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openmpi/ompi/mca/coll/libnbc/nbc_iallreduce.c
Alex Anenkov 77d466edf3 coll/libnbc: add recursive doubling algorithm for MPI_Iallreduce
Signed-off-by: Alex Anenkov <anenkov.ru@gmail.com>
2019-05-19 18:39:11 +07:00

1210 строки
46 KiB
C

/* -*- Mode: C; c-basic-offset:2 ; indent-tabs-mode:nil -*- */
/*
* Copyright (c) 2006 The Trustees of Indiana University and Indiana
* University Research and Technology
* Corporation. All rights reserved.
* Copyright (c) 2006 The Technical University of Chemnitz. All
* rights reserved.
* Copyright (c) 2013-2017 Los Alamos National Security, LLC. All rights
* reserved.
* Copyright (c) 2014-2018 Research Organization for Information Science
* and Technology (RIST). All rights reserved.
* Copyright (c) 2017 IBM Corporation. All rights reserved.
* Copyright (c) 2018 FUJITSU LIMITED. All rights reserved.
* $COPYRIGHT$
*
* Additional copyrights may follow
*
* Author(s): Torsten Hoefler <htor@cs.indiana.edu>
*
*/
#include "nbc_internal.h"
#include "ompi/communicator/communicator.h"
#include "ompi/datatype/ompi_datatype.h"
#include "ompi/op/op.h"
#include "opal/util/bit_ops.h"
#include <assert.h>
static inline int allred_sched_diss(int rank, int p, int count, MPI_Datatype datatype, ptrdiff_t gap, const void *sendbuf,
void *recvbuf, MPI_Op op, char inplace, NBC_Schedule *schedule, void *tmpbuf);
static inline int allred_sched_recursivedoubling(int rank, int p, const void *sendbuf, void *recvbuf,
int count, MPI_Datatype datatype, ptrdiff_t gap, MPI_Op op,
char inplace, NBC_Schedule *schedule, void *tmpbuf);
static inline int allred_sched_ring(int rank, int p, int count, MPI_Datatype datatype, const void *sendbuf,
void *recvbuf, MPI_Op op, int size, int ext, NBC_Schedule *schedule,
void *tmpbuf);
static inline int allred_sched_linear(int rank, int p, const void *sendbuf, void *recvbuf, int count,
MPI_Datatype datatype, ptrdiff_t gap, MPI_Op op, int ext, int size,
NBC_Schedule *schedule, void *tmpbuf);
static inline int allred_sched_redscat_allgather(
int rank, int comm_size, int count, MPI_Datatype datatype, ptrdiff_t gap,
const void *sbuf, void *rbuf, MPI_Op op, char inplace,
NBC_Schedule *schedule, void *tmpbuf, struct ompi_communicator_t *comm);
#ifdef NBC_CACHE_SCHEDULE
/* tree comparison function for schedule cache */
int NBC_Allreduce_args_compare(NBC_Allreduce_args *a, NBC_Allreduce_args *b, void *param) {
if ((a->sendbuf == b->sendbuf) &&
(a->recvbuf == b->recvbuf) &&
(a->count == b->count) &&
(a->datatype == b->datatype) &&
(a->op == b->op)) {
return 0;
}
if( a->sendbuf < b->sendbuf ) {
return -1;
}
return 1;
}
#endif
static int nbc_allreduce_init(const void* sendbuf, void* recvbuf, int count, MPI_Datatype datatype, MPI_Op op,
struct ompi_communicator_t *comm, ompi_request_t ** request,
struct mca_coll_base_module_2_3_0_t *module, bool persistent)
{
int rank, p, res;
ptrdiff_t ext, lb;
NBC_Schedule *schedule;
size_t size;
#ifdef NBC_CACHE_SCHEDULE
NBC_Allreduce_args *args, *found, search;
#endif
enum { NBC_ARED_BINOMIAL, NBC_ARED_RING, NBC_ARED_REDSCAT_ALLGATHER, NBC_ARED_RDBL } alg;
char inplace;
void *tmpbuf = NULL;
ompi_coll_libnbc_module_t *libnbc_module = (ompi_coll_libnbc_module_t*) module;
ptrdiff_t span, gap;
NBC_IN_PLACE(sendbuf, recvbuf, inplace);
rank = ompi_comm_rank (comm);
p = ompi_comm_size (comm);
res = ompi_datatype_get_extent(datatype, &lb, &ext);
if (OMPI_SUCCESS != res) {
NBC_Error ("MPI Error in ompi_datatype_type_extent() (%i)", res);
return res;
}
res = ompi_datatype_type_size (datatype, &size);
if (OMPI_SUCCESS != res) {
NBC_Error ("MPI Error in ompi_datatype_type_size() (%i)", res);
return res;
}
if (1 == p && (!persistent || inplace)) {
if (!inplace) {
/* for a single node - copy data to receivebuf */
res = NBC_Copy(sendbuf, count, datatype, recvbuf, count, datatype, comm);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
}
return nbc_get_noop_request(persistent, request);
}
span = opal_datatype_span(&datatype->super, count, &gap);
tmpbuf = malloc (span);
if (OPAL_UNLIKELY(NULL == tmpbuf)) {
return OMPI_ERR_OUT_OF_RESOURCE;
}
/* algorithm selection */
int nprocs_pof2 = opal_next_poweroftwo(p) >> 1;
if (libnbc_iallreduce_algorithm == 0) {
if(p < 4 || size*count < 65536 || !ompi_op_is_commute(op) || inplace) {
alg = NBC_ARED_BINOMIAL;
} else if (count >= nprocs_pof2 && ompi_op_is_commute(op)) {
alg = NBC_ARED_REDSCAT_ALLGATHER;
} else {
alg = NBC_ARED_RING;
}
} else {
if (libnbc_iallreduce_algorithm == 1)
alg = NBC_ARED_RING;
else if (libnbc_iallreduce_algorithm == 2)
alg = NBC_ARED_BINOMIAL;
else if (libnbc_iallreduce_algorithm == 3 && count >= nprocs_pof2 && ompi_op_is_commute(op))
alg = NBC_ARED_REDSCAT_ALLGATHER;
else if (libnbc_iallreduce_algorithm == 4)
alg = NBC_ARED_RDBL;
else
alg = NBC_ARED_RING;
}
#ifdef NBC_CACHE_SCHEDULE
/* search schedule in communicator specific tree */
search.sendbuf = sendbuf;
search.recvbuf = recvbuf;
search.count = count;
search.datatype = datatype;
search.op = op;
found = (NBC_Allreduce_args *) hb_tree_search ((hb_tree *) libnbc_module->NBC_Dict[NBC_ALLREDUCE], &search);
if (NULL == found) {
#endif
schedule = OBJ_NEW(NBC_Schedule);
if (NULL == schedule) {
free(tmpbuf);
return OMPI_ERR_OUT_OF_RESOURCE;
}
if (p == 1) {
res = NBC_Sched_copy((void *)sendbuf, false, count, datatype,
recvbuf, false, count, datatype, schedule, false);
} else {
switch(alg) {
case NBC_ARED_BINOMIAL:
res = allred_sched_diss(rank, p, count, datatype, gap, sendbuf, recvbuf, op, inplace, schedule, tmpbuf);
break;
case NBC_ARED_REDSCAT_ALLGATHER:
res = allred_sched_redscat_allgather(rank, p, count, datatype, gap, sendbuf, recvbuf, op, inplace, schedule, tmpbuf, comm);
break;
case NBC_ARED_RING:
res = allred_sched_ring(rank, p, count, datatype, sendbuf, recvbuf, op, size, ext, schedule, tmpbuf);
break;
case NBC_ARED_RDBL:
res = allred_sched_recursivedoubling(rank, p, sendbuf, recvbuf, count, datatype, gap, op, inplace, schedule, tmpbuf);
break;
}
}
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
OBJ_RELEASE(schedule);
free(tmpbuf);
return res;
}
res = NBC_Sched_commit(schedule);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
OBJ_RELEASE(schedule);
free(tmpbuf);
return res;
}
#ifdef NBC_CACHE_SCHEDULE
/* save schedule to tree */
args = (NBC_Allreduce_args *) malloc (sizeof(args));
if (NULL != args) {
args->sendbuf = sendbuf;
args->recvbuf = recvbuf;
args->count = count;
args->datatype = datatype;
args->op = op;
args->schedule = schedule;
res = hb_tree_insert ((hb_tree *) libnbc_module->NBC_Dict[NBC_ALLREDUCE], args, args, 0);
if (0 == res) {
OBJ_RETAIN(schedule);
/* increase number of elements for A2A */
if (++libnbc_module->NBC_Dict_size[NBC_ALLREDUCE] > NBC_SCHED_DICT_UPPER) {
NBC_SchedCache_dictwipe ((hb_tree *) libnbc_module->NBC_Dict[NBC_ALLREDUCE],
&libnbc_module->NBC_Dict_size[NBC_ALLREDUCE]);
}
} else {
NBC_Error("error in dict_insert() (%i)", res);
free (args);
}
}
} else {
/* found schedule */
schedule = found->schedule;
OBJ_RETAIN(schedule);
}
#endif
res = NBC_Schedule_request (schedule, comm, libnbc_module, persistent, request, tmpbuf);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
OBJ_RELEASE(schedule);
free(tmpbuf);
return res;
}
return OMPI_SUCCESS;
}
int ompi_coll_libnbc_iallreduce(const void* sendbuf, void* recvbuf, int count, MPI_Datatype datatype, MPI_Op op,
struct ompi_communicator_t *comm, ompi_request_t ** request,
struct mca_coll_base_module_2_3_0_t *module) {
int res = nbc_allreduce_init(sendbuf, recvbuf, count, datatype, op,
comm, request, module, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
res = NBC_Start(*(ompi_coll_libnbc_request_t **)request);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
NBC_Return_handle (*(ompi_coll_libnbc_request_t **)request);
*request = &ompi_request_null.request;
return res;
}
return OMPI_SUCCESS;
}
static int nbc_allreduce_inter_init(const void* sendbuf, void* recvbuf, int count, MPI_Datatype datatype, MPI_Op op,
struct ompi_communicator_t *comm, ompi_request_t ** request,
struct mca_coll_base_module_2_3_0_t *module, bool persistent)
{
int rank, res, rsize;
size_t size;
MPI_Aint ext;
NBC_Schedule *schedule;
void *tmpbuf = NULL;
ompi_coll_libnbc_module_t *libnbc_module = (ompi_coll_libnbc_module_t*) module;
ptrdiff_t span, gap;
rank = ompi_comm_rank (comm);
rsize = ompi_comm_remote_size (comm);
res = ompi_datatype_type_extent(datatype, &ext);
if (MPI_SUCCESS != res) {
NBC_Error("MPI Error in ompi_datatype_type_extent() (%i)", res);
return res;
}
res = ompi_datatype_type_size(datatype, &size);
if (MPI_SUCCESS != res) {
NBC_Error("MPI Error in ompi_datatype_type_size() (%i)", res);
return res;
}
span = opal_datatype_span(&datatype->super, count, &gap);
tmpbuf = malloc (span);
if (OPAL_UNLIKELY(NULL == tmpbuf)) {
return OMPI_ERR_OUT_OF_RESOURCE;
}
schedule = OBJ_NEW(NBC_Schedule);
if (OPAL_UNLIKELY(NULL == schedule)) {
free(tmpbuf);
return OMPI_ERR_OUT_OF_RESOURCE;
}
res = allred_sched_linear (rank, rsize, sendbuf, recvbuf, count, datatype, gap, op,
ext, size, schedule, tmpbuf);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
OBJ_RELEASE(schedule);
free(tmpbuf);
return res;
}
res = NBC_Sched_commit(schedule);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
OBJ_RELEASE(schedule);
free(tmpbuf);
return res;
}
res = NBC_Schedule_request(schedule, comm, libnbc_module, persistent, request, tmpbuf);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
OBJ_RELEASE(schedule);
free(tmpbuf);
return res;
}
return OMPI_SUCCESS;
}
int ompi_coll_libnbc_iallreduce_inter(const void* sendbuf, void* recvbuf, int count, MPI_Datatype datatype, MPI_Op op,
struct ompi_communicator_t *comm, ompi_request_t ** request,
struct mca_coll_base_module_2_3_0_t *module) {
int res = nbc_allreduce_inter_init(sendbuf, recvbuf, count, datatype, op,
comm, request, module, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
res = NBC_Start(*(ompi_coll_libnbc_request_t **)request);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
NBC_Return_handle (*(ompi_coll_libnbc_request_t **)request);
*request = &ompi_request_null.request;
return res;
}
return OMPI_SUCCESS;
}
/* binomial allreduce (binomial tree up and binomial bcast down)
* working principle:
* - each node gets a virtual rank vrank
* - the 'root' node get vrank 0
* - node 0 gets the vrank of the 'root'
* - all other ranks stay identical (they do not matter)
*
* Algorithm:
* pairwise exchange
* round r:
* grp = rank % 2^r
* if grp == 0: receive from rank + 2^(r-1) if it exists and reduce value
* if grp == 1: send to rank - 2^(r-1) and exit function
*
* do this for R=log_2(p) rounds
* followed by a Bcast:
* Algorithm:
* - each node with vrank > 2^r and vrank < 2^r+1 receives from node
* vrank - 2^r (vrank=1 receives from 0, vrank 0 receives never)
* - each node sends each round r to node vrank + 2^r
* - a node stops to send if 2^r > commsize
*
*/
#define RANK2VRANK(rank, vrank, root) \
{ \
vrank = rank; \
if (rank == 0) vrank = root; \
if (rank == root) vrank = 0; \
}
#define VRANK2RANK(rank, vrank, root) \
{ \
rank = vrank; \
if (vrank == 0) rank = root; \
if (vrank == root) rank = 0; \
}
static inline int allred_sched_diss(int rank, int p, int count, MPI_Datatype datatype, ptrdiff_t gap, const void *sendbuf, void *recvbuf,
MPI_Op op, char inplace, NBC_Schedule *schedule, void *tmpbuf) {
int root, vrank, maxr, vpeer, peer, res;
char *rbuf, *lbuf, *buf;
int tmprbuf, tmplbuf;
root = 0; /* this makes the code for ireduce and iallreduce nearly identical - could be changed to improve performance */
RANK2VRANK(rank, vrank, root);
maxr = (int)ceil((log((double)p)/LOG2));
/* ensure the result ends up in recvbuf on vrank 0 */
if (0 == (maxr%2)) {
rbuf = (void *)(-gap);
tmprbuf = true;
lbuf = recvbuf;
tmplbuf = false;
} else {
lbuf = (void *)(-gap);
tmplbuf = true;
rbuf = recvbuf;
tmprbuf = false;
if (inplace) {
res = NBC_Sched_copy(rbuf, false, count, datatype,
((char *)tmpbuf) - gap, false, count, datatype,
schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
}
}
for (int r = 1, firstred = 1 ; r <= maxr ; ++r) {
if ((vrank % (1 << r)) == 0) {
/* we have to receive this round */
vpeer = vrank + (1 << (r - 1));
VRANK2RANK(peer, vpeer, root)
if (peer < p) {
/* we have to wait until we have the data */
res = NBC_Sched_recv (rbuf, tmprbuf, count, datatype, peer, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
/* this cannot be done until tmpbuf is unused :-( so barrier after the op */
if (firstred && !inplace) {
/* perform the reduce with the senbuf */
res = NBC_Sched_op (sendbuf, false, rbuf, tmprbuf, count, datatype, op, schedule, true);
firstred = 0;
} else {
/* perform the reduce in my local buffer */
res = NBC_Sched_op (lbuf, tmplbuf, rbuf, tmprbuf, count, datatype, op, schedule, true);
}
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
/* swap left and right buffers */
buf = rbuf; rbuf = lbuf ; lbuf = buf;
tmprbuf ^= 1; tmplbuf ^= 1;
}
} else {
/* we have to send this round */
vpeer = vrank - (1 << (r - 1));
VRANK2RANK(peer, vpeer, root)
if (firstred && !inplace) {
/* we have to use the sendbuf in the first round .. */
res = NBC_Sched_send (sendbuf, false, count, datatype, peer, schedule, false);
} else {
/* and the recvbuf in all remaining rounds */
res = NBC_Sched_send (lbuf, tmplbuf, count, datatype, peer, schedule, false);
}
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
/* leave the game */
break;
}
}
/* this is the Bcast part - copied with minor changes from nbc_ibcast.c
* changed: buffer -> recvbuf */
RANK2VRANK(rank, vrank, root);
/* receive from the right hosts */
if (vrank != 0) {
for (int r = 0; r < maxr ; ++r) {
if ((vrank >= (1 << r)) && (vrank < (1 << (r + 1)))) {
VRANK2RANK(peer, vrank - (1 << r), root);
res = NBC_Sched_recv (recvbuf, false, count, datatype, peer, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
}
}
res = NBC_Sched_barrier (schedule);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
}
if (0 == vrank) assert(lbuf == recvbuf);
/* now send to the right hosts */
for (int r = 0; r < maxr; ++r) {
if (((vrank + (1 << r) < p) && (vrank < (1 << r))) || (vrank == 0)) {
VRANK2RANK(peer, vrank + (1 << r), root);
res = NBC_Sched_send (recvbuf, false, count, datatype, peer, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
}
}
/* end of the bcast */
return OMPI_SUCCESS;
}
/*
* allred_sched_recursivedoubling
*
* Function: Recursive doubling algorithm for iallreduce operation
*
* Description: Implements recursive doubling algorithm for iallreduce.
* The algorithm preserves order of operations so it can
* be used both by commutative and non-commutative operations.
* Schedule length: O(\log(p))
* Memory requirements:
* Each process requires a temporary buffer: count * typesize = O(count)
*
* Example on 7 nodes:
* Initial state
* # 0 1 2 3 4 5 6
* [0] [1] [2] [3] [4] [5] [6]
* Initial adjustment step for non-power of two nodes.
* old rank 1 3 5 6
* new rank 0 1 2 3
* [0+1] [2+3] [4+5] [6]
* Step 1
* old rank 1 3 5 6
* new rank 0 1 2 3
* [0+1+] [0+1+] [4+5+] [4+5+]
* [2+3+] [2+3+] [6 ] [6 ]
* Step 2
* old rank 1 3 5 6
* new rank 0 1 2 3
* [0+1+] [0+1+] [0+1+] [0+1+]
* [2+3+] [2+3+] [2+3+] [2+3+]
* [4+5+] [4+5+] [4+5+] [4+5+]
* [6 ] [6 ] [6 ] [6 ]
* Final adjustment step for non-power of two nodes
* # 0 1 2 3 4 5 6
* [0+1+] [0+1+] [0+1+] [0+1+] [0+1+] [0+1+] [0+1+]
* [2+3+] [2+3+] [2+3+] [2+3+] [2+3+] [2+3+] [2+3+]
* [4+5+] [4+5+] [4+5+] [4+5+] [4+5+] [4+5+] [4+5+]
* [6 ] [6 ] [6 ] [6 ] [6 ] [6 ] [6 ]
*
*/
static inline int allred_sched_recursivedoubling(int rank, int p, const void *sendbuf, void *recvbuf,
int count, MPI_Datatype datatype, ptrdiff_t gap, MPI_Op op,
char inplace, NBC_Schedule *schedule, void *tmpbuf)
{
int res, pof2, nprocs_rem, vrank;
char *tmpsend = NULL, *tmprecv = NULL, *tmpswap = NULL;
tmpsend = (char*) tmpbuf - gap;
tmprecv = (char*) recvbuf;
if (inplace) {
res = NBC_Sched_copy(recvbuf, false, count, datatype,
tmpsend, false, count, datatype, schedule, true);
} else {
res = NBC_Sched_copy((void *)sendbuf, false, count, datatype,
tmpsend, false, count, datatype, schedule, true);
}
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { return res; }
/* Get nearest power of two less than or equal to comm size */
pof2 = opal_next_poweroftwo(p) >> 1;
/* Handle non-power-of-two case:
- Even ranks less than 2 * nprocs_rem send their data to (rank + 1), and
sets new rank to -1.
- Odd ranks less than 2 * nprocs_rem receive data from (rank - 1),
apply appropriate operation, and set new rank to rank/2
- Everyone else sets rank to rank - nprocs_rem
*/
nprocs_rem = p - pof2;
if (rank < 2 * nprocs_rem) {
if (0 == rank % 2) { /* Even */
res = NBC_Sched_send(tmpsend, false, count, datatype, rank + 1, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { return res; }
vrank = -1;
} else { /* Odd */
res = NBC_Sched_recv(tmprecv, false, count, datatype, rank - 1, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { return res; }
/* tmpsend = tmprecv (op) tmpsend */
res = NBC_Sched_op(tmprecv, false, tmpsend, false, count, datatype, op, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { return res; }
vrank = rank >> 1;
}
} else {
vrank = rank - nprocs_rem;
}
/* Communication/Computation loop
- Exchange message with remote node.
- Perform appropriate operation taking in account order of operations:
result = value (op) result
*/
if (0 <= vrank) {
for (int distance = 1; distance < pof2; distance <<= 1) {
int remote = vrank ^ distance;
/* Find real rank of remote node */
if (remote < nprocs_rem) {
remote = remote * 2 + 1;
} else {
remote += nprocs_rem;
}
/* Exchange the data */
res = NBC_Sched_send(tmpsend, false, count, datatype, remote, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { return res; }
res = NBC_Sched_recv(tmprecv, false, count, datatype, remote, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { return res; }
/* Apply operation */
if (rank < remote) {
/* tmprecv = tmpsend (op) tmprecv */
res = NBC_Sched_op(tmpsend, false, tmprecv, false,
count, datatype, op, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { return res; }
/* Swap tmpsend and tmprecv buffers */
tmpswap = tmprecv; tmprecv = tmpsend; tmpsend = tmpswap;
} else {
/* tmpsend = tmprecv (op) tmpsend */
res = NBC_Sched_op(tmprecv, false, tmpsend, false,
count, datatype, op, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { return res; }
}
}
}
/* Handle non-power-of-two case:
- Even ranks less than 2 * nprocs_rem receive result from (rank + 1)
- Odd ranks less than 2 * nprocs_rem send result from tmpsend to (rank - 1)
*/
if (rank < 2 * nprocs_rem) {
if (0 == rank % 2) { /* Even */
res = NBC_Sched_recv(recvbuf, false, count, datatype, rank + 1, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { return res; }
tmpsend = (char *)recvbuf;
} else { /* Odd */
res = NBC_Sched_send(tmpsend, false, count, datatype, rank - 1, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { return res; }
}
}
/* Copy result back into recvbuf */
if (tmpsend != recvbuf) {
res = NBC_Sched_copy(tmpsend, false, count, datatype,
recvbuf, false, count, datatype, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { return res; }
}
return OMPI_SUCCESS;
}
static inline int allred_sched_ring (int r, int p, int count, MPI_Datatype datatype, const void *sendbuf, void *recvbuf, MPI_Op op,
int size, int ext, NBC_Schedule *schedule, void *tmpbuf) {
int segsize, *segsizes, *segoffsets; /* segment sizes and offsets per segment (number of segments == number of nodes */
int speer, rpeer; /* send and recvpeer */
int res = OMPI_SUCCESS;
if (count == 0) {
return OMPI_SUCCESS;
}
segsizes = (int *) malloc (sizeof (int) * p);
segoffsets = (int *) malloc (sizeof (int) * p);
if (NULL == segsizes || NULL == segoffsets) {
free (segsizes);
free (segoffsets);
return OMPI_ERR_OUT_OF_RESOURCE;
}
segsize = (count + p - 1) / p; /* size of the segments */
segoffsets[0] = 0;
for (int i = 0, mycount = count ; i < p ; ++i) {
mycount -= segsize;
segsizes[i] = segsize;
if (mycount < 0) {
segsizes[i] = segsize + mycount;
mycount = 0;
}
if (i) {
segoffsets[i] = segoffsets[i-1] + segsizes[i-1];
}
}
/* reduce peers */
speer = (r + 1) % p;
rpeer = (r - 1 + p) % p;
/* + -> reduced this round
* / -> sum (reduced in a previous step)
*
* *** round 0 ***
* 0 1 2
*
* 00 10 20 0: [1] -> 1
* 01 11 21 1: [2] -> 2
* 02 12 22 2: [0] -> 0 --> send element (r+1)%p to node (r+1)%p
*
* *** round 1 ***
* 0 1 2
*
* 00+20 10 20 0: red(0), [0] -> 1
* 01 11+01 21 1: red(1), [1] -> 2
* 02 12 22+12 2: red(2), [2] -> 0 --> reduce and send element (r+0)%p to node (r+1)%p
*
* *** round 2 ***
* 0 1 2
*
* 00/20 all 20 0: red(2), [2] -> 1
* 01 11/01 all 1: red(0), [0] -> 2
* all 12 22/12 2: red(1), [1] -> 0 --> reduce and send (r-1)%p to node (r+1)%p
*
* *** round 3 ***
* 0 1 2
*
* 00/20 all all 0: [1] -> 1
* all 11/01 all 1: [2] -> 2
* all all 22/12 2: [0] -> 0 --> send element (r-2)%p to node (r+1)%p
*
* *** round 4 ***
* 0 1 2
*
* all all all 0: done
* all all all 1: done
* all all all 2: done
*
* -> 4
* *** round 0 ***
* 0 1 2 3
*
* 00 10 20 30 0: [1] -> 1
* 01 11 21 31 1: [2] -> 2
* 02 12 22 32 2: [3] -> 3
* 03 13 23 33 3: [0] -> 0 --> send element (r+1)%p to node (r+1)%p
*
* *** round 1 ***
* 0 1 2 3
*
* 00+30 10 20 30 0: red(0), [0] -> 1
* 01 11+01 21 31 1: red(1), [1] -> 2
* 02 12 22+12 32 2: red(2), [2] -> 3
* 03 13 23 33+23 3: red(3), [3] -> 0 --> reduce and send element (r+0)%p to node (r+1)%p
*
* *** round 2 ***
* 0 1 2 3
*
* 00/30 10+00/30 20 30 0: red(3), [3] -> 1
* 01 11/01 21+11/01 31 1: red(0), [0] -> 2
* 02 12 22/12 32+22/12 2: red(1), [1] -> 3
* 03+33/23 13 23 33/23 3: red(2), [2] -> 0 --> reduce and send (r-1)%p to node (r+1)%p
*
* *** round 3 ***
* 0 1 2 3
*
* 00/30 10/00/30 all 30 0: red(2), [2] -> 1
* 01 11/01 21/11/01 all 1: red(3), [3] -> 2
* all 12 22/12 32/22/12 2: red(0), [0] -> 3
* 03/33/23 all 23 33/23 3: red(1), [1] -> 0 --> reduce and send (r-2)%p to node (r+1)%p
*
* *** round 4 ***
* 0 1 2 3
*
* 00/30 10/00/30 all all 0: [1] -> 1
* all 11/01 21/11/01 all 1: [2] -> 2
* all all 22/12 32/22/12 2: [3] -> 3
* 03/33/23 all all 33/23 3: [0] -> 0 --> receive and send element (r+1)%p to node (r+1)%p
*
* *** round 5 ***
* 0 1 2 3
*
* all 10/00/30 all all 0: [0] -> 1
* all all 21/11/01 all 1: [1] -> 2
* all all all 32/22/12 2: [3] -> 3
* 03/33/23 all all all 3: [4] -> 4 --> receive and send element (r-0)%p to node (r+1)%p
*
* *** round 6 ***
* 0 1 2 3
*
* all all all all
* all all all all
* all all all all
* all all all all receive element (r-1)%p
*
* 2p-2 rounds ... every node does p-1 reductions and p-1 sends
*
*/
/* first p-1 rounds are reductions */
for (int round = 0 ; round < p - 1 ; ++round) {
int selement = (r+1-round + 2*p /*2*p avoids negative mod*/)%p; /* the element I am sending */
int soffset = segoffsets[selement]*ext;
int relement = (r-round + 2*p /*2*p avoids negative mod*/)%p; /* the element that I receive from my neighbor */
int roffset = segoffsets[relement]*ext;
/* first message come out of sendbuf */
if (round == 0) {
res = NBC_Sched_send ((char *) sendbuf + soffset, false, segsizes[selement], datatype, speer,
schedule, false);
} else {
res = NBC_Sched_send ((char *) recvbuf + soffset, false, segsizes[selement], datatype, speer,
schedule, false);
}
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
break;
}
res = NBC_Sched_recv ((char *) recvbuf + roffset, false, segsizes[relement], datatype, rpeer,
schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
break;
}
res = NBC_Sched_op ((char *) sendbuf + roffset, false, (char *) recvbuf + roffset, false,
segsizes[relement], datatype, op, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
break;
}
}
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
free (segsizes);
free (segoffsets);
return res;
}
for (int round = p - 1 ; round < 2 * p - 2 ; ++round) {
int selement = (r+1-round + 2*p /*2*p avoids negative mod*/)%p; /* the element I am sending */
int soffset = segoffsets[selement]*ext;
int relement = (r-round + 2*p /*2*p avoids negative mod*/)%p; /* the element that I receive from my neighbor */
int roffset = segoffsets[relement]*ext;
res = NBC_Sched_send ((char *) recvbuf + soffset, false, segsizes[selement], datatype, speer,
schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
break;
}
res = NBC_Sched_recv ((char *) recvbuf + roffset, false, segsizes[relement], datatype, rpeer,
schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
break;
}
}
free (segsizes);
free (segoffsets);
return res;
}
static inline int allred_sched_linear(int rank, int rsize, const void *sendbuf, void *recvbuf, int count, MPI_Datatype datatype,
ptrdiff_t gap, MPI_Op op, int ext, int size, NBC_Schedule *schedule, void *tmpbuf) {
int res;
if (0 == count) {
return OMPI_SUCCESS;
}
/* send my data to the remote root */
res = NBC_Sched_send (sendbuf, false, count, datatype, 0, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
/* recv my data to the remote root */
if (0 != rank || 1 ==(rsize%2)) {
res = NBC_Sched_recv (recvbuf, false, count, datatype, 0, schedule, false);
} else {
res = NBC_Sched_recv ((void *)(-gap), true, count, datatype, 0, schedule, false);
}
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
if (0 == rank) {
char *rbuf, *lbuf, *buf;
int tmprbuf, tmplbuf;
res = NBC_Sched_barrier (schedule);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
/* ensure the result ends up in recvbuf */
if (0 == (rsize%2)) {
lbuf = (void *)(-gap);
tmplbuf = true;
rbuf = recvbuf;
tmprbuf = false;
} else {
rbuf = (void *)(-gap);
tmprbuf = true;
lbuf = recvbuf;
tmplbuf = false;
}
/* get data from remote peers and reduce */
for (int rpeer = 1 ; rpeer < rsize ; ++rpeer) {
res = NBC_Sched_recv (rbuf, tmprbuf, count, datatype, rpeer, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
res = NBC_Sched_op (lbuf, tmplbuf, rbuf, tmprbuf, count, datatype, op, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
/* swap left and right buffers */
buf = rbuf; rbuf = lbuf ; lbuf = buf;
tmprbuf ^= 1; tmplbuf ^= 1;
}
/* exchange our result with the remote root (each root will broadcast to the other's peers) */
res = NBC_Sched_recv ((void *)(-gap), true, count, datatype, 0, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
/* wait for data from remote root */
res = NBC_Sched_send (recvbuf, false, count, datatype, 0, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
/* broadcast the result to all remote peers */
for (int rpeer = 1 ; rpeer < rsize ; ++rpeer) {
res = NBC_Sched_send ((void *)(-gap), true, count, datatype, rpeer, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
}
}
return OMPI_SUCCESS;
}
/*
* allred_sched_redscat_allgather:
*
* Description: an implementation of Rabenseifner's Allreduce algorithm [1, 2].
* [1] Rajeev Thakur, Rolf Rabenseifner and William Gropp.
* Optimization of Collective Communication Operations in MPICH //
* The Int. Journal of High Performance Computing Applications. Vol 19,
* Issue 1, pp. 49--66.
* [2] http://www.hlrs.de/mpi/myreduce.html.
*
* This algorithm is a combination of a reduce-scatter implemented with
* recursive vector halving and recursive distance doubling, followed either
* by an allgather implemented with recursive doubling.
*
* Step 1. If the number of processes is not a power of two, reduce it to
* the nearest lower power of two (p' = 2^{\floor{\log_2 p}})
* by removing r = p - p' extra processes as follows. In the first 2r processes
* (ranks 0 to 2r - 1), all the even ranks send the second half of the input
* vector to their right neighbor (rank + 1), and all the odd ranks send
* the first half of the input vector to their left neighbor (rank - 1).
* The even ranks compute the reduction on the first half of the vector and
* the odd ranks compute the reduction on the second half. The odd ranks then
* send the result to their left neighbors (the even ranks). As a result,
* the even ranks among the first 2r processes now contain the reduction with
* the input vector on their right neighbors (the odd ranks). These odd ranks
* do not participate in the rest of the algorithm, which leaves behind
* a power-of-two number of processes. The first r even-ranked processes and
* the last p - 2r processes are now renumbered from 0 to p' - 1.
*
* Step 2. The remaining processes now perform a reduce-scatter by using
* recursive vector halving and recursive distance doubling. The even-ranked
* processes send the second half of their buffer to rank + 1 and the odd-ranked
* processes send the first half of their buffer to rank - 1. All processes
* then compute the reduction between the local buffer and the received buffer.
* In the next log_2(p') - 1 steps, the buffers are recursively halved, and the
* distance is doubled. At the end, each of the p' processes has 1 / p' of the
* total reduction result.
*
* Step 3. An allgather is performed by using recursive vector doubling and
* distance halving. All exchanges are executed in reverse order relative
* to recursive doubling on previous step. If the number of processes is not
* a power of two, the total result vector must be sent to the r processes
* that were removed in the first step.
*
* Limitations:
* count >= 2^{\floor{\log_2 p}}
* commutative operations only
* intra-communicators only
*
* Memory requirements (per process):
* count * typesize + 4 * \log_2(p) * sizeof(int) = O(count)
*
* Schedule length (rounds): O(\log(p))
*/
static inline int allred_sched_redscat_allgather(
int rank, int comm_size, int count, MPI_Datatype datatype, ptrdiff_t gap,
const void *sbuf, void *rbuf, MPI_Op op, char inplace,
NBC_Schedule *schedule, void *tmpbuf, struct ompi_communicator_t *comm)
{
int res = OMPI_SUCCESS;
int *rindex = NULL, *rcount = NULL, *sindex = NULL, *scount = NULL;
/* Find nearest power-of-two less than or equal to comm_size */
int nsteps = opal_hibit(comm_size, comm->c_cube_dim + 1); /* ilog2(comm_size) */
int nprocs_pof2 = 1 << nsteps; /* flp2(comm_size) */
if (!inplace) {
res = NBC_Sched_copy((char *)sbuf, false, count, datatype,
rbuf, false, count, datatype, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
}
char *tmp_buf = (char *)tmpbuf - gap;
ptrdiff_t lb, extent;
ompi_datatype_get_extent(datatype, &lb, &extent);
/*
* 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.
* 1. In the first 2r processes (ranks 0 to 2r - 1), all the even ranks send
* the second half of the input vector to their right neighbor (rank + 1)
* and all the odd ranks send the first half of the input vector to their
* left neighbor (rank - 1).
* 2. All 2r processes compute the reduction on their half.
* 3. The odd ranks then send the result to their left neighbors
* (the even ranks).
*
* The even ranks (0 to 2r - 1) now contain the reduction with the input
* vector on their right neighbors (the odd ranks). The first r even
* processes and the p - 2r last processes are renumbered from
* 0 to 2^{\floor{\log_2 p}} - 1.
*/
int vrank, step, wsize;
int nprocs_rem = comm_size - nprocs_pof2;
if (rank < 2 * nprocs_rem) {
int count_lhalf = count / 2;
int count_rhalf = count - count_lhalf;
if (rank % 2 != 0) {
/*
* Odd process -- exchange with rank - 1
* Send the left half of the input vector to the left neighbor,
* Recv the right half of the input vector from the left neighbor
*/
res = NBC_Sched_send(rbuf, false, count_lhalf, datatype, rank - 1,
schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
res = NBC_Sched_recv(tmp_buf + (ptrdiff_t)count_lhalf * extent,
false, count_rhalf, datatype, rank - 1, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
res = NBC_Sched_op(tmp_buf + (ptrdiff_t)count_lhalf * extent,
false, (char *)rbuf + (ptrdiff_t)count_lhalf * extent,
false, count_rhalf, datatype, op, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
/* Send the right half to the left neighbor */
res = NBC_Sched_send((char *)rbuf + (ptrdiff_t)count_lhalf * extent,
false, count_rhalf, datatype, rank - 1, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
/* This process does not participate in recursive doubling phase */
vrank = -1;
} else {
/*
* Even process -- exchange with rank + 1
* Send the right half of the input vector to the right neighbor,
* Recv the left half of the input vector from the right neighbor
*/
res = NBC_Sched_send((char *)rbuf + (ptrdiff_t)count_lhalf * extent,
false, count_rhalf, datatype, rank + 1, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
res = NBC_Sched_recv(tmp_buf, false, count_lhalf, datatype, rank + 1,
schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
res = NBC_Sched_op(tmp_buf, false, rbuf, false, count_lhalf,
datatype, op, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
/* Recv the right half from the right neighbor */
res = NBC_Sched_recv((char *)rbuf + (ptrdiff_t)count_lhalf * extent,
false, count_rhalf, datatype, rank + 1, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
vrank = rank / 2;
}
} else { /* rank >= 2 * nprocs_rem */
vrank = rank - nprocs_rem;
}
/*
* Step 2. Reduce-scatter implemented with recursive vector halving and
* recursive distance doubling. We have p' = 2^{\floor{\log_2 p}}
* power-of-two number of processes with new ranks (vrank) and result in rbuf.
*
* The even-ranked processes send the right half of their buffer to rank + 1
* and the odd-ranked processes send the left half of their buffer to
* rank - 1. All processes then compute the reduction between the local
* buffer and the received buffer. In the next \log_2(p') - 1 steps, the
* buffers are recursively halved, and the distance is doubled. At the end,
* each of the p' processes has 1 / p' of the total reduction result.
*/
rindex = malloc(sizeof(*rindex) * nsteps);
sindex = malloc(sizeof(*sindex) * nsteps);
rcount = malloc(sizeof(*rcount) * nsteps);
scount = malloc(sizeof(*scount) * nsteps);
if (NULL == rindex || NULL == sindex || NULL == rcount || NULL == scount) {
res = OMPI_ERR_OUT_OF_RESOURCE;
goto cleanup_and_return;
}
if (vrank != -1) {
step = 0;
wsize = count;
sindex[0] = rindex[0] = 0;
for (int mask = 1; mask < nprocs_pof2; mask <<= 1) {
/*
* On each iteration: rindex[step] = sindex[step] -- begining of the
* current window. Length of the current window is storded in wsize.
*/
int vdest = vrank ^ mask;
/* Translate vdest virtual rank to real rank */
int dest = (vdest < nprocs_rem) ? vdest * 2 : vdest + nprocs_rem;
if (rank < dest) {
/*
* Recv into the left half of the current window, send the right
* half of the window to the peer (perform reduce on the left
* half of the current window)
*/
rcount[step] = wsize / 2;
scount[step] = wsize - rcount[step];
sindex[step] = rindex[step] + rcount[step];
} else {
/*
* Recv into the right half of the current window, send the left
* half of the window to the peer (perform reduce on the right
* half of the current window)
*/
scount[step] = wsize / 2;
rcount[step] = wsize - scount[step];
rindex[step] = sindex[step] + scount[step];
}
/* Send part of data from the rbuf, recv into the tmp_buf */
res = NBC_Sched_send((char *)rbuf + (ptrdiff_t)sindex[step] * extent,
false, scount[step], datatype, dest, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
res = NBC_Sched_recv((char *)tmp_buf + (ptrdiff_t)rindex[step] * extent,
false, rcount[step], datatype, dest, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
/* Local reduce: rbuf[] = tmp_buf[] <op> rbuf[] */
res = NBC_Sched_op((char *)tmp_buf + (ptrdiff_t)rindex[step] * extent,
false, (char *)rbuf + (ptrdiff_t)rindex[step] * extent,
false, rcount[step], datatype, op, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
/* Move the current window to the received message */
if (step + 1 < nsteps) {
rindex[step + 1] = rindex[step];
sindex[step + 1] = rindex[step];
wsize = rcount[step];
step++;
}
}
/*
* Assertion: each process has 1 / p' of the total reduction result:
* rcount[nsteps - 1] elements in the rbuf[rindex[nsteps - 1], ...].
*/
/*
* Step 3. Allgather by the recursive doubling algorithm.
* Each process has 1 / p' of the total reduction result:
* rcount[nsteps - 1] elements in the rbuf[rindex[nsteps - 1], ...].
* All exchanges are executed in reverse order relative
* to recursive doubling (previous step).
*/
step = nsteps - 1;
for (int mask = nprocs_pof2 >> 1; mask > 0; mask >>= 1) {
int vdest = vrank ^ mask;
/* Translate vdest virtual rank to real rank */
int dest = (vdest < nprocs_rem) ? vdest * 2 : vdest + nprocs_rem;
/*
* Send rcount[step] elements from rbuf[rindex[step]...]
* Recv scount[step] elements to rbuf[sindex[step]...]
*/
res = NBC_Sched_send((char *)rbuf + (ptrdiff_t)rindex[step] * extent,
false, rcount[step], datatype, dest, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
res = NBC_Sched_recv((char *)rbuf + (ptrdiff_t)sindex[step] * extent,
false, scount[step], datatype, dest, schedule, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
step--;
}
}
/*
* Step 4. Send total result to excluded odd ranks.
*/
if (rank < 2 * nprocs_rem) {
if (rank % 2 != 0) {
/* Odd process -- recv result from rank - 1 */
res = NBC_Sched_recv(rbuf, false, count, datatype, rank - 1, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
} else {
/* Even process -- send result to rank + 1 */
res = NBC_Sched_send(rbuf, false, count, datatype, rank + 1, schedule, false);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) { goto cleanup_and_return; }
}
}
cleanup_and_return:
if (NULL != rindex)
free(rindex);
if (NULL != sindex)
free(sindex);
if (NULL != rcount)
free(rcount);
if (NULL != scount)
free(scount);
return res;
}
int ompi_coll_libnbc_allreduce_init(const void* sendbuf, void* recvbuf, int count, MPI_Datatype datatype, MPI_Op op,
struct ompi_communicator_t *comm, MPI_Info info, ompi_request_t ** request,
struct mca_coll_base_module_2_3_0_t *module) {
int res = nbc_allreduce_init(sendbuf, recvbuf, count, datatype, op,
comm, request, module, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
return OMPI_SUCCESS;
}
int ompi_coll_libnbc_allreduce_inter_init(const void* sendbuf, void* recvbuf, int count, MPI_Datatype datatype, MPI_Op op,
struct ompi_communicator_t *comm, MPI_Info info, ompi_request_t ** request,
struct mca_coll_base_module_2_3_0_t *module) {
int res = nbc_allreduce_inter_init(sendbuf, recvbuf, count, datatype, op,
comm, request, module, true);
if (OPAL_UNLIKELY(OMPI_SUCCESS != res)) {
return res;
}
return OMPI_SUCCESS;
}