/* testSplitDenseMtx.c */
#include "../spoolesMPI.h"
#include "../../Drand.h"
#include "../../timings.h"
/*--------------------------------------------------------------------*/
int
main ( int argc, char *argv[] )
/*
-----------------------------------------------------
this program tests splitting a DenseMtx object
(1) process 0 generates a nrow x ncol DenseMtx object
(2) using a wrap map, distribute the object
(3) using a random map, distribute the object again
created -- 98may16, cca
-----------------------------------------------------
*/
{
char *buffer ;
DenseMtx *mtx, *mtxkeep ;
double t1, t2 ;
double pchecksums[3], schecksums[3], tchecksums[3] ;
Drand drand ;
int inc1, inc2, length, myid,
msglvl, ncol, nproc, nrow, seed, tag, type, v ;
int *map ;
int stats[4], tstats[4] ;
IV *mapIV ;
FILE *msgFile ;
/*
---------------------------------------------------------------
find out the identity of this process and the number of process
---------------------------------------------------------------
*/
/*
fprintf(stdout, "\n stdout, MPI_COMM_WORLD = %p", MPI_COMM_WORLD) ;
fflush(stdout) ;
*/
MPI_Init(&argc, &argv) ;
MPI_Comm_rank(MPI_COMM_WORLD, &myid) ;
MPI_Comm_size(MPI_COMM_WORLD, &nproc) ;
/*
fprintf(stdout, "\n process %d of %d, argc = %d", myid, nproc, argc) ;
fflush(stdout) ;
*/
if ( argc != 9 ) {
fprintf(stdout,
"\n\n usage : %s msglvl msgFile type nrow ncol inc1 inc2 seed "
"\n msglvl -- message level"
"\n msgFile -- message file"
"\n type -- type of entries"
"\n 1 -- real"
"\n 2 -- complex"
"\n nrow -- number of rows"
"\n ncol -- number of columns"
"\n inc1 -- row increment"
"\n inc2 -- column increment"
"\n seed -- random number seed"
"\n", argv[0]) ;
return(0) ;
}
msglvl = atoi(argv[1]) ;
if ( strcmp(argv[2], "stdout") == 0 ) {
msgFile = stdout ;
} else {
length = strlen(argv[2]) + 1 + 4 ;
buffer = CVinit(length, '\0') ;
sprintf(buffer, "%s.%d", argv[2], myid) ;
if ( (msgFile = fopen(buffer, "w")) == NULL ) {
fprintf(stderr, "\n fatal error in %s"
"\n unable to open file %s\n",
argv[0], argv[2]) ;
return(0) ;
}
CVfree(buffer) ;
}
type = atoi(argv[3]) ;
nrow = atoi(argv[4]) ;
ncol = atoi(argv[5]) ;
inc1 = atoi(argv[6]) ;
inc2 = atoi(argv[7]) ;
seed = atoi(argv[8]) ;
fprintf(msgFile,
"\n %s "
"\n msglvl -- %d"
"\n msgFile -- %s"
"\n type -- %d"
"\n nrow -- %d"
"\n ncol -- %d"
"\n inc1 -- %d"
"\n inc2 -- %d"
"\n seed -- %d"
"\n",
argv[0], msglvl, argv[2], type, nrow, ncol,
inc1, inc2, seed) ;
fflush(msgFile) ;
/*
-----------------------------
generate the DenseMtx object
-----------------------------
*/
mtx = DenseMtx_new() ;
fprintf(msgFile, "\n mtx = %p", mtx) ;
fflush(msgFile) ;
MARKTIME(t1) ;
if ( myid == 0 ) {
DenseMtx_init(mtx, type, 1, -1, nrow, ncol, inc1, inc2) ;
Drand_setDefaultFields(&drand) ;
Drand_setSeed(&drand, seed) ;
Drand_setUniform(&drand, 0.0, 1.0) ;
Drand_fillDvector(&drand, nrow*ncol, DenseMtx_entries(mtx)) ;
/*
------------------------------------------
compute the serial checksums of the matrix
------------------------------------------
*/
DenseMtx_checksums(mtx, schecksums) ;
} else {
if ( inc1 == 1 ) {
DenseMtx_init(mtx, type, 1, -1, 0, ncol, inc1, 0) ;
} else {
DenseMtx_init(mtx, type, 1, -1, 0, ncol, inc1, inc2) ;
}
}
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : initialize the DenseMtx object",
t2 - t1) ;
fflush(msgFile) ;
fprintf(msgFile, "\n\n DenseMtx generated") ;
if ( msglvl > 2 ) {
DenseMtx_writeForHumanEye(mtx, msgFile) ;
} else {
DenseMtx_writeStats(mtx, msgFile) ;
}
fflush(msgFile) ;
/*
------------------------------------------
set the initial owners IV to be a wrap map
------------------------------------------
*/
MARKTIME(t1) ;
mapIV = IV_new() ;
IV_init(mapIV, nrow, NULL) ;
map = IV_entries(mapIV) ;
for ( v = 0 ; v < nrow ; v++ ) {
map[v] = v % nproc ;
}
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : set wrap map", t2 - t1) ;
fflush(msgFile) ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n map") ;
IV_writeForHumanEye(mapIV, msgFile) ;
fflush(msgFile) ;
}
/*
--------------------------------------
split the DenseMtx object into pieces
--------------------------------------
*/
tag = 1 ;
stats[0] = stats[1] = stats[2] = stats[3] = 0 ;
tstats[0] = tstats[1] = tstats[2] = tstats[3] = 0 ;
MARKTIME(t1) ;
mtxkeep = DenseMtx_MPI_splitByRows(mtx, mapIV, stats, msglvl,
msgFile, tag, MPI_COMM_WORLD) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : split matrix", t2 - t1) ;
fprintf(msgFile,
"\n send stats : %d messages with %d bytes"
"\n recv stats : %d messages with %d bytes",
stats[0], stats[2], stats[1], stats[3]) ;
fflush(msgFile) ;
MPI_Reduce((void *) stats, (void *) tstats, 4, MPI_INT,
MPI_SUM, 0, MPI_COMM_WORLD) ;
if ( myid == 0 ) {
fprintf(msgFile,
"\n total send stats : %d messages with %d bytes"
"\n total recv stats : %d messages with %d bytes",
tstats[0], tstats[2], tstats[1], tstats[3]) ;
fflush(msgFile) ;
}
DenseMtx_free(mtx) ;
mtx = mtxkeep ;
tag += 2 ;
fprintf(msgFile,
"\n\n after splitting the DenseMtx object with the wrap map") ;
if ( msglvl > 2 ) {
DenseMtx_writeForHumanEye(mtx, msgFile) ;
} else {
DenseMtx_writeStats(mtx, msgFile) ;
}
fflush(msgFile) ;
/*
---------------------
generate a random map
---------------------
*/
MARKTIME(t1) ;
Drand_setDefaultFields(&drand) ;
Drand_setSeed(&drand, seed) ;
Drand_setUniform(&drand, 0.0, (double) nrow) ;
for ( v = 0 ; v < nrow ; v++ ) {
map[v] = ((int) Drand_value(&drand)) % nproc ;
}
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : generate random map", t2 - t1) ;
fflush(msgFile) ;
if ( msglvl > 2 ) {
fprintf(msgFile, "\n\n map") ;
IV_writeForHumanEye(mapIV, msgFile) ;
fflush(msgFile) ;
}
/*
----------------------------------------
now split the matrix with the random map
----------------------------------------
*/
stats[0] = stats[1] = stats[2] = stats[3] = 0 ;
tstats[0] = tstats[1] = tstats[2] = tstats[3] = 0 ;
MARKTIME(t1) ;
mtxkeep = DenseMtx_MPI_splitByRows(mtx, mapIV, stats, msglvl,
msgFile, tag, MPI_COMM_WORLD) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : split matrix ", t2 - t1) ;
fprintf(msgFile,
"\n send stats : %d messages with %d bytes"
"\n recv stats : %d messages with %d bytes",
stats[0], stats[2], stats[1], stats[3]) ;
fflush(msgFile) ;
MPI_Reduce((void *) stats, (void *) tstats, 4, MPI_INT,
MPI_SUM, 0, MPI_COMM_WORLD) ;
if ( myid == 0 ) {
fprintf(msgFile,
"\n total send stats : %d messages with %d bytes"
"\n total recv stats : %d messages with %d bytes",
tstats[0], tstats[2], tstats[1], tstats[3]) ;
fflush(msgFile) ;
}
DenseMtx_free(mtx) ;
mtx = mtxkeep ;
fprintf(msgFile,
"\n\n after splitting the DenseMtx object with the owners map") ;
if ( msglvl > 2 ) {
DenseMtx_writeForHumanEye(mtx, msgFile) ;
} else {
DenseMtx_writeStats(mtx, msgFile) ;
}
fflush(msgFile) ;
/*
-----------------------------------------------
compute the checksums of the distributed matrix
-----------------------------------------------
*/
DenseMtx_checksums(mtx, pchecksums) ;
MPI_Reduce((void *) pchecksums, (void *) tchecksums, 3, MPI_DOUBLE,
MPI_SUM, 0, MPI_COMM_WORLD) ;
if ( myid == 0 ) {
fprintf(msgFile,
"\n\n checksums for original matrix : %12.4e %12.4e"
"\n checksums for distributed matrix : %12.4e %12.4e"
"\n error in checksum : %12.4e %12.4e",
schecksums[0], schecksums[2], tchecksums[0], tchecksums[2],
tchecksums[0] - schecksums[0], tchecksums[2] - schecksums[2]) ;
}
/*
----------------
free the objects
----------------
*/
IV_free(mapIV) ;
DenseMtx_free(mtx) ;
MPI_Finalize() ;
fprintf(msgFile, "\n") ;
fclose(msgFile) ;
return(0) ; }
/*--------------------------------------------------------------------*/
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