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openmpi/ompi/mca/coll/tuned/coll_tuned_reduce_scatter.c
Jeff Squyres e7ecd56bd2 This commit represents a bunch of work on a Mercurial side branch. As
such, the commit message back to the master SVN repository is fairly
long.

= ORTE Job-Level Output Messages =

Add two new interfaces that should be used for all new code throughout
the ORTE and OMPI layers (we already make the search-and-replace on
the existing ORTE / OMPI layers):

 * orte_output(): (and corresponding friends ORTE_OUTPUT,
   orte_output_verbose, etc.)  This function sends the output directly
   to the HNP for processing as part of a job-specific output
   channel.  It supports all the same outputs as opal_output()
   (syslog, file, stdout, stderr), but for stdout/stderr, the output
   is sent to the HNP for processing and output.  More on this below.
 * orte_show_help(): This function is a drop-in-replacement for
   opal_show_help(), with two differences in functionality:
   1. the rendered text help message output is sent to the HNP for
      display (rather than outputting directly into the process' stderr
      stream)
   1. the HNP detects duplicate help messages and does not display them
      (so that you don't see the same error message N times, once from
      each of your N MPI processes); instead, it counts "new" instances
      of the help message and displays a message every ~5 seconds when
      there are new ones ("I got X new copies of the help message...")

opal_show_help and opal_output still exist, but they only output in
the current process.  The intent for the new orte_* functions is that
they can apply job-level intelligence to the output.  As such, we
recommend that all new ORTE and OMPI code use the new orte_*
functions, not thei opal_* functions.

=== New code ===

For ORTE and OMPI programmers, here's what you need to do differently
in new code:

 * Do not include opal/util/show_help.h or opal/util/output.h.
   Instead, include orte/util/output.h (this one header file has
   declarations for both the orte_output() series of functions and
   orte_show_help()).
 * Effectively s/opal_output/orte_output/gi throughout your code.
   Note that orte_output_open() takes a slightly different argument
   list (as a way to pass data to the filtering stream -- see below),
   so you if explicitly call opal_output_open(), you'll need to
   slightly adapt to the new signature of orte_output_open().
 * Literally s/opal_show_help/orte_show_help/.  The function signature
   is identical.

=== Notes ===

 * orte_output'ing to stream 0 will do similar to what
   opal_output'ing did, so leaving a hard-coded "0" as the first
   argument is safe.
 * For systems that do not use ORTE's RML or the HNP, the effect of
   orte_output_* and orte_show_help will be identical to their opal
   counterparts (the additional information passed to
   orte_output_open() will be lost!).  Indeed, the orte_* functions
   simply become trivial wrappers to their opal_* counterparts.  Note
   that we have not tested this; the code is simple but it is quite
   possible that we mucked something up.

= Filter Framework =

Messages sent view the new orte_* functions described above and
messages output via the IOF on the HNP will now optionally be passed
through a new "filter" framework before being output to
stdout/stderr.  The "filter" OPAL MCA framework is intended to allow
preprocessing to messages before they are sent to their final
destinations.  The first component that was written in the filter
framework was to create an XML stream, segregating all the messages
into different XML tags, etc.  This will allow 3rd party tools to read
the stdout/stderr from the HNP and be able to know exactly what each
text message is (e.g., a help message, another OMPI infrastructure
message, stdout from the user process, stderr from the user process,
etc.).

Filtering is not active by default.  Filter components must be
specifically requested, such as:

{{{
$ mpirun --mca filter xml ...
}}}

There can only be one filter component active.

= New MCA Parameters =

The new functionality described above introduces two new MCA
parameters:

 * '''orte_base_help_aggregate''': Defaults to 1 (true), meaning that
   help messages will be aggregated, as described above.  If set to 0,
   all help messages will be displayed, even if they are duplicates
   (i.e., the original behavior).
 * '''orte_base_show_output_recursions''': An MCA parameter to help
   debug one of the known issues, described below.  It is likely that
   this MCA parameter will disappear before v1.3 final.

= Known Issues =

 * The XML filter component is not complete.  The current output from
   this component is preliminary and not real XML.  A bit more work
   needs to be done to configure.m4 search for an appropriate XML
   library/link it in/use it at run time.
 * There are possible recursion loops in the orte_output() and
   orte_show_help() functions -- e.g., if RML send calls orte_output()
   or orte_show_help().  We have some ideas how to fix these, but
   figured that it was ok to commit before feature freeze with known
   issues.  The code currently contains sub-optimal workarounds so
   that this will not be a problem, but it would be good to actually
   solve the problem rather than have hackish workarounds before v1.3 final.

This commit was SVN r18434.
2008-05-13 20:00:55 +00:00

745 строки
28 KiB
C

/*
* Copyright (c) 2004-2005 The Trustees of Indiana University and Indiana
* University Research and Technology
* Corporation. All rights reserved.
* Copyright (c) 2004-2006 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.
* $COPYRIGHT$
*
* Additional copyrights may follow
*
* $HEADER$
*/
#include "ompi_config.h"
#include "mpi.h"
#include "ompi/constants.h"
#include "ompi/datatype/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 "coll_tuned.h"
#include "coll_tuned_topo.h"
/*******************************************************************************
* ompi_coll_tuned_reduce_scatter_intra_nonoverlapping
*
* This function just calls a reduce to rank 0, followed by an
* appropriate scatterv call.
*/
int ompi_coll_tuned_reduce_scatter_intra_nonoverlapping(void *sbuf, void *rbuf,
int *rcounts,
struct ompi_datatype_t *dtype,
struct ompi_op_t *op,
struct ompi_communicator_t *comm,
struct mca_coll_base_module_1_1_0_t *module)
{
int err, i;
int rank, size;
int total_count;
int *displs = NULL;
char *tmprbuf = NULL;
char *tmprbuf_free = NULL;
const int root = 0;
rank = ompi_comm_rank(comm);
size = ompi_comm_size(comm);
ORTE_OUTPUT((ompi_coll_tuned_stream,"coll:tuned: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, module);
} else {
err = comm->c_coll.coll_reduce(tmprbuf, NULL, total_count,
dtype, op, root, comm, module);
}
} else {
if (root == rank) {
/* We must allocate temporary receive buffer on root to ensure that
rbuf is big enough */
ptrdiff_t lb, extent, tlb, textent;
ompi_ddt_get_extent(dtype, &lb, &extent);
ompi_ddt_get_true_extent(dtype, &tlb, &textent);
tmprbuf_free = (char*) malloc(textent + (total_count - 1)*extent);
tmprbuf = tmprbuf_free - lb;
}
err = comm->c_coll.coll_reduce (sbuf, tmprbuf, total_count,
dtype, op, root, comm, 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];
}
err = comm->c_coll.coll_scatterv (tmprbuf, rcounts, displs, dtype,
rbuf, rcounts[rank], dtype,
root, comm, 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_tuned_reduce_scatter_intra_basic_recursivehalving(void *sbuf,
void *rbuf,
int *rcounts,
struct ompi_datatype_t *dtype,
struct ompi_op_t *op,
struct ompi_communicator_t *comm,
struct mca_coll_base_module_1_1_0_t *module)
{
int i, rank, size, count, err = OMPI_SUCCESS;
int tmp_size = 1, remain = 0, tmp_rank;
int *disps = NULL;
ptrdiff_t true_lb, true_extent, lb, extent, buf_size;
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);
ORTE_OUTPUT((ompi_coll_tuned_stream,"coll:tuned: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_ddt_get_extent(dtype, &lb, &extent);
ompi_ddt_get_true_extent(dtype, &true_lb, &true_extent);
buf_size = true_extent + (count - 1) * extent;
/* 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 - lb;
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 - lb;
/* copy local buffer into the temporary results */
err = ompi_ddt_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 */
while (tmp_size <= size) tmp_size <<= 1;
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 (send_count > 0 && recv_count != 0) {
err = MCA_PML_CALL(irecv(recv_buf + 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 (recv_count > 0 && send_count != 0) {
err = MCA_PML_CALL(send(result_buf + 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 (send_count > 0 && recv_count != 0) {
err = ompi_request_wait(&request, MPI_STATUS_IGNORE);
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) {
ompi_op_reduce(op,
recv_buf + tmp_disps[recv_index] * extent,
result_buf + 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_ddt_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_tuned_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_tuned_reduce_scatter_intra_ring(void *sbuf, void *rbuf, int *rcounts,
struct ompi_datatype_t *dtype,
struct ompi_op_t *op,
struct ompi_communicator_t *comm,
struct mca_coll_base_module_1_1_0_t *module)
{
int ret, line;
int rank, size, i, k, recv_from, send_to;
int total_count, max_block_count;
int inbi;
int *displs = NULL;
size_t typelng;
char *tmpsend = NULL, *tmprecv = NULL;
char *inbuf_free[2] = {NULL, NULL};
char *inbuf[2] = {NULL, NULL};
char *accumbuf = NULL, *accumbuf_free = NULL;
ptrdiff_t true_lb, true_extent, lb, extent, max_real_segsize;
ompi_request_t *reqs[2] = {NULL, NULL};
size = ompi_comm_size(comm);
rank = ompi_comm_rank(comm);
ORTE_OUTPUT((ompi_coll_tuned_stream,
"coll:tuned: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_ddt_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_ddt_get_extent(dtype, &lb, &extent);
if (MPI_SUCCESS != ret) { line = __LINE__; goto error_hndl; }
ret = ompi_ddt_get_true_extent(dtype, &true_lb, &true_extent);
if (MPI_SUCCESS != ret) { line = __LINE__; goto error_hndl; }
ret = ompi_ddt_type_size( dtype, &typelng);
if (MPI_SUCCESS != ret) { line = __LINE__; goto error_hndl; }
max_real_segsize = true_extent + (max_block_count - 1) * extent;
accumbuf_free = (char*)malloc(true_extent + (total_count - 1) * extent);
if (NULL == accumbuf_free) { ret = -1; line = __LINE__; goto error_hndl; }
accumbuf = accumbuf_free - lb;
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] - lb;
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] - lb;
}
/* Handle MPI_IN_PLACE */
if (MPI_IN_PLACE != sbuf) {
ret = ompi_ddt_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 begining 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 + 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 + 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 + displs[rank] * extent;
ompi_op_reduce(op, inbuf[inbi], tmprecv, rcounts[rank], dtype);
/* Copy result from tmprecv to rbuf */
ret = ompi_ddt_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:
ORTE_OUTPUT((ompi_coll_tuned_stream, "%s:%4d\tRank %d Error occurred %d\n",
__FILE__, line, rank, ret));
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;
}
/**
* The following are used by dynamic and forced rules
*
* publish details of each algorithm and if its forced/fixed/locked in
* as you add methods/algorithms you must update this and the query/map routines
*
* this routine is called by the component only
* this makes sure that the mca parameters are set to their initial values and
* perms module does not call this they call the forced_getvalues routine
* instead
*/
int ompi_coll_tuned_reduce_scatter_intra_check_forced_init (coll_tuned_force_algorithm_mca_param_indices_t *mca_param_indices)
{
int rc, requested_alg, max_alg = 3;
ompi_coll_tuned_forced_max_algorithms[REDUCESCATTER] = max_alg;
rc = mca_base_param_reg_int (&mca_coll_tuned_component.super.collm_version,
"reduce_scatter_algorithm_count",
"Number of reduce_scatter algorithms available",
false, true, max_alg, NULL);
mca_param_indices->algorithm_param_index
= mca_base_param_reg_int(&mca_coll_tuned_component.super.collm_version,
"reduce_scatter_algorithm",
"Which reduce reduce_scatter algorithm is used. Can be locked down to choice of: 0 ignore, 1 non-overlapping (Reduce + Scatterv), 2 recursive halving, 3 ring",
false, false, 0, NULL);
mca_base_param_lookup_int(mca_param_indices->algorithm_param_index, &(requested_alg));
if( requested_alg > max_alg ) {
if( 0 == ompi_comm_rank( MPI_COMM_WORLD ) ) {
orte_output( 0, "Reduce_scatter algorithm #%d is not available (range [0..%d]). Switching back to ignore(0)\n",
requested_alg, max_alg );
}
mca_base_param_set_int( mca_param_indices->algorithm_param_index, 0);
}
mca_param_indices->segsize_param_index
= mca_base_param_reg_int(&mca_coll_tuned_component.super.collm_version,
"reduce_scatter_algorithm_segmentsize",
"Segment size in bytes used by default for reduce_scatter algorithms. Only has meaning if algorithm is forced and supports segmenting. 0 bytes means no segmentation.",
false, false, 0, NULL);
mca_param_indices->tree_fanout_param_index
= mca_base_param_reg_int(&mca_coll_tuned_component.super.collm_version,
"reduce_scatter_algorithm_tree_fanout",
"Fanout for n-tree used for reduce_scatter algorithms. Only has meaning if algorithm is forced and supports n-tree topo based operation.",
false, false,
ompi_coll_tuned_init_tree_fanout, /* get system wide default */
NULL);
mca_param_indices->chain_fanout_param_index
= mca_base_param_reg_int(&mca_coll_tuned_component.super.collm_version,
"reduce_scatter_algorithm_chain_fanout",
"Fanout for chains used for reduce_scatter algorithms. Only has meaning if algorithm is forced and supports chain topo based operation.",
false, false,
ompi_coll_tuned_init_chain_fanout, /* get system wide default */
NULL);
return (MPI_SUCCESS);
}
int ompi_coll_tuned_reduce_scatter_intra_do_forced(void *sbuf, void* rbuf,
int *rcounts,
struct ompi_datatype_t *dtype,
struct ompi_op_t *op,
struct ompi_communicator_t *comm,
struct mca_coll_base_module_1_1_0_t *module)
{
mca_coll_tuned_module_t *tuned_module = (mca_coll_tuned_module_t*) module;
mca_coll_tuned_comm_t *data = tuned_module->tuned_data;
ORTE_OUTPUT((ompi_coll_tuned_stream,"coll:tuned:reduce_scatter_intra_do_forced selected algorithm %d",
data->user_forced[REDUCESCATTER].algorithm));
switch (data->user_forced[REDUCESCATTER].algorithm) {
case (0): return ompi_coll_tuned_reduce_scatter_intra_dec_fixed (sbuf, rbuf, rcounts,
dtype, op, comm, module);
case (1): return ompi_coll_tuned_reduce_scatter_intra_nonoverlapping(sbuf, rbuf, rcounts,
dtype, op, comm, module);
case (2): return ompi_coll_tuned_reduce_scatter_intra_basic_recursivehalving(sbuf, rbuf, rcounts,
dtype, op, comm, module);
case (3): return ompi_coll_tuned_reduce_scatter_intra_ring (sbuf, rbuf, rcounts,
dtype, op, comm, module);
default:
ORTE_OUTPUT((ompi_coll_tuned_stream,"coll:tuned:reduce_scatter_intra_do_forced attempt to select algorithm %d when only 0-%d is valid?",
data->user_forced[REDUCESCATTER].algorithm, ompi_coll_tuned_forced_max_algorithms[REDUCESCATTER]));
return (MPI_ERR_ARG);
} /* switch */
}
int ompi_coll_tuned_reduce_scatter_intra_do_this(void *sbuf, void* rbuf,
int *rcounts,
struct ompi_datatype_t *dtype,
struct ompi_op_t *op,
struct ompi_communicator_t *comm,
struct mca_coll_base_module_1_1_0_t *module,
int algorithm, int faninout, int segsize)
{
ORTE_OUTPUT((ompi_coll_tuned_stream,"coll:tuned:reduce_scatter_intra_do_this selected algorithm %d topo faninout %d segsize %d",
algorithm, faninout, segsize));
switch (algorithm) {
case (0): return ompi_coll_tuned_reduce_scatter_intra_dec_fixed (sbuf, rbuf, rcounts,
dtype, op, comm, module);
case (1): return ompi_coll_tuned_reduce_scatter_intra_nonoverlapping(sbuf, rbuf, rcounts,
dtype, op, comm, module);
case (2): return ompi_coll_tuned_reduce_scatter_intra_basic_recursivehalving(sbuf, rbuf, rcounts,
dtype, op, comm, module);
case (3): return ompi_coll_tuned_reduce_scatter_intra_ring (sbuf, rbuf, rcounts,
dtype, op, comm, module);
default:
ORTE_OUTPUT((ompi_coll_tuned_stream,"coll:tuned:reduce_scatter_intra_do_this attempt to select algorithm %d when only 0-%d is valid?",
algorithm, ompi_coll_tuned_forced_max_algorithms[REDUCESCATTER]));
return (MPI_ERR_ARG);
} /* switch */
}