* Copyright (c) 2004-2005 The Trustees of Indiana University and Indiana
* University Research and Technology
* Corporation. All rights reserved.
* Copyright (c) 2004-2017 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) 2008 Sun Microsystems, Inc. All rights reserved.
* Copyright (c) 2009 University of Houston. All rights reserved.
* Copyright (c) 2013 Los Alamos National Security, LLC. All rights
* reserved.
* Copyright (c) 2015-2016 Research Organization for Information Science
* and Technology (RIST). All rights reserved.
* $COPYRIGHT$
*
* Additional copyrights may follow
*
* $HEADER$
*/
#include "ompi_config.h"
#include "mpi.h"
#include "opal/util/bit_ops.h"
#include "ompi/constants.h"
#include "ompi/datatype/ompi_datatype.h"
#include "ompi/communicator/communicator.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"
#include "ompi/mca/coll/base/coll_base_functions.h"
#include "coll_base_topo.h"
#include "coll_base_util.h"
/*******************************************************************************
* ompi_coll_base_reduce_scatter_intra_nonoverlapping
*
* This function just calls a reduce to rank 0, followed by an
* appropriate scatterv call.
*/
int ompi_coll_base_reduce_scatter_intra_nonoverlapping(const void *sbuf, void *rbuf,
const int *rcounts,
struct ompi_datatype_t *dtype,
struct ompi_op_t *op,
struct ompi_communicator_t *comm,
mca_coll_base_module_t *module)
{
int err, i, rank, size, total_count, *displs = NULL;
const int root = 0;
char *tmprbuf = NULL, *tmprbuf_free = NULL;
rank = ompi_comm_rank(comm);
size = ompi_comm_size(comm);
OPAL_OUTPUT((ompi_coll_base_framework.framework_output,"coll:base:reduce_scatter_intra_nonoverlapping, rank %d", rank));
for (i = 0, total_count = 0; i < size; i++) { total_count += rcounts[i]; }
/* Reduce to rank 0 (root) and scatterv */
tmprbuf = (char*) rbuf;
if (MPI_IN_PLACE == sbuf) {
/* rbuf on root (0) is big enough to hold whole data */
if (root == rank) {
err = comm->c_coll->coll_reduce (MPI_IN_PLACE, tmprbuf, total_count,
dtype, op, root, comm, comm->c_coll->coll_reduce_module);
} else {
err = comm->c_coll->coll_reduce(tmprbuf, NULL, total_count,
dtype, op, root, comm, comm->c_coll->coll_reduce_module);
}
} else {
if (root == rank) {
/* We must allocate temporary receive buffer on root to ensure that
rbuf is big enough */
ptrdiff_t dsize, gap = 0;
dsize = opal_datatype_span(&dtype->super, total_count, &gap);
tmprbuf_free = (char*) malloc(dsize);
tmprbuf = tmprbuf_free - gap;
}
err = comm->c_coll->coll_reduce (sbuf, tmprbuf, total_count,
dtype, op, root, comm, comm->c_coll->coll_reduce_module);
}
if (MPI_SUCCESS != err) {
if (NULL != tmprbuf_free) free(tmprbuf_free);
return err;
}
displs = (int*) malloc(size * sizeof(int));
displs[0] = 0;
for (i = 1; i < size; i++) {
displs[i] = displs[i-1] + rcounts[i-1];
}
if (MPI_IN_PLACE == sbuf && root == rank) {
err = comm->c_coll->coll_scatterv (tmprbuf, rcounts, displs, dtype,
MPI_IN_PLACE, 0, MPI_DATATYPE_NULL,
root, comm, comm->c_coll->coll_scatterv_module);
} else {
err = comm->c_coll->coll_scatterv (tmprbuf, rcounts, displs, dtype,
rbuf, rcounts[rank], dtype,
root, comm, comm->c_coll->coll_scatterv_module);
}
free(displs);
if (NULL != tmprbuf_free) free(tmprbuf_free);
return err;
}
/*
* Recursive-halving function is (*mostly*) copied from the BASIC coll module.
* I have removed the part which handles "large" message sizes
* (non-overlapping version of reduce_Scatter).
*/
/* copied function (with appropriate renaming) starts here */
/*
* reduce_scatter_intra_basic_recursivehalving
*
* Function: - reduce scatter implementation using recursive-halving
* algorithm
* Accepts: - same as MPI_Reduce_scatter()
* Returns: - MPI_SUCCESS or error code
* Limitation: - Works only for commutative operations.
*/
int
ompi_coll_base_reduce_scatter_intra_basic_recursivehalving( const void *sbuf,
void *rbuf,
const int *rcounts,
struct ompi_datatype_t *dtype,
struct ompi_op_t *op,
struct ompi_communicator_t *comm,
mca_coll_base_module_t *module)
{
int i, rank, size, count, err = OMPI_SUCCESS;
int tmp_size, remain = 0, tmp_rank, *disps = NULL;
ptrdiff_t extent, buf_size, gap = 0;
char *recv_buf = NULL, *recv_buf_free = NULL;
char *result_buf = NULL, *result_buf_free = NULL;
/* Initialize */
rank = ompi_comm_rank(comm);
size = ompi_comm_size(comm);
OPAL_OUTPUT((ompi_coll_base_framework.framework_output,"coll:base:reduce_scatter_intra_basic_recursivehalving, rank %d", rank));
/* Find displacements and the like */
disps = (int*) malloc(sizeof(int) * size);
if (NULL == disps) return OMPI_ERR_OUT_OF_RESOURCE;
disps[0] = 0;
for (i = 0; i < (size - 1); ++i) {
disps[i + 1] = disps[i] + rcounts[i];
}
count = disps[size - 1] + rcounts[size - 1];
/* short cut the trivial case */
if (0 == count) {
free(disps);
return OMPI_SUCCESS;
}
/* get datatype information */
ompi_datatype_type_extent(dtype, &extent);
buf_size = opal_datatype_span(&dtype->super, count, &gap);
/* Handle MPI_IN_PLACE */
if (MPI_IN_PLACE == sbuf) {
sbuf = rbuf;
}
/* Allocate temporary receive buffer. */
recv_buf_free = (char*) malloc(buf_size);
recv_buf = recv_buf_free - gap;
if (NULL == recv_buf_free) {
err = OMPI_ERR_OUT_OF_RESOURCE;
goto cleanup;
}
/* allocate temporary buffer for results */
result_buf_free = (char*) malloc(buf_size);
result_buf = result_buf_free - gap;
/* copy local buffer into the temporary results */
err = ompi_datatype_sndrcv(sbuf, count, dtype, result_buf, count, dtype);
if (OMPI_SUCCESS != err) goto cleanup;
/* figure out power of two mapping: grow until larger than
comm size, then go back one, to get the largest power of
two less than comm size */
tmp_size = opal_next_poweroftwo (size);
tmp_size >>= 1;
remain = size - tmp_size;
/* If comm size is not a power of two, have the first "remain"
procs with an even rank send to rank + 1, leaving a power of
two procs to do the rest of the algorithm */
if (rank < 2 * remain) {
if ((rank & 1) == 0) {
err = MCA_PML_CALL(send(result_buf, count, dtype, rank + 1,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
MCA_PML_BASE_SEND_STANDARD,
comm));
if (OMPI_SUCCESS != err) goto cleanup;
/* we don't participate from here on out */
tmp_rank = -1;
} else {
err = MCA_PML_CALL(recv(recv_buf, count, dtype, rank - 1,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
comm, MPI_STATUS_IGNORE));
/* integrate their results into our temp results */
ompi_op_reduce(op, recv_buf, result_buf, count, dtype);
/* adjust rank to be the bottom "remain" ranks */
tmp_rank = rank / 2;
}
} else {
/* just need to adjust rank to show that the bottom "even
remain" ranks dropped out */
tmp_rank = rank - remain;
}
/* For ranks not kicked out by the above code, perform the
recursive halving */
if (tmp_rank >= 0) {
int *tmp_disps = NULL, *tmp_rcounts = NULL;
int mask, send_index, recv_index, last_index;
/* recalculate disps and rcounts to account for the
special "remainder" processes that are no longer doing
anything */
tmp_rcounts = (int*) malloc(tmp_size * sizeof(int));
if (NULL == tmp_rcounts) {
err = OMPI_ERR_OUT_OF_RESOURCE;
goto cleanup;
}
tmp_disps = (int*) malloc(tmp_size * sizeof(int));
if (NULL == tmp_disps) {
free(tmp_rcounts);
err = OMPI_ERR_OUT_OF_RESOURCE;
goto cleanup;
}
for (i = 0 ; i < tmp_size ; ++i) {
if (i < remain) {
/* need to include old neighbor as well */
tmp_rcounts[i] = rcounts[i * 2 + 1] + rcounts[i * 2];
} else {
tmp_rcounts[i] = rcounts[i + remain];
}
}
tmp_disps[0] = 0;
for (i = 0; i < tmp_size - 1; ++i) {
tmp_disps[i + 1] = tmp_disps[i] + tmp_rcounts[i];
}
/* do the recursive halving communication. Don't use the
dimension information on the communicator because I
think the information is invalidated by our "shrinking"
of the communicator */
mask = tmp_size >> 1;
send_index = recv_index = 0;
last_index = tmp_size;
while (mask > 0) {
int tmp_peer, peer, send_count, recv_count;
struct ompi_request_t *request;
tmp_peer = tmp_rank ^ mask;
peer = (tmp_peer < remain) ? tmp_peer * 2 + 1 : tmp_peer + remain;
/* figure out if we're sending, receiving, or both */
send_count = recv_count = 0;
if (tmp_rank < tmp_peer) {
send_index = recv_index + mask;
for (i = send_index ; i < last_index ; ++i) {
send_count += tmp_rcounts[i];
}
for (i = recv_index ; i < send_index ; ++i) {
recv_count += tmp_rcounts[i];
}
} else {
recv_index = send_index + mask;
for (i = send_index ; i < recv_index ; ++i) {
send_count += tmp_rcounts[i];
}
for (i = recv_index ; i < last_index ; ++i) {
recv_count += tmp_rcounts[i];
}
}
/* actual data transfer. Send from result_buf,
receive into recv_buf */
if (recv_count > 0) {
err = MCA_PML_CALL(irecv(recv_buf + (ptrdiff_t)tmp_disps[recv_index] * extent,
recv_count, dtype, peer,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
comm, &request));
if (OMPI_SUCCESS != err) {
free(tmp_rcounts);
free(tmp_disps);
goto cleanup;
}
}
if (send_count > 0) {
err = MCA_PML_CALL(send(result_buf + (ptrdiff_t)tmp_disps[send_index] * extent,
send_count, dtype, peer,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
MCA_PML_BASE_SEND_STANDARD,
comm));
if (OMPI_SUCCESS != err) {
free(tmp_rcounts);
free(tmp_disps);
goto cleanup;
}
}
/* if we received something on this step, push it into
the results buffer */
if (recv_count > 0) {
err = ompi_request_wait(&request, MPI_STATUS_IGNORE);
if (OMPI_SUCCESS != err) {
free(tmp_rcounts);
free(tmp_disps);
goto cleanup;
}
ompi_op_reduce(op,
recv_buf + (ptrdiff_t)tmp_disps[recv_index] * extent,
result_buf + (ptrdiff_t)tmp_disps[recv_index] * extent,
recv_count, dtype);
}
/* update for next iteration */
send_index = recv_index;
last_index = recv_index + mask;
mask >>= 1;
}
/* copy local results from results buffer into real receive buffer */
if (0 != rcounts[rank]) {
err = ompi_datatype_sndrcv(result_buf + disps[rank] * extent,
rcounts[rank], dtype,
rbuf, rcounts[rank], dtype);
if (OMPI_SUCCESS != err) {
free(tmp_rcounts);
free(tmp_disps);
goto cleanup;
}
}
free(tmp_rcounts);
free(tmp_disps);
}
/* Now fix up the non-power of two case, by having the odd
procs send the even procs the proper results */
if (rank < (2 * remain)) {
if ((rank & 1) == 0) {
if (rcounts[rank]) {
err = MCA_PML_CALL(recv(rbuf, rcounts[rank], dtype, rank + 1,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
comm, MPI_STATUS_IGNORE));
if (OMPI_SUCCESS != err) goto cleanup;
}
} else {
if (rcounts[rank - 1]) {
err = MCA_PML_CALL(send(result_buf + disps[rank - 1] * extent,
rcounts[rank - 1], dtype, rank - 1,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
MCA_PML_BASE_SEND_STANDARD,
comm));
if (OMPI_SUCCESS != err) goto cleanup;
}
}
}
cleanup:
if (NULL != disps) free(disps);
if (NULL != recv_buf_free) free(recv_buf_free);
if (NULL != result_buf_free) free(result_buf_free);
return err;
}
/* copied function (with appropriate renaming) ends here */
/*
* ompi_coll_base_reduce_scatter_intra_ring
*
* Function: Ring algorithm for reduce_scatter operation
* Accepts: Same as MPI_Reduce_scatter()
* Returns: MPI_SUCCESS or error code
*
* Description: Implements ring algorithm for reduce_scatter:
* the block sizes defined in rcounts are exchanged and
8 updated until they reach proper destination.
* Algorithm requires 2 * max(rcounts) extra buffering
*
* Limitations: The algorithm DOES NOT preserve order of operations so it
* can be used only for commutative operations.
* Example on 5 nodes:
* Initial state
* # 0 1 2 3 4
* [00] [10] -> [20] [30] [40]
* [01] [11] [21] -> [31] [41]
* [02] [12] [22] [32] -> [42]
* -> [03] [13] [23] [33] [43] --> ..
* [04] -> [14] [24] [34] [44]
*
* COMPUTATION PHASE
* Step 0: rank r sends block (r-1) to rank (r+1) and
* receives block (r+1) from rank (r-1) [with wraparound].
* # 0 1 2 3 4
* [00] [10] [10+20] -> [30] [40]
* [01] [11] [21] [21+31] -> [41]
* -> [02] [12] [22] [32] [32+42] -->..
* [43+03] -> [13] [23] [33] [43]
* [04] [04+14] -> [24] [34] [44]
*
* Step 1:
* # 0 1 2 3 4
* [00] [10] [10+20] [10+20+30] -> [40]
* -> [01] [11] [21] [21+31] [21+31+41] ->
* [32+42+02] -> [12] [22] [32] [32+42]
* [03] [43+03+13] -> [23] [33] [43]
* [04] [04+14] [04+14+24] -> [34] [44]
*
* Step 2:
* # 0 1 2 3 4
* -> [00] [10] [10+20] [10+20+30] [10+20+30+40] ->
* [21+31+41+01]-> [11] [21] [21+31] [21+31+41]
* [32+42+02] [32+42+02+12]-> [22] [32] [32+42]
* [03] [43+03+13] [43+03+13+23]-> [33] [43]
* [04] [04+14] [04+14+24] [04+14+24+34] -> [44]
*
* Step 3:
* # 0 1 2 3 4
* [10+20+30+40+00] [10] [10+20] [10+20+30] [10+20+30+40]
* [21+31+41+01] [21+31+41+01+11] [21] [21+31] [21+31+41]
* [32+42+02] [32+42+02+12] [32+42+02+12+22] [32] [32+42]
* [03] [43+03+13] [43+03+13+23] [43+03+13+23+33] [43]
* [04] [04+14] [04+14+24] [04+14+24+34] [04+14+24+34+44]
* DONE :)
*
*/
int
ompi_coll_base_reduce_scatter_intra_ring( const void *sbuf, void *rbuf, const int *rcounts,
struct ompi_datatype_t *dtype,
struct ompi_op_t *op,
struct ompi_communicator_t *comm,
mca_coll_base_module_t *module)
{
int ret, line, rank, size, i, k, recv_from, send_to, total_count, max_block_count;
int inbi, *displs = NULL;
char *tmpsend = NULL, *tmprecv = NULL, *accumbuf = NULL, *accumbuf_free = NULL;
char *inbuf_free[2] = {NULL, NULL}, *inbuf[2] = {NULL, NULL};
ptrdiff_t extent, max_real_segsize, dsize, gap = 0;
ompi_request_t *reqs[2] = {MPI_REQUEST_NULL, MPI_REQUEST_NULL};
size = ompi_comm_size(comm);
rank = ompi_comm_rank(comm);
OPAL_OUTPUT((ompi_coll_base_framework.framework_output,
"coll:base:reduce_scatter_intra_ring rank %d, size %d",
rank, size));
/* Determine the maximum number of elements per node,
corresponding block size, and displacements array.
*/
displs = (int*) malloc(size * sizeof(int));
if (NULL == displs) { ret = -1; line = __LINE__; goto error_hndl; }
displs[0] = 0;
total_count = rcounts[0];
max_block_count = rcounts[0];
for (i = 1; i < size; i++) {
displs[i] = total_count;
total_count += rcounts[i];
if (max_block_count < rcounts[i]) max_block_count = rcounts[i];
}
/* Special case for size == 1 */
if (1 == size) {
if (MPI_IN_PLACE != sbuf) {
ret = ompi_datatype_copy_content_same_ddt(dtype, total_count,
(char*)rbuf, (char*)sbuf);
if (ret < 0) { line = __LINE__; goto error_hndl; }
}
free(displs);
return MPI_SUCCESS;
}
/* Allocate and initialize temporary buffers, we need:
- a temporary buffer to perform reduction (size total_count) since
rbuf can be of rcounts[rank] size.
- up to two temporary buffers used for communication/computation overlap.
*/
ret = ompi_datatype_type_extent(dtype, &extent);
if (MPI_SUCCESS != ret) { line = __LINE__; goto error_hndl; }
max_real_segsize = opal_datatype_span(&dtype->super, max_block_count, &gap);
dsize = opal_datatype_span(&dtype->super, total_count, &gap);
accumbuf_free = (char*)malloc(dsize);
if (NULL == accumbuf_free) { ret = -1; line = __LINE__; goto error_hndl; }
accumbuf = accumbuf_free - gap;
inbuf_free[0] = (char*)malloc(max_real_segsize);
if (NULL == inbuf_free[0]) { ret = -1; line = __LINE__; goto error_hndl; }
inbuf[0] = inbuf_free[0] - gap;
if (size > 2) {
inbuf_free[1] = (char*)malloc(max_real_segsize);
if (NULL == inbuf_free[1]) { ret = -1; line = __LINE__; goto error_hndl; }
inbuf[1] = inbuf_free[1] - gap;
}
/* Handle MPI_IN_PLACE for size > 1 */
if (MPI_IN_PLACE == sbuf) {
sbuf = rbuf;
}
ret = ompi_datatype_copy_content_same_ddt(dtype, total_count,
accumbuf, (char*)sbuf);
if (ret < 0) { line = __LINE__; goto error_hndl; }
/* Computation loop */
/*
For each of the remote nodes:
- post irecv for block (r-2) from (r-1) with wrap around
- send block (r-1) to (r+1)
- in loop for every step k = 2 .. n
- post irecv for block (r - 1 + n - k) % n
- wait on block (r + n - k) % n to arrive
- compute on block (r + n - k ) % n
- send block (r + n - k) % n
- wait on block (r)
- compute on block (r)
- copy block (r) to rbuf
Note that we must be careful when computing the beginning of buffers and
for send operations and computation we must compute the exact block size.
*/
send_to = (rank + 1) % size;
recv_from = (rank + size - 1) % size;
inbi = 0;
/* Initialize first receive from the neighbor on the left */
ret = MCA_PML_CALL(irecv(inbuf[inbi], max_block_count, dtype, recv_from,
MCA_COLL_BASE_TAG_REDUCE_SCATTER, comm,
&reqs[inbi]));
if (MPI_SUCCESS != ret) { line = __LINE__; goto error_hndl; }
tmpsend = accumbuf + (ptrdiff_t)displs[recv_from] * extent;
ret = MCA_PML_CALL(send(tmpsend, rcounts[recv_from], dtype, send_to,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
MCA_PML_BASE_SEND_STANDARD, comm));
if (MPI_SUCCESS != ret) { line = __LINE__; goto error_hndl; }
for (k = 2; k < size; k++) {
const int prevblock = (rank + size - k) % size;
inbi = inbi ^ 0x1;
/* Post irecv for the current block */
ret = MCA_PML_CALL(irecv(inbuf[inbi], max_block_count, dtype, recv_from,
MCA_COLL_BASE_TAG_REDUCE_SCATTER, comm,
&reqs[inbi]));
if (MPI_SUCCESS != ret) { line = __LINE__; goto error_hndl; }
/* Wait on previous block to arrive */
ret = ompi_request_wait(&reqs[inbi ^ 0x1], MPI_STATUS_IGNORE);
if (MPI_SUCCESS != ret) { line = __LINE__; goto error_hndl; }
/* Apply operation on previous block: result goes to rbuf
rbuf[prevblock] = inbuf[inbi ^ 0x1] (op) rbuf[prevblock]
*/
tmprecv = accumbuf + (ptrdiff_t)displs[prevblock] * extent;
ompi_op_reduce(op, inbuf[inbi ^ 0x1], tmprecv, rcounts[prevblock], dtype);
/* send previous block to send_to */
ret = MCA_PML_CALL(send(tmprecv, rcounts[prevblock], dtype, send_to,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
MCA_PML_BASE_SEND_STANDARD, comm));
if (MPI_SUCCESS != ret) { line = __LINE__; goto error_hndl; }
}
/* Wait on the last block to arrive */
ret = ompi_request_wait(&reqs[inbi], MPI_STATUS_IGNORE);
if (MPI_SUCCESS != ret) { line = __LINE__; goto error_hndl; }
/* Apply operation on the last block (my block)
rbuf[rank] = inbuf[inbi] (op) rbuf[rank] */
tmprecv = accumbuf + (ptrdiff_t)displs[rank] * extent;
ompi_op_reduce(op, inbuf[inbi], tmprecv, rcounts[rank], dtype);
/* Copy result from tmprecv to rbuf */
ret = ompi_datatype_copy_content_same_ddt(dtype, rcounts[rank], (char *)rbuf, tmprecv);
if (ret < 0) { line = __LINE__; goto error_hndl; }
if (NULL != displs) free(displs);
if (NULL != accumbuf_free) free(accumbuf_free);
if (NULL != inbuf_free[0]) free(inbuf_free[0]);
if (NULL != inbuf_free[1]) free(inbuf_free[1]);
return MPI_SUCCESS;
error_hndl:
OPAL_OUTPUT((ompi_coll_base_framework.framework_output, "%s:%4d\tRank %d Error occurred %d\n",
__FILE__, line, rank, ret));
(void)line; // silence compiler warning
if (NULL != displs) free(displs);
if (NULL != accumbuf_free) free(accumbuf_free);
if (NULL != inbuf_free[0]) free(inbuf_free[0]);
if (NULL != inbuf_free[1]) free(inbuf_free[1]);
return ret;
}
/*
* ompi_sum_counts: Returns sum of counts [lo, hi]
* lo, hi in {0, 1, ..., nprocs_pof2 - 1}
*/
static int ompi_sum_counts(const int *counts, int *displs, int nprocs_rem, int lo, int hi)
{
/* Adjust lo and hi for taking into account blocks of excluded processes */
lo = (lo < nprocs_rem) ? lo * 2 : lo + nprocs_rem;
hi = (hi < nprocs_rem) ? hi * 2 + 1 : hi + nprocs_rem;
return displs[hi] + counts[hi] - displs[lo];
}
/*
* ompi_coll_base_reduce_scatter_intra_butterfly
*
* Function: Butterfly algorithm for reduce_scatter
* Accepts: Same as MPI_Reduce_scatter
* Returns: MPI_SUCCESS or error code
*
* Description: Implements butterfly algorithm for MPI_Reduce_scatter [*].
* The algorithm can be used both by commutative and non-commutative
* operations, for power-of-two and non-power-of-two number of processes.
*
* [*] J.L. Traff. An improved Algorithm for (non-commutative) Reduce-scatter
* with an Application // Proc. of EuroPVM/MPI, 2005. -- pp. 129-137.
*
* Time complexity: O(m\lambda + log(p)\alpha + m\beta + m\gamma),
* where m = sum of rcounts[], p = comm_size
* Memory requirements (per process): 2 * m * typesize + comm_size
*
* Example: comm_size=6, nprocs_pof2=4, nprocs_rem=2, rcounts[]=1, sbuf=[0,1,...,5]
* Step 1. Reduce the number of processes to 4
* rank 0: [0|1|2|3|4|5]: send to 1: vrank -1
* rank 1: [0|1|2|3|4|5]: recv from 0, op: vrank 0: [0|2|4|6|8|10]
* rank 2: [0|1|2|3|4|5]: send to 3: vrank -1
* rank 3: [0|1|2|3|4|5]: recv from 2, op: vrank 1: [0|2|4|6|8|10]
* rank 4: [0|1|2|3|4|5]: vrank 2: [0|1|2|3|4|5]
* rank 5: [0|1|2|3|4|5]: vrank 3: [0|1|2|3|4|5]
*
* Step 2. Butterfly. Buffer of 6 elements is divided into 4 blocks.
* Round 1 (mask=1, nblocks=2)
* 0: vrank -1
* 1: vrank 0 [0 2|4 6|8|10]: exch with 1: send [2,3], recv [0,1]: [0 4|8 12|*|*]
* 2: vrank -1
* 3: vrank 1 [0 2|4 6|8|10]: exch with 0: send [0,1], recv [2,3]: [**|**|16|20]
* 4: vrank 2 [0 1|2 3|4|5] : exch with 3: send [2,3], recv [0,1]: [0 2|4 6|*|*]
* 5: vrank 3 [0 1|2 3|4|5] : exch with 2: send [0,1], recv [2,3]: [**|**|8|10]
*
* Round 2 (mask=2, nblocks=1)
* 0: vrank -1
* 1: vrank 0 [0 4|8 12|*|*]: exch with 2: send [1], recv [0]: [0 6|**|*|*]
* 2: vrank -1
* 3: vrank 1 [**|**|16|20] : exch with 3: send [3], recv [2]: [**|**|24|*]
* 4: vrank 2 [0 2|4 6|*|*] : exch with 0: send [0], recv [1]: [**|12 18|*|*]
* 5: vrank 3 [**|**|8|10] : exch with 1: send [2], recv [3]: [**|**|*|30]
*
* Step 3. Exchange with remote process according to a mirror permutation:
* mperm(0)=0, mperm(1)=2, mperm(2)=1, mperm(3)=3
* 0: vrank -1: recv "0" from process 0
* 1: vrank 0 [0 6|**|*|*]: send "0" to 0, copy "6" to rbuf (mperm(0)=0)
* 2: vrank -1: recv result "12" from process 4
* 3: vrank 1 [**|**|24|*]
* 4: vrank 2 [**|12 18|*|*]: send "12" to 2, send "18" to 3, recv "24" from 3
* 5: vrank 3 [**|**|*|30]: copy "30" to rbuf (mperm(3)=3)
*/
int
ompi_coll_base_reduce_scatter_intra_butterfly(
const void *sbuf, void *rbuf, const int *rcounts, struct ompi_datatype_t *dtype,
struct ompi_op_t *op, struct ompi_communicator_t *comm,
mca_coll_base_module_t *module)
{
char *tmpbuf[2] = {NULL, NULL}, *psend, *precv;
int *displs = NULL, index;
ptrdiff_t span, gap, totalcount, extent;
int err = MPI_SUCCESS;
int comm_size = ompi_comm_size(comm);
int rank = ompi_comm_rank(comm);
OPAL_OUTPUT((ompi_coll_base_framework.framework_output,
"coll:base:reduce_scatter_intra_butterfly: rank %d/%d",
rank, comm_size));
if (comm_size < 2)
return MPI_SUCCESS;
displs = malloc(sizeof(*displs) * comm_size);
if (NULL == displs) {
err = OMPI_ERR_OUT_OF_RESOURCE;
goto cleanup_and_return;
}
displs[0] = 0;
for (int i = 1; i < comm_size; i++) {
displs[i] = displs[i - 1] + rcounts[i - 1];
}
totalcount = displs[comm_size - 1] + rcounts[comm_size - 1];
ompi_datatype_type_extent(dtype, &extent);
span = opal_datatype_span(&dtype->super, totalcount, &gap);
tmpbuf[0] = malloc(span);
tmpbuf[1] = malloc(span);
if (NULL == tmpbuf[0] || NULL == tmpbuf[1]) {
err = OMPI_ERR_OUT_OF_RESOURCE;
goto cleanup_and_return;
}
psend = tmpbuf[0] - gap;
precv = tmpbuf[1] - gap;
if (sbuf != MPI_IN_PLACE) {
err = ompi_datatype_copy_content_same_ddt(dtype, totalcount, psend, (char *)sbuf);
if (MPI_SUCCESS != err) { goto cleanup_and_return; }
} else {
err = ompi_datatype_copy_content_same_ddt(dtype, totalcount, psend, rbuf);
if (MPI_SUCCESS != err) { goto cleanup_and_return; }
}
/*
* Step 1. Reduce the number of processes to the nearest lower power of two
* p' = 2^{\floor{\log_2 p}} by removing r = p - p' processes.
* In the first 2r processes (ranks 0 to 2r - 1), all the even ranks send
* the input vector to their neighbor (rank + 1) and all the odd ranks recv
* the input vector and perform local reduction.
* The odd ranks (0 to 2r - 1) contain the reduction with the input
* vector on their neighbors (the even ranks). The first r odd
* processes and the p - 2r last processes are renumbered from
* 0 to 2^{\floor{\log_2 p}} - 1. Even ranks do not participate in the
* rest of the algorithm.
*/
/* Find nearest power-of-two less than or equal to comm_size */
int nprocs_pof2 = opal_next_poweroftwo(comm_size);
nprocs_pof2 >>= 1;
int nprocs_rem = comm_size - nprocs_pof2;
int log2_size = opal_cube_dim(nprocs_pof2);
int vrank = -1;
if (rank < 2 * nprocs_rem) {
if ((rank % 2) == 0) {
/* Even process */
err = MCA_PML_CALL(send(psend, totalcount, dtype, rank + 1,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
MCA_PML_BASE_SEND_STANDARD, comm));
if (OMPI_SUCCESS != err) { goto cleanup_and_return; }
/* This process does not participate in the rest of the algorithm */
vrank = -1;
} else {
/* Odd process */
err = MCA_PML_CALL(recv(precv, totalcount, dtype, rank - 1,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
comm, MPI_STATUS_IGNORE));
if (OMPI_SUCCESS != err) { goto cleanup_and_return; }
ompi_op_reduce(op, precv, psend, totalcount, dtype);
/* Adjust rank to be the bottom "remain" ranks */
vrank = rank / 2;
}
} else {
/* Adjust rank to show that the bottom "even remain" ranks dropped out */
vrank = rank - nprocs_rem;
}
if (vrank != -1) {
/*
* Now, psend vector of size totalcount is divided into nprocs_pof2 blocks:
* block 0: rcounts[0] and rcounts[1] -- for process 0 and 1
* block 1: rcounts[2] and rcounts[3] -- for process 2 and 3
* ...
* block r-1: rcounts[2*(r-1)] and rcounts[2*(r-1)+1]
* block r: rcounts[r+r]
* block r+1: rcounts[r+r+1]
* ...
* block nprocs_pof2 - 1: rcounts[r+nprocs_pof2-1]
*/
int nblocks = nprocs_pof2, send_index = 0, recv_index = 0;
for (int mask = 1; mask < nprocs_pof2; mask <<= 1) {
int vpeer = vrank ^ mask;
int peer = (vpeer < nprocs_rem) ? vpeer * 2 + 1 : vpeer + nprocs_rem;
nblocks /= 2;
if ((vrank & mask) == 0) {
/* Send the upper half of reduction buffer, recv the lower half */
send_index += nblocks;
} else {
/* Send the upper half of reduction buffer, recv the lower half */
recv_index += nblocks;
}
/* Send blocks: [send_index, send_index + nblocks - 1] */
int send_count = ompi_sum_counts(rcounts, displs, nprocs_rem,
send_index, send_index + nblocks - 1);
index = (send_index < nprocs_rem) ? 2 * send_index : nprocs_rem + send_index;
ptrdiff_t sdispl = displs[index];
/* Recv blocks: [recv_index, recv_index + nblocks - 1] */
int recv_count = ompi_sum_counts(rcounts, displs, nprocs_rem,
recv_index, recv_index + nblocks - 1);
index = (recv_index < nprocs_rem) ? 2 * recv_index : nprocs_rem + recv_index;
ptrdiff_t rdispl = displs[index];
err = ompi_coll_base_sendrecv(psend + (ptrdiff_t)sdispl * extent, send_count,
dtype, peer, MCA_COLL_BASE_TAG_REDUCE_SCATTER,
precv + (ptrdiff_t)rdispl * extent, recv_count,
dtype, peer, MCA_COLL_BASE_TAG_REDUCE_SCATTER,
comm, MPI_STATUS_IGNORE, rank);
if (MPI_SUCCESS != err) { goto cleanup_and_return; }
if (vrank < vpeer) {
/* precv = psend <op> precv */
ompi_op_reduce(op, psend + (ptrdiff_t)rdispl * extent,
precv + (ptrdiff_t)rdispl * extent, recv_count, dtype);
char *p = psend;
psend = precv;
precv = p;
} else {
/* psend = precv <op> psend */
ompi_op_reduce(op, precv + (ptrdiff_t)rdispl * extent,
psend + (ptrdiff_t)rdispl * extent, recv_count, dtype);
}
send_index = recv_index;
}
/*
* psend points to the result block [send_index]
* Exchange results with remote process according to a mirror permutation.
*/
int vpeer = ompi_mirror_perm(vrank, log2_size);
int peer = (vpeer < nprocs_rem) ? vpeer * 2 + 1 : vpeer + nprocs_rem;
index = (send_index < nprocs_rem) ? 2 * send_index : nprocs_rem + send_index;
if (vpeer < nprocs_rem) {
/*
* Process has two blocks: for excluded process and own.
* Send the first block to excluded process.
*/
err = MCA_PML_CALL(send(psend + (ptrdiff_t)displs[index] * extent,
rcounts[index], dtype, peer - 1,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
MCA_PML_BASE_SEND_STANDARD, comm));
if (MPI_SUCCESS != err) { goto cleanup_and_return; }
}
/* If process has two blocks, then send the second block (own block) */
if (vpeer < nprocs_rem)
index++;
if (vpeer != vrank) {
err = ompi_coll_base_sendrecv(psend + (ptrdiff_t)displs[index] * extent,
rcounts[index], dtype, peer,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
rbuf, rcounts[rank], dtype, peer,
MCA_COLL_BASE_TAG_REDUCE_SCATTER,
comm, MPI_STATUS_IGNORE, rank);
if (MPI_SUCCESS != err) { goto cleanup_and_return; }
} else {
err = ompi_datatype_copy_content_same_ddt(dtype, rcounts[rank], rbuf,
psend + (ptrdiff_t)displs[rank] * extent);
if (MPI_SUCCESS != err) { goto cleanup_and_return; }
}
} else {
/* Excluded process: receive result */
int vpeer = ompi_mirror_perm((rank + 1) / 2, log2_size);
int peer = (vpeer < nprocs_rem) ? vpeer * 2 + 1 : vpeer + nprocs_rem;
err = MCA_PML_CALL(recv(rbuf, rcounts[rank], dtype, peer,
MCA_COLL_BASE_TAG_REDUCE_SCATTER, comm,
MPI_STATUS_IGNORE));
if (OMPI_SUCCESS != err) { goto cleanup_and_return; }
}
cleanup_and_return:
if (displs)
free(displs);
if (tmpbuf[0])
free(tmpbuf[0]);
if (tmpbuf[1])
free(tmpbuf[1]);
return err;
}
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