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/* testScatterDenseMtx.c */
#include "../spoolesMPI.h"
#include "../../Drand.h"
#include "../../timings.h"
/*--------------------------------------------------------------------*/
int
main ( int argc, char *argv[] )
/*
------------------------------------------------------------------
this program tests the simple split and merge of a DenseMtx object
(1) process root generates a nrow x ncol DenseMtx object
(2) using a random map, scatter the rows into local matrices
(3) gather the local matrices into a second global matrix
and compare
created -- 98sep26, cca
------------------------------------------------------------------
*/
{
char *buffer ;
DenseMtx *X, *Y, *Z ;
double t1, t2 ;
double checksums[3], Xchecksums[3], Ychecksums[3], Zchecksums[3] ;
Drand drand ;
int inc1, inc2, length, myid, msglvl, ncol,
nproc, nrow, root, 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 != 10 ) {
fprintf(stdout,
"\n\n usage : %s msglvl msgFile type nrow ncol inc1 inc2 seed root"
"\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 root -- root processor"
"\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]) ;
root = atoi(argv[9]) ;
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 root -- %d"
"\n",
argv[0], msglvl, argv[2], type, nrow, ncol,
inc1, inc2, seed, root) ;
fflush(msgFile) ;
/*
-----------------------------
generate the DenseMtx object
-----------------------------
*/
if ( myid == root ) {
X = DenseMtx_new() ;
fprintf(msgFile, "\n X = %p", X) ;
fflush(msgFile) ;
MARKTIME(t1) ;
DenseMtx_init(X, type, 1, -1, nrow, ncol, inc1, inc2) ;
Drand_setDefaultFields(&drand) ;
Drand_setSeed(&drand, seed) ;
Drand_setUniform(&drand, 0.0, 1.0) ;
switch ( type ) {
case SPOOLES_REAL :
Drand_fillDvector(&drand, nrow*ncol, DenseMtx_entries(X)) ;
break ;
case SPOOLES_COMPLEX :
Drand_fillDvector(&drand, 2*nrow*ncol, DenseMtx_entries(X)) ;
break ;
}
/*
------------------------------------------
compute the serial checksums of the matrix
------------------------------------------
*/
DenseMtx_checksums(X, Xchecksums) ;
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(X, msgFile) ;
} else {
DenseMtx_writeStats(X, msgFile) ;
}
fflush(msgFile) ;
/*
---------------------
generate a random map
---------------------
*/
MARKTIME(t1) ;
mapIV = IV_new() ;
IV_init(mapIV, nrow, NULL) ;
map = IV_entries(mapIV) ;
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 ;
if ( map[v] == root ) {
map[v] = nproc - 1 ;
}
}
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) ;
}
} else {
X = NULL ;
mapIV = NULL ;
}
/*
------------------------------------------
now scatter 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) ;
tag = 1 ;
Y = DenseMtx_MPI_splitFromGlobalByRows(X, NULL, mapIV, root, stats,
msglvl, msgFile, tag, MPI_COMM_WORLD) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : scatter 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, root, MPI_COMM_WORLD) ;
if ( myid == root ) {
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) ;
}
if ( Y != NULL ) {
fprintf(msgFile, "\n\n local matrix") ;
if ( msglvl > 2 ) {
DenseMtx_writeForHumanEye(Y, msgFile) ;
} else {
DenseMtx_writeStats(Y, msgFile) ;
}
} else {
fprintf(msgFile, "\n\n local matrix is NULL") ;
}
fflush(msgFile) ;
/*
-----------------------------------------------
compute the checksums of the distributed matrix
-----------------------------------------------
*/
if ( Y != NULL ) {
DenseMtx_checksums(Y, checksums) ;
} else {
checksums[0] = checksums[1] = checksums[2] = 0.0 ;
}
MPI_Reduce((void *) checksums, (void *) Ychecksums, 3, MPI_DOUBLE,
MPI_SUM, root, MPI_COMM_WORLD) ;
if ( myid == root ) {
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",
Xchecksums[0], Xchecksums[2], Ychecksums[0], Ychecksums[2],
Ychecksums[0] - Xchecksums[0], Ychecksums[2] - Xchecksums[2]) ;
}
/*
-----------------------------------------------------
gather the local matrices into a second global matrix
-----------------------------------------------------
*/
MARKTIME(t1) ;
stats[0] = stats[1] = stats[2] = stats[3] = 0 ;
if ( myid == root ) {
Z = DenseMtx_new() ;
fprintf(msgFile, "\n Z = %p", Z) ;
} else {
Z = NULL ;
}
Z = DenseMtx_MPI_mergeToGlobalByRows(Z, Y, root, stats, msglvl,
msgFile, tag, MPI_COMM_WORLD) ;
fprintf(msgFile, "\n Z = %p", Z) ;
MARKTIME(t2) ;
fprintf(msgFile, "\n CPU %8.3f : merge into global 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, root, MPI_COMM_WORLD) ;
if ( myid == root ) {
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]) ;
DenseMtx_sort(Z) ;
fprintf(msgFile, "\n\n global Z matrix") ;
if ( msglvl > 2 ) {
DenseMtx_writeForHumanEye(Z, msgFile) ;
} else {
DenseMtx_writeStats(Z, msgFile) ;
}
fflush(msgFile) ;
DenseMtx_checksums(Z, Zchecksums) ;
fprintf(msgFile,
"\n\n checksums for original matrix : %12.4e %12.4e"
"\n checksums for distributed matrix : %12.4e %12.4e"
"\n checksums for global matrix : %12.4e %12.4e"
"\n X x Y error in checksum : %12.4e %12.4e"
"\n X x Z error in checksum : %12.4e %12.4e",
Xchecksums[0], Xchecksums[2],
Ychecksums[0], Ychecksums[2],
Zchecksums[0], Zchecksums[2],
Xchecksums[0] - Ychecksums[0], Xchecksums[2] - Ychecksums[2],
Xchecksums[0] - Zchecksums[0], Xchecksums[2] - Zchecksums[2]) ;
}
/*
----------------
free the objects
----------------
*/
if ( myid == root ) {
IV_free(mapIV) ;
}
if ( X != NULL ) {
DenseMtx_free(X) ;
}
if ( Y != NULL ) {
DenseMtx_free(Y) ;
}
if ( Z != NULL ) {
DenseMtx_free(Z) ;
}
MPI_Finalize() ;
fprintf(msgFile, "\n") ;
fclose(msgFile) ;
return(0) ; }
/*--------------------------------------------------------------------*/
|
