void *
hypre_ParKrylovCreateVector( void *vvector )
{
hypre_ParVector *vector = vvector;
hypre_ParVector *new_vector;
new_vector = hypre_ParVectorCreate( hypre_ParVectorComm(vector),
hypre_ParVectorGlobalSize(vector),
hypre_ParVectorPartitioning(vector) );
hypre_ParVectorSetPartitioningOwner(new_vector,0);
hypre_ParVectorInitialize(new_vector);
return ( (void *) new_vector );
}
void *
hypre_ParKrylovCreateVectorArray(HYPRE_Int n, void *vvector )
{
hypre_ParVector *vector = vvector;
hypre_ParVector **new_vector;
HYPRE_Int i;
new_vector = hypre_CTAlloc(hypre_ParVector*,n);
for (i=0; i < n; i++)
{
new_vector[i] = hypre_ParVectorCreate( hypre_ParVectorComm(vector),
hypre_ParVectorGlobalSize(vector),
hypre_ParVectorPartitioning(vector) );
hypre_ParVectorSetPartitioningOwner(new_vector[i],0);
hypre_ParVectorInitialize(new_vector[i]);
}
return ( (void *) new_vector );
}
HYPRE_Int
main( HYPRE_Int argc,
char *argv[] )
{
hypre_ParVector *vector1;
hypre_ParVector *vector2;
hypre_ParVector *tmp_vector;
HYPRE_Int num_procs, my_id;
HYPRE_Int global_size = 20;
HYPRE_Int local_size;
HYPRE_Int first_index;
HYPRE_Int num_vectors, vecstride, idxstride;
HYPRE_Int i, j;
HYPRE_Int *partitioning;
double prod;
double *data, *data2;
hypre_Vector *vector;
hypre_Vector *local_vector;
hypre_Vector *local_vector2;
/* Initialize MPI */
hypre_MPI_Init(&argc, &argv);
hypre_MPI_Comm_size(hypre_MPI_COMM_WORLD, &num_procs );
hypre_MPI_Comm_rank(hypre_MPI_COMM_WORLD, &my_id );
hypre_printf(" my_id: %d num_procs: %d\n", my_id, num_procs);
partitioning = NULL;
num_vectors = 3;
vector1 = hypre_ParMultiVectorCreate
( hypre_MPI_COMM_WORLD, global_size, partitioning, num_vectors );
partitioning = hypre_ParVectorPartitioning(vector1);
hypre_ParVectorInitialize(vector1);
local_vector = hypre_ParVectorLocalVector(vector1);
data = hypre_VectorData(local_vector);
local_size = hypre_VectorSize(local_vector);
vecstride = hypre_VectorVectorStride(local_vector);
idxstride = hypre_VectorIndexStride(local_vector);
first_index = partitioning[my_id];
hypre_printf("vecstride=%i idxstride=%i local_size=%i num_vectors=%i",
vecstride, idxstride, local_size, num_vectors );
for (j=0; j<num_vectors; ++j )
for (i=0; i < local_size; i++)
data[ j*vecstride + i*idxstride ] = first_index+i + 100*j;
hypre_ParVectorPrint(vector1, "Vector");
local_vector2 = hypre_SeqMultiVectorCreate( global_size, num_vectors );
hypre_SeqVectorInitialize(local_vector2);
data2 = hypre_VectorData(local_vector2);
vecstride = hypre_VectorVectorStride(local_vector2);
idxstride = hypre_VectorIndexStride(local_vector2);
for (j=0; j<num_vectors; ++j )
for (i=0; i < global_size; i++)
data2[ j*vecstride + i*idxstride ] = i + 100*j;
/* partitioning = hypre_CTAlloc(HYPRE_Int,4);
partitioning[0] = 0;
partitioning[1] = 10;
partitioning[2] = 10;
partitioning[3] = 20;
*/
partitioning = hypre_CTAlloc(HYPRE_Int,1+num_procs);
hypre_GeneratePartitioning( global_size, num_procs, &partitioning );
vector2 = hypre_VectorToParVector(hypre_MPI_COMM_WORLD,local_vector2,partitioning);
hypre_ParVectorSetPartitioningOwner(vector2,0);
hypre_ParVectorPrint(vector2, "Convert");
vector = hypre_ParVectorToVectorAll(vector2);
/*-----------------------------------------------------------
* Copy the vector into tmp_vector
*-----------------------------------------------------------*/
/* Read doesn't work for multivectors yet...
tmp_vector = hypre_ParVectorRead(hypre_MPI_COMM_WORLD, "Convert");*/
tmp_vector = hypre_ParMultiVectorCreate
( hypre_MPI_COMM_WORLD, global_size, partitioning, num_vectors );
hypre_ParVectorInitialize( tmp_vector );
hypre_ParVectorCopy( vector2, tmp_vector );
/*
tmp_vector = hypre_ParVectorCreate(hypre_MPI_COMM_WORLD,global_size,partitioning);
hypre_ParVectorSetPartitioningOwner(tmp_vector,0);
hypre_ParVectorInitialize(tmp_vector);
hypre_ParVectorCopy(vector1, tmp_vector);
hypre_ParVectorPrint(tmp_vector,"Copy");
*/
/*-----------------------------------------------------------
* Scale tmp_vector
*-----------------------------------------------------------*/
hypre_ParVectorScale(2.0, tmp_vector);
hypre_ParVectorPrint(tmp_vector,"Scale");
/*-----------------------------------------------------------
* Do an Axpy (2*vector - vector) = vector
*-----------------------------------------------------------*/
hypre_ParVectorAxpy(-1.0, vector1, tmp_vector);
hypre_ParVectorPrint(tmp_vector,"Axpy");
/*-----------------------------------------------------------
* Do an inner product vector* tmp_vector
*-----------------------------------------------------------*/
prod = hypre_ParVectorInnerProd(vector1, tmp_vector);
hypre_printf (" prod: %8.2f \n", prod);
/*-----------------------------------------------------------
* Finalize things
*-----------------------------------------------------------*/
hypre_ParVectorDestroy(vector1);
hypre_ParVectorDestroy(vector2);
hypre_ParVectorDestroy(tmp_vector);
hypre_SeqVectorDestroy(local_vector2);
if (vector) hypre_SeqVectorDestroy(vector);
/* Finalize MPI */
hypre_MPI_Finalize();
return 0;
}
HYPRE_Int
main( HYPRE_Int argc,
char *argv[] )
{
HYPRE_Int num_procs, myid;
HYPRE_Int verbose = 0, build_matrix_type = 1;
HYPRE_Int index, matrix_arg_index, commpkg_flag=3;
HYPRE_Int i, k, ierr=0;
HYPRE_Int row_start, row_end;
HYPRE_Int col_start, col_end, global_num_rows;
HYPRE_Int *row_part, *col_part;
char *csrfilename;
HYPRE_Int preload = 0, loop = 0, loop2 = LOOP2;
HYPRE_Int bcast_rows[2], *info;
hypre_ParCSRMatrix *parcsr_A, *small_A;
HYPRE_ParCSRMatrix A_temp, A_temp_small;
hypre_CSRMatrix *A_CSR;
hypre_ParCSRCommPkg *comm_pkg;
HYPRE_Int nx, ny, nz;
HYPRE_Int P, Q, R;
HYPRE_Int p, q, r;
HYPRE_Real values[4];
hypre_ParVector *x_new;
hypre_ParVector *y_new, *y;
HYPRE_Int *row_starts;
HYPRE_Real ans;
HYPRE_Real start_time, end_time, total_time, *loop_times;
HYPRE_Real T_avg, T_std;
HYPRE_Int noparmprint = 0;
#if mydebug
HYPRE_Int j, tmp_int;
#endif
/*-----------------------------------------------------------
* Initialize MPI
*-----------------------------------------------------------*/
hypre_MPI_Init(&argc, &argv);
hypre_MPI_Comm_size(hypre_MPI_COMM_WORLD, &num_procs );
hypre_MPI_Comm_rank(hypre_MPI_COMM_WORLD, &myid );
/*-----------------------------------------------------------
* default - is 27pt laplace
*-----------------------------------------------------------*/
build_matrix_type = 2;
matrix_arg_index = argc;
/*-----------------------------------------------------------
* Parse command line
*-----------------------------------------------------------*/
index = 1;
while ( index < argc)
{
if ( strcmp(argv[index], "-verbose") == 0 )
{
index++;
verbose = 1;
}
else if ( strcmp(argv[index], "-fromonecsrfile") == 0 )
{
index++;
build_matrix_type = 1;
matrix_arg_index = index; /*this tells where the name is*/
}
else if ( strcmp(argv[index], "-commpkg") == 0 )
{
index++;
commpkg_flag = atoi(argv[index++]);
}
else if ( strcmp(argv[index], "-laplacian") == 0 )
{
index++;
build_matrix_type = 2;
matrix_arg_index = index;
}
else if ( strcmp(argv[index], "-27pt") == 0 )
{
index++;
build_matrix_type = 4;
matrix_arg_index = index;
}
/*
else if ( strcmp(argv[index], "-nopreload") == 0 )
{
index++;
preload = 0;
}
*/
else if ( strcmp(argv[index], "-loop") == 0 )
{
index++;
loop = atoi(argv[index++]);
}
else if ( strcmp(argv[index], "-noparmprint") == 0 )
{
index++;
noparmprint = 1;
}
else
{
index++;
/*hypre_printf("Warning: Unrecogized option '%s'\n",argv[index++] );*/
}
}
/*-----------------------------------------------------------
* Setup the Matrix problem
*-----------------------------------------------------------*/
/*-----------------------------------------------------------
* Get actual partitioning-
* read in an actual csr matrix.
*-----------------------------------------------------------*/
if (build_matrix_type ==1) /*read in a csr matrix from one file */
{
if (matrix_arg_index < argc)
{
csrfilename = argv[matrix_arg_index];
}
else
{
hypre_printf("Error: No filename specified \n");
exit(1);
}
if (myid == 0)
{
/*hypre_printf(" FromFile: %s\n", csrfilename);*/
A_CSR = hypre_CSRMatrixRead(csrfilename);
}
row_part = NULL;
col_part = NULL;
parcsr_A = hypre_CSRMatrixToParCSRMatrix(hypre_MPI_COMM_WORLD, A_CSR,
row_part, col_part);
if (myid == 0) hypre_CSRMatrixDestroy(A_CSR);
}
else if (build_matrix_type ==2)
{
myBuildParLaplacian(argc, argv, matrix_arg_index, &A_temp, !noparmprint);
parcsr_A = (hypre_ParCSRMatrix *) A_temp;
}
else if (build_matrix_type ==4)
{
myBuildParLaplacian27pt(argc, argv, matrix_arg_index, &A_temp, !noparmprint);
parcsr_A = (hypre_ParCSRMatrix *) A_temp;
}
/*-----------------------------------------------------------
* create a small problem so that timings are more accurate -
* code gets run twice (small laplace)
*-----------------------------------------------------------*/
/*this is no longer being used - preload = 0 is set at the beginning */
if (preload == 1)
{
/*hypre_printf("preload!\n");*/
values[1] = -1;
values[2] = -1;
values[3] = -1;
values[0] = - 6.0 ;
nx = 2;
ny = num_procs;
nz = 2;
P = 1;
Q = num_procs;
R = 1;
p = myid % P;
q = (( myid - p)/P) % Q;
r = ( myid - p - P*q)/( P*Q );
A_temp_small = (HYPRE_ParCSRMatrix) GenerateLaplacian(hypre_MPI_COMM_WORLD, nx, ny, nz,
P, Q, R, p, q, r, values);
small_A = (hypre_ParCSRMatrix *) A_temp_small;
/*do comm packages*/
hypre_NewCommPkgCreate(small_A);
hypre_NewCommPkgDestroy(small_A);
hypre_MatvecCommPkgCreate(small_A);
hypre_ParCSRMatrixDestroy(small_A);
}
/*-----------------------------------------------------------
* Prepare for timing
*-----------------------------------------------------------*/
/* instead of preloading, let's not time the first one if more than one*/
if (!loop)
{
loop = 1;
/* and don't do any timings */
}
else
{
loop +=1;
if (loop < 2) loop = 2;
}
loop_times = hypre_CTAlloc(HYPRE_Real, loop);
/******************************************************************************************/
hypre_MPI_Barrier(hypre_MPI_COMM_WORLD);
if (commpkg_flag == 1 || commpkg_flag ==3 )
{
/*-----------------------------------------------------------
* Create new comm package
*-----------------------------------------------------------*/
if (!myid) hypre_printf("********************************************************\n" );
/*do loop times*/
for (i=0; i< loop; i++)
{
loop_times[i] = 0.0;
for (k=0; k< loop2; k++)
{
hypre_MPI_Barrier(hypre_MPI_COMM_WORLD);
start_time = hypre_MPI_Wtime();
#if mpip_on
if (i==(loop-1)) hypre_MPI_Pcontrol(1);
#endif
hypre_NewCommPkgCreate(parcsr_A);
#if mpip_on
if (i==(loop-1)) hypre_MPI_Pcontrol(0);
#endif
end_time = hypre_MPI_Wtime();
end_time = end_time - start_time;
hypre_MPI_Allreduce(&end_time, &total_time, 1,
HYPRE_MPI_REAL, hypre_MPI_MAX, hypre_MPI_COMM_WORLD);
loop_times[i] += total_time;
if ( !((i+1)== loop && (k+1) == loop2)) hypre_NewCommPkgDestroy(parcsr_A);
}/*end of loop2 */
} /*end of loop*/
/* calculate the avg and std. */
if (loop > 1)
{
/* calculate the avg and std. */
stats_mo(loop_times, loop, &T_avg, &T_std);
if (!myid) hypre_printf(" NewCommPkgCreate: AVG. wall clock time = %f seconds\n", T_avg);
if (!myid) hypre_printf(" STD. for %d runs = %f\n", loop-1, T_std);
if (!myid) hypre_printf(" (Note: avg./std. timings exclude run 0.)\n");
if (!myid) hypre_printf("********************************************************\n" );
for (i=0; i< loop; i++)
{
if (!myid) hypre_printf(" run %d = %f sec.\n", i, loop_times[i]);
}
if (!myid) hypre_printf("********************************************************\n" );
}
else
{
if (!myid) hypre_printf("********************************************************\n" );
if (!myid) hypre_printf(" NewCommPkgCreate:\n");
if (!myid) hypre_printf(" run time = %f sec.\n", loop_times[0]);
if (!myid) hypre_printf("********************************************************\n" );
}
/*-----------------------------------------------------------
* Verbose printing
*-----------------------------------------------------------*/
/*some verification*/
global_num_rows = hypre_ParCSRMatrixGlobalNumRows(parcsr_A);
if (verbose)
{
ierr = hypre_ParCSRMatrixGetLocalRange( parcsr_A,
&row_start, &row_end ,
&col_start, &col_end );
comm_pkg = hypre_ParCSRMatrixCommPkg(parcsr_A);
hypre_printf("myid = %i, my ACTUAL local range: [%i, %i]\n", myid,
row_start, row_end);
ierr = hypre_GetAssumedPartitionRowRange( myid, global_num_rows, &row_start,
&row_end);
hypre_printf("myid = %i, my assumed local range: [%i, %i]\n", myid,
row_start, row_end);
hypre_printf("myid = %d, num_recvs = %d\n", myid,
hypre_ParCSRCommPkgNumRecvs(comm_pkg) );
#if mydebug
for (i=0; i < hypre_ParCSRCommPkgNumRecvs(comm_pkg); i++)
{
hypre_printf("myid = %d, recv proc = %d, vec_starts = [%d : %d]\n",
myid, hypre_ParCSRCommPkgRecvProcs(comm_pkg)[i],
hypre_ParCSRCommPkgRecvVecStarts(comm_pkg)[i],
hypre_ParCSRCommPkgRecvVecStarts(comm_pkg)[i+1]-1);
}
#endif
hypre_printf("myid = %d, num_sends = %d\n", myid,
hypre_ParCSRCommPkgNumSends(comm_pkg) );
#if mydebug
for (i=0; i <hypre_ParCSRCommPkgNumSends(comm_pkg) ; i++)
{
tmp_int = hypre_ParCSRCommPkgSendMapStarts(comm_pkg)[i+1] -
hypre_ParCSRCommPkgSendMapStarts(comm_pkg)[i];
index = hypre_ParCSRCommPkgSendMapStarts(comm_pkg)[i];
for (j=0; j< tmp_int; j++)
{
hypre_printf("myid = %d, send proc = %d, send element = %d\n",myid,
hypre_ParCSRCommPkgSendProcs(comm_pkg)[i],
hypre_ParCSRCommPkgSendMapElmts(comm_pkg)[index+j]);
}
}
#endif
}
/*-----------------------------------------------------------
* To verify correctness (if commpkg_flag = 3)
*-----------------------------------------------------------*/
if (commpkg_flag == 3 )
{
/*do a matvec - we are assuming a square matrix */
row_starts = hypre_ParCSRMatrixRowStarts(parcsr_A);
x_new = hypre_ParVectorCreate(hypre_MPI_COMM_WORLD, global_num_rows, row_starts);
hypre_ParVectorSetPartitioningOwner(x_new, 0);
hypre_ParVectorInitialize(x_new);
hypre_ParVectorSetRandomValues(x_new, 1);
y_new = hypre_ParVectorCreate(hypre_MPI_COMM_WORLD, global_num_rows, row_starts);
hypre_ParVectorSetPartitioningOwner(y_new, 0);
hypre_ParVectorInitialize(y_new);
hypre_ParVectorSetConstantValues(y_new, 0.0);
/*y = 1.0*A*x+1.0*y */
hypre_ParCSRMatrixMatvec (1.0, parcsr_A, x_new, 1.0, y_new);
}
/*-----------------------------------------------------------
* Clean up after MyComm
*-----------------------------------------------------------*/
hypre_NewCommPkgDestroy(parcsr_A);
}
/******************************************************************************************/
/******************************************************************************************/
hypre_MPI_Barrier(hypre_MPI_COMM_WORLD);
if (commpkg_flag > 1 )
{
/*-----------------------------------------------------------
* Set up standard comm package
*-----------------------------------------------------------*/
bcast_rows[0] = 23;
bcast_rows[1] = 1789;
if (!myid) hypre_printf("********************************************************\n" );
/*do loop times*/
for (i=0; i< loop; i++)
{
loop_times[i] = 0.0;
for (k=0; k< loop2; k++)
{
hypre_MPI_Barrier(hypre_MPI_COMM_WORLD);
start_time = hypre_MPI_Wtime();
#if time_gather
info = hypre_CTAlloc(HYPRE_Int, num_procs);
hypre_MPI_Allgather(bcast_rows, 1, HYPRE_MPI_INT, info, 1, HYPRE_MPI_INT, hypre_MPI_COMM_WORLD);
#endif
hypre_MatvecCommPkgCreate(parcsr_A);
end_time = hypre_MPI_Wtime();
end_time = end_time - start_time;
hypre_MPI_Allreduce(&end_time, &total_time, 1,
HYPRE_MPI_REAL, hypre_MPI_MAX, hypre_MPI_COMM_WORLD);
loop_times[i] += total_time;
if ( !((i+1)== loop && (k+1) == loop2)) hypre_MatvecCommPkgDestroy(hypre_ParCSRMatrixCommPkg(parcsr_A));
}/* end of loop 2*/
} /*end of loop*/
/* calculate the avg and std. */
if (loop > 1)
{
stats_mo(loop_times, loop, &T_avg, &T_std);
if (!myid) hypre_printf("Current CommPkgCreate: AVG. wall clock time = %f seconds\n", T_avg);
if (!myid) hypre_printf(" STD. for %d runs = %f\n", loop-1, T_std);
if (!myid) hypre_printf(" (Note: avg./std. timings exclude run 0.)\n");
if (!myid) hypre_printf("********************************************************\n" );
for (i=0; i< loop; i++)
{
if (!myid) hypre_printf(" run %d = %f sec.\n", i, loop_times[i]);
}
if (!myid) hypre_printf("********************************************************\n" );
}
else
{
if (!myid) hypre_printf("********************************************************\n" );
if (!myid) hypre_printf(" Current CommPkgCreate:\n");
if (!myid) hypre_printf(" run time = %f sec.\n", loop_times[0]);
if (!myid) hypre_printf("********************************************************\n" );
}
/*-----------------------------------------------------------
* Verbose printing
*-----------------------------------------------------------*/
/*some verification*/
if (verbose)
{
ierr = hypre_ParCSRMatrixGetLocalRange( parcsr_A,
&row_start, &row_end ,
&col_start, &col_end );
comm_pkg = hypre_ParCSRMatrixCommPkg(parcsr_A);
hypre_printf("myid = %i, std - my local range: [%i, %i]\n", myid,
row_start, row_end);
ierr = hypre_ParCSRMatrixGetLocalRange( parcsr_A,
&row_start, &row_end ,
&col_start, &col_end );
hypre_printf("myid = %d, std - num_recvs = %d\n", myid,
hypre_ParCSRCommPkgNumRecvs(comm_pkg) );
#if mydebug
for (i=0; i < hypre_ParCSRCommPkgNumRecvs(comm_pkg); i++)
{
hypre_printf("myid = %d, std - recv proc = %d, vec_starts = [%d : %d]\n",
myid, hypre_ParCSRCommPkgRecvProcs(comm_pkg)[i],
hypre_ParCSRCommPkgRecvVecStarts(comm_pkg)[i],
hypre_ParCSRCommPkgRecvVecStarts(comm_pkg)[i+1]-1);
}
#endif
hypre_printf("myid = %d, std - num_sends = %d\n", myid,
hypre_ParCSRCommPkgNumSends(comm_pkg));
#if mydebug
for (i=0; i <hypre_ParCSRCommPkgNumSends(comm_pkg) ; i++)
{
tmp_int = hypre_ParCSRCommPkgSendMapStarts(comm_pkg)[i+1] -
hypre_ParCSRCommPkgSendMapStarts(comm_pkg)[i];
index = hypre_ParCSRCommPkgSendMapStarts(comm_pkg)[i];
for (j=0; j< tmp_int; j++)
{
hypre_printf("myid = %d, std - send proc = %d, send element = %d\n",myid,
hypre_ParCSRCommPkgSendProcs(comm_pkg)[i],
hypre_ParCSRCommPkgSendMapElmts(comm_pkg)[index+j]);
}
}
#endif
}
/*-----------------------------------------------------------
* Verify correctness
*-----------------------------------------------------------*/
if (commpkg_flag == 3 )
{
global_num_rows = hypre_ParCSRMatrixGlobalNumRows(parcsr_A);
row_starts = hypre_ParCSRMatrixRowStarts(parcsr_A);
y = hypre_ParVectorCreate(hypre_MPI_COMM_WORLD, global_num_rows,row_starts);
hypre_ParVectorSetPartitioningOwner(y, 0);
hypre_ParVectorInitialize(y);
hypre_ParVectorSetConstantValues(y, 0.0);
hypre_ParCSRMatrixMatvec (1.0, parcsr_A, x_new, 1.0, y);
}
}
/*-----------------------------------------------------------
* Compare matvecs for both comm packages (3)
*-----------------------------------------------------------*/
if (commpkg_flag == 3 )
{
/*make sure that y and y_new are the same - now y_new should=0*/
hypre_ParVectorAxpy( -1.0, y, y_new );
hypre_ParVectorSetRandomValues(y, 1);
ans = hypre_ParVectorInnerProd( y, y_new );
if (!myid)
{
if ( fabs(ans) > 1e-8 )
{
hypre_printf("!!!!! WARNING !!!!! should be zero if correct = %6.10f\n",
ans);
}
else
{
hypre_printf("Matvecs match ( should be zero = %6.10f )\n",
ans);
}
}
}
/*-----------------------------------------------------------
* Clean up
*-----------------------------------------------------------*/
hypre_ParCSRMatrixDestroy(parcsr_A); /*this calls the standard comm
package destroy - but we'll destroy
ours separately until it is
incorporated */
if (commpkg_flag == 3 )
{
hypre_ParVectorDestroy(x_new);
hypre_ParVectorDestroy(y);
hypre_ParVectorDestroy(y_new);
}
hypre_MPI_Finalize();
return(ierr);
}
HYPRE_Int main( HYPRE_Int argc, char *argv[] )
{
hypre_ParCSRMatrix *par_matrix, *g_matrix, **submatrices;
hypre_CSRMatrix *A_diag, *A_offd;
hypre_CSRBlockMatrix *diag;
hypre_CSRBlockMatrix *offd;
hypre_ParCSRBlockMatrix *par_blk_matrix, *par_blk_matrixT, *rap_matrix;
hypre_Vector *x_local;
hypre_Vector *y_local;
hypre_ParVector *x;
hypre_ParVector *y;
HYPRE_Solver gmres_solver, precon;
HYPRE_Int *diag_i, *diag_j, *offd_i, *offd_j;
HYPRE_Int *diag_i2, *diag_j2, *offd_i2, *offd_j2;
double *diag_d, *diag_d2, *offd_d, *offd_d2;
HYPRE_Int mypid, local_size, nprocs;
HYPRE_Int global_num_rows, global_num_cols, num_cols_offd;
HYPRE_Int num_nonzeros_diag, num_nonzeros_offd, *colMap;
HYPRE_Int ii, jj, kk, row, col, nnz, *indices, *colMap2;
double *data, ddata, *y_data;
HYPRE_Int *row_starts, *col_starts, *rstarts, *cstarts;
HYPRE_Int *row_starts2, *col_starts2;
HYPRE_Int block_size=2, bnnz=4, *index_set;
FILE *fp;
/* --------------------------------------------- */
/* Initialize MPI */
/* --------------------------------------------- */
hypre_MPI_Init(&argc, &argv);
hypre_MPI_Comm_rank(hypre_MPI_COMM_WORLD, &mypid);
hypre_MPI_Comm_size(hypre_MPI_COMM_WORLD, &nprocs);
/* build and fetch matrix */
MyBuildParLaplacian9pt((HYPRE_ParCSRMatrix *) &par_matrix);
global_num_rows = hypre_ParCSRMatrixGlobalNumRows(par_matrix);
global_num_cols = hypre_ParCSRMatrixGlobalNumCols(par_matrix);
row_starts = hypre_ParCSRMatrixRowStarts(par_matrix);
col_starts = hypre_ParCSRMatrixColStarts(par_matrix);
A_diag = hypre_ParCSRMatrixDiag(par_matrix);
A_offd = hypre_ParCSRMatrixOffd(par_matrix);
num_cols_offd = hypre_CSRMatrixNumCols(A_offd);
num_nonzeros_diag = hypre_CSRMatrixNumNonzeros(A_diag);
num_nonzeros_offd = hypre_CSRMatrixNumNonzeros(A_offd);
/* --------------------------------------------- */
/* build vector and apply matvec */
/* --------------------------------------------- */
x = hypre_ParVectorCreate(hypre_MPI_COMM_WORLD,global_num_cols,col_starts);
hypre_ParVectorSetPartitioningOwner(x,0);
hypre_ParVectorInitialize(x);
x_local = hypre_ParVectorLocalVector(x);
data = hypre_VectorData(x_local);
local_size = col_starts[mypid+1] - col_starts[mypid];
for (ii = 0; ii < local_size; ii++) data[ii] = 1.0;
y = hypre_ParVectorCreate(hypre_MPI_COMM_WORLD,global_num_rows,row_starts);
hypre_ParVectorSetPartitioningOwner(y,0);
hypre_ParVectorInitialize(y);
hypre_ParCSRMatrixMatvec (1.0, par_matrix, x, 0.0, y);
ddata = hypre_ParVectorInnerProd(y, y);
if (mypid == 0) hypre_printf("y inner product = %e\n", ddata);
hypre_ParVectorDestroy(x);
hypre_ParVectorDestroy(y);
/* --------------------------------------------- */
/* build block matrix */
/* --------------------------------------------- */
rstarts = hypre_CTAlloc(HYPRE_Int, nprocs+1);
for (ii = 0; ii <= nprocs; ii++) rstarts[ii] = row_starts[ii];
cstarts = hypre_CTAlloc(HYPRE_Int, nprocs+1);
for (ii = 0; ii <= nprocs; ii++) cstarts[ii] = col_starts[ii];
par_blk_matrix = hypre_ParCSRBlockMatrixCreate(hypre_MPI_COMM_WORLD,block_size,
global_num_rows, global_num_cols, rstarts,
cstarts, num_cols_offd, num_nonzeros_diag,
num_nonzeros_offd);
colMap = hypre_ParCSRMatrixColMapOffd(par_matrix);
if (num_cols_offd > 0) colMap2 = hypre_CTAlloc(HYPRE_Int, num_cols_offd);
else colMap2 = NULL;
for (ii = 0; ii < num_cols_offd; ii++) colMap2[ii] = colMap[ii];
hypre_ParCSRBlockMatrixColMapOffd(par_blk_matrix) = colMap2;
diag_i = hypre_CSRMatrixI(hypre_ParCSRMatrixDiag(par_matrix));
diag_j = hypre_CSRMatrixJ(hypre_ParCSRMatrixDiag(par_matrix));
diag_d = hypre_CSRMatrixData(hypre_ParCSRMatrixDiag(par_matrix));
diag = hypre_ParCSRBlockMatrixDiag(par_blk_matrix);
diag_i2 = hypre_CTAlloc(HYPRE_Int, local_size+1);
diag_j2 = hypre_CTAlloc(HYPRE_Int, num_nonzeros_diag);
diag_d2 = hypre_CTAlloc(double, num_nonzeros_diag*bnnz);
for (ii = 0; ii <= local_size; ii++) diag_i2[ii] = diag_i[ii];
for (ii = 0; ii < num_nonzeros_diag; ii++) diag_j2[ii] = diag_j[ii];
hypre_CSRBlockMatrixI(diag) = diag_i2;
hypre_CSRBlockMatrixJ(diag) = diag_j2;
for (ii = 0; ii < num_nonzeros_diag; ii++)
{
for (jj = 0; jj < block_size; jj++)
for (kk = 0; kk < block_size; kk++)
{
if (jj <= kk)
diag_d2[ii*bnnz+jj*block_size+kk] = diag_d[ii];
else
diag_d2[ii*bnnz+jj*block_size+kk] = 0.0;
}
}
hypre_CSRBlockMatrixData(diag) = diag_d2;
offd_i = hypre_CSRMatrixI(hypre_ParCSRMatrixOffd(par_matrix));
offd_j = hypre_CSRMatrixJ(hypre_ParCSRMatrixOffd(par_matrix));
offd_d = hypre_CSRMatrixData(hypre_ParCSRMatrixOffd(par_matrix));
offd = hypre_ParCSRBlockMatrixOffd(par_blk_matrix);
offd_i2 = hypre_CTAlloc(HYPRE_Int, local_size+1);
for (ii = 0; ii <= local_size; ii++) offd_i2[ii] = offd_i[ii];
hypre_CSRBlockMatrixI(offd) = offd_i2;
if (num_cols_offd)
{
offd_j2 = hypre_CTAlloc(HYPRE_Int, num_nonzeros_offd);
for (ii = 0; ii < num_nonzeros_offd; ii++) offd_j2[ii] = offd_j[ii];
hypre_CSRBlockMatrixJ(offd) = offd_j2;
offd_d2 = hypre_CTAlloc(double, num_nonzeros_offd*bnnz);
for (ii = 0; ii < num_nonzeros_offd; ii++)
{
for (jj = 0; jj < block_size; jj++)
for (kk = 0; kk < block_size; kk++)
{
if (jj <= kk)
offd_d2[ii*bnnz+jj*block_size+kk] = offd_d[ii];
else
offd_d2[ii*bnnz+jj*block_size+kk] = 0.0;
}
}
hypre_CSRBlockMatrixData(offd) = offd_d2;
}
else
{
HYPRE_Int
hypre_SchwarzSetup(void *schwarz_vdata,
hypre_ParCSRMatrix *A,
hypre_ParVector *f,
hypre_ParVector *u )
{
hypre_SchwarzData *schwarz_data = schwarz_vdata;
HYPRE_Int *dof_func;
double *scale;
hypre_CSRMatrix *domain_structure;
hypre_CSRMatrix *A_boundary;
hypre_ParVector *Vtemp;
HYPRE_Int *pivots = NULL;
HYPRE_Int variant = hypre_SchwarzDataVariant(schwarz_data);
HYPRE_Int domain_type = hypre_SchwarzDataDomainType(schwarz_data);
HYPRE_Int overlap = hypre_SchwarzDataOverlap(schwarz_data);
HYPRE_Int num_functions = hypre_SchwarzDataNumFunctions(schwarz_data);
double relax_weight = hypre_SchwarzDataRelaxWeight(schwarz_data);
HYPRE_Int use_nonsymm = hypre_SchwarzDataUseNonSymm(schwarz_data);
dof_func = hypre_SchwarzDataDofFunc(schwarz_data);
Vtemp = hypre_ParVectorCreate(hypre_ParCSRMatrixComm(A),
hypre_ParCSRMatrixGlobalNumRows(A),
hypre_ParCSRMatrixRowStarts(A));
hypre_ParVectorSetPartitioningOwner(Vtemp,0);
hypre_ParVectorInitialize(Vtemp);
hypre_SchwarzDataVtemp(schwarz_data) = Vtemp;
if (variant > 1)
{
hypre_ParAMGCreateDomainDof(A,
domain_type, overlap,
num_functions, dof_func,
&domain_structure, &pivots, use_nonsymm);
if (variant == 2)
{
hypre_ParGenerateScale(A, domain_structure, relax_weight,
&scale);
hypre_SchwarzDataScale(schwarz_data) = scale;
}
else
{
hypre_ParGenerateHybridScale(A, domain_structure, &A_boundary, &scale);
hypre_SchwarzDataScale(schwarz_data) = scale;
if (hypre_CSRMatrixNumCols(hypre_ParCSRMatrixOffd(A)))
hypre_SchwarzDataABoundary(schwarz_data) = A_boundary;
else
hypre_SchwarzDataABoundary(schwarz_data) = NULL;
}
}
else
{
hypre_AMGCreateDomainDof (hypre_ParCSRMatrixDiag(A),
domain_type, overlap,
num_functions, dof_func,
&domain_structure, &pivots, use_nonsymm);
if (variant == 1)
{
hypre_GenerateScale(domain_structure,
hypre_CSRMatrixNumRows(hypre_ParCSRMatrixDiag(A)),
relax_weight, &scale);
hypre_SchwarzDataScale(schwarz_data) = scale;
}
}
hypre_SchwarzDataDomainStructure(schwarz_data) = domain_structure;
hypre_SchwarzDataPivots(schwarz_data) = pivots;
return hypre_error_flag;
}
HYPRE_Int
hypre_MaxwellSolve2( void * maxwell_vdata,
hypre_SStructMatrix * A_in,
hypre_SStructVector * f,
hypre_SStructVector * u )
{
hypre_MaxwellData *maxwell_data = maxwell_vdata;
hypre_ParVector *f_edge;
hypre_ParVector *u_edge;
HYPRE_Int max_iter = maxwell_data-> max_iter;
double tol = maxwell_data-> tol;
HYPRE_Int rel_change = maxwell_data-> rel_change;
HYPRE_Int zero_guess = maxwell_data-> zero_guess;
HYPRE_Int npre_relax = maxwell_data-> num_pre_relax;
HYPRE_Int npost_relax = maxwell_data-> num_post_relax;
hypre_ParCSRMatrix **Ann_l = maxwell_data-> Ann_l;
hypre_ParCSRMatrix **Pn_l = maxwell_data-> Pn_l;
hypre_ParCSRMatrix **RnT_l = maxwell_data-> RnT_l;
hypre_ParVector **bn_l = maxwell_data-> bn_l;
hypre_ParVector **xn_l = maxwell_data-> xn_l;
hypre_ParVector **resn_l = maxwell_data-> resn_l;
hypre_ParVector **en_l = maxwell_data-> en_l;
hypre_ParVector **nVtemp2_l = maxwell_data-> nVtemp2_l;
HYPRE_Int **nCF_marker_l = maxwell_data-> nCF_marker_l;
double *nrelax_weight= maxwell_data-> nrelax_weight;
double *nomega = maxwell_data-> nomega;
HYPRE_Int nrelax_type = maxwell_data-> nrelax_type;
HYPRE_Int node_numlevs = maxwell_data-> node_numlevels;
hypre_ParCSRMatrix *Tgrad = maxwell_data-> Tgrad;
hypre_ParCSRMatrix *T_transpose = maxwell_data-> T_transpose;
hypre_ParCSRMatrix **Aee_l = maxwell_data-> Aee_l;
hypre_IJMatrix **Pe_l = maxwell_data-> Pe_l;
hypre_IJMatrix **ReT_l = maxwell_data-> ReT_l;
hypre_ParVector **be_l = maxwell_data-> be_l;
hypre_ParVector **xe_l = maxwell_data-> xe_l;
hypre_ParVector **rese_l = maxwell_data-> rese_l;
hypre_ParVector **ee_l = maxwell_data-> ee_l;
hypre_ParVector **eVtemp2_l = maxwell_data-> eVtemp2_l;
HYPRE_Int **eCF_marker_l = maxwell_data-> eCF_marker_l;
double *erelax_weight= maxwell_data-> erelax_weight;
double *eomega = maxwell_data-> eomega;
HYPRE_Int erelax_type = maxwell_data-> erelax_type;
HYPRE_Int edge_numlevs = maxwell_data-> edge_numlevels;
HYPRE_Int **BdryRanks_l = maxwell_data-> BdryRanks_l;
HYPRE_Int *BdryRanksCnts_l= maxwell_data-> BdryRanksCnts_l;
HYPRE_Int logging = maxwell_data-> logging;
double *norms = maxwell_data-> norms;
double *rel_norms = maxwell_data-> rel_norms;
HYPRE_Int Solve_err_flag;
HYPRE_Int relax_local, cycle_param;
double b_dot_b = 0, r_dot_r, eps = 0;
double e_dot_e, x_dot_x;
HYPRE_Int i, j;
HYPRE_Int level;
HYPRE_Int ierr= 0;
/* added for the relaxation routines */
hypre_ParVector *ze = NULL;
if (hypre_NumThreads() > 1)
{
/* Aee is always bigger than Ann */
ze = hypre_ParVectorCreate(hypre_ParCSRMatrixComm(Aee_l[0]),
hypre_ParCSRMatrixGlobalNumRows(Aee_l[0]),
hypre_ParCSRMatrixRowStarts(Aee_l[0]));
hypre_ParVectorInitialize(ze);
hypre_ParVectorSetPartitioningOwner(ze,0);
}
hypre_BeginTiming(maxwell_data-> time_index);
hypre_SStructVectorConvert(f, &f_edge);
hypre_SStructVectorConvert(u, &u_edge);
hypre_ParVectorZeroBCValues(f_edge, BdryRanks_l[0], BdryRanksCnts_l[0]);
hypre_ParVectorZeroBCValues(u_edge, BdryRanks_l[0], BdryRanksCnts_l[0]);
be_l[0]= f_edge;
xe_l[0]= u_edge;
/* the nodal fine vectors: xn= 0. bn= T'*(be- Aee*xe) is updated in the cycle. */
hypre_ParVectorSetConstantValues(xn_l[0], 0.0);
relax_local= 0;
cycle_param= 0;
(maxwell_data-> num_iterations) = 0;
/* if max_iter is zero, return */
if (max_iter == 0)
{
/* if using a zero initial guess, return zero */
if (zero_guess)
{
hypre_ParVectorSetConstantValues(xe_l[0], 0.0);
}
hypre_EndTiming(maxwell_data -> time_index);
return ierr;
}
/* part of convergence check */
if (tol > 0.0)
{
/* eps = (tol^2) */
b_dot_b= hypre_ParVectorInnerProd(be_l[0], be_l[0]);
eps = tol*tol;
/* if rhs is zero, return a zero solution */
if (b_dot_b == 0.0)
{
hypre_ParVectorSetConstantValues(xe_l[0], 0.0);
if (logging > 0)
{
norms[0] = 0.0;
rel_norms[0] = 0.0;
}
hypre_EndTiming(maxwell_data -> time_index);
return ierr;
}
}
/*-----------------------------------------------------
* Do V-cycles:
* For each index l, "fine" = l, "coarse" = (l-1)
*
* solution update:
* edge_sol= edge_sol + T*node_sol
*-----------------------------------------------------*/
for (i = 0; i < max_iter; i++)
{
/* compute fine grid residual & nodal rhs. */
hypre_ParVectorCopy(be_l[0], rese_l[0]);
hypre_ParCSRMatrixMatvec(-1.0, Aee_l[0], xe_l[0], 1.0, rese_l[0]);
hypre_ParVectorZeroBCValues(rese_l[0], BdryRanks_l[0], BdryRanksCnts_l[0]);
hypre_ParCSRMatrixMatvec(1.0, T_transpose, rese_l[0], 0.0, bn_l[0]);
/* convergence check */
if (tol > 0.0)
{
r_dot_r= hypre_ParVectorInnerProd(rese_l[0], rese_l[0]);
if (logging > 0)
{
norms[i] = sqrt(r_dot_r);
if (b_dot_b > 0)
rel_norms[i] = sqrt(r_dot_r/b_dot_b);
else
rel_norms[i] = 0.0;
}
/* always do at least 1 V-cycle */
if ((r_dot_r/b_dot_b < eps) && (i > 0))
{
if (rel_change)
{
if ((e_dot_e/x_dot_x) < eps)
break;
}
else
{
break;
}
}
}
hypre_ParVectorCopy(bn_l[0], resn_l[0]);
hypre_ParCSRMatrixMatvec(-1.0, Ann_l[0], xn_l[0], 1.0, resn_l[0]);
r_dot_r= hypre_ParVectorInnerProd(resn_l[0], resn_l[0]);
for (level= 0; level<= node_numlevs-2; level++)
{
/*-----------------------------------------------
* Down cycle
*-----------------------------------------------*/
for (j= 0; j< npre_relax; j++)
{
Solve_err_flag = hypre_BoomerAMGRelaxIF(Ann_l[level],
bn_l[level],
nCF_marker_l[level],
nrelax_type,
relax_local,
cycle_param,
nrelax_weight[level],
nomega[level],
NULL,
xn_l[level],
nVtemp2_l[level],
ze);
} /*for (j= 0; j< npre_relax; j++) */
/* compute residuals */
hypre_ParVectorCopy(bn_l[level], resn_l[level]);
hypre_ParCSRMatrixMatvec(-1.0, Ann_l[level], xn_l[level],
1.0, resn_l[level]);
/* restrict residuals */
hypre_ParCSRMatrixMatvecT(1.0, RnT_l[level], resn_l[level],
0.0, bn_l[level+1]);
/* zero off initial guess for the next level */
hypre_ParVectorSetConstantValues(xn_l[level+1], 0.0);
} /* for (level= 0; level<= node_numlevs-2; level++) */
/* coarsest node solve */
level= node_numlevs-1;
Solve_err_flag = hypre_BoomerAMGRelaxIF(Ann_l[level],
bn_l[level],
nCF_marker_l[level],
nrelax_type,
relax_local,
cycle_param,
nrelax_weight[level],
nomega[level],
NULL,
xn_l[level],
nVtemp2_l[level],
ze);
/*---------------------------------------------------------------------
* Cycle up the levels.
*---------------------------------------------------------------------*/
for (level= (node_numlevs - 2); level>= 1; level--)
{
hypre_ParCSRMatrixMatvec(1.0, Pn_l[level], xn_l[level+1], 0.0,
en_l[level]);
hypre_ParVectorAxpy(1.0, en_l[level], xn_l[level]);
/* post smooth */
for (j= 0; j< npost_relax; j++)
{
Solve_err_flag = hypre_BoomerAMGRelaxIF(Ann_l[level],
bn_l[level],
nCF_marker_l[level],
nrelax_type,
relax_local,
cycle_param,
nrelax_weight[level],
nomega[level],
NULL,
xn_l[level],
nVtemp2_l[level],
ze);
}
} /* for (level= (en_numlevs - 2); level>= 1; level--) */
/* interpolate error and correct on finest grids */
hypre_ParCSRMatrixMatvec(1.0, Pn_l[0], xn_l[1], 0.0, en_l[0]);
hypre_ParVectorAxpy(1.0, en_l[0], xn_l[0]);
for (j= 0; j< npost_relax; j++)
{
Solve_err_flag = hypre_BoomerAMGRelaxIF(Ann_l[0],
bn_l[0],
nCF_marker_l[0],
nrelax_type,
relax_local,
cycle_param,
nrelax_weight[0],
nomega[0],
NULL,
xn_l[0],
nVtemp2_l[0],
ze);
} /* for (j= 0; j< npost_relax; j++) */
hypre_ParVectorCopy(bn_l[0], resn_l[0]);
hypre_ParCSRMatrixMatvec(-1.0, Ann_l[0], xn_l[0], 1.0, resn_l[0]);
/* add the gradient solution component to xe_l[0] */
hypre_ParCSRMatrixMatvec(1.0, Tgrad, xn_l[0], 1.0, xe_l[0]);
hypre_ParVectorCopy(be_l[0], rese_l[0]);
hypre_ParCSRMatrixMatvec(-1.0, Aee_l[0], xe_l[0], 1.0, rese_l[0]);
r_dot_r= hypre_ParVectorInnerProd(rese_l[0], rese_l[0]);
for (level= 0; level<= edge_numlevs-2; level++)
{
/*-----------------------------------------------
* Down cycle
*-----------------------------------------------*/
for (j= 0; j< npre_relax; j++)
{
Solve_err_flag = hypre_BoomerAMGRelaxIF(Aee_l[level],
be_l[level],
eCF_marker_l[level],
erelax_type,
relax_local,
cycle_param,
erelax_weight[level],
eomega[level],
NULL,
xe_l[level],
eVtemp2_l[level],
ze);
} /*for (j= 0; j< npre_relax; j++) */
/* compute residuals */
hypre_ParVectorCopy(be_l[level], rese_l[level]);
hypre_ParCSRMatrixMatvec(-1.0, Aee_l[level], xe_l[level],
1.0, rese_l[level]);
/* restrict residuals */
hypre_ParCSRMatrixMatvecT(1.0,
(hypre_ParCSRMatrix *) hypre_IJMatrixObject(ReT_l[level]),
rese_l[level], 0.0, be_l[level+1]);
hypre_ParVectorZeroBCValues(be_l[level+1], BdryRanks_l[level+1],
BdryRanksCnts_l[level+1]);
/* zero off initial guess for the next level */
hypre_ParVectorSetConstantValues(xe_l[level+1], 0.0);
} /* for (level= 1; level<= edge_numlevels-2; level++) */
/* coarsest edge solve */
level= edge_numlevs-1;
for (j= 0; j< npre_relax; j++)
{
Solve_err_flag = hypre_BoomerAMGRelaxIF(Aee_l[level],
be_l[level],
eCF_marker_l[level],
erelax_type,
relax_local,
cycle_param,
erelax_weight[level],
eomega[level],
NULL,
xe_l[level],
eVtemp2_l[level],
ze);
}
/*---------------------------------------------------------------------
* Up cycle.
*---------------------------------------------------------------------*/
for (level= (edge_numlevs - 2); level>= 1; level--)
{
hypre_ParCSRMatrixMatvec(1.0,
(hypre_ParCSRMatrix *) hypre_IJMatrixObject(Pe_l[level]),
xe_l[level+1], 0.0, ee_l[level]);
hypre_ParVectorZeroBCValues(ee_l[level], BdryRanks_l[level],
BdryRanksCnts_l[level]);
hypre_ParVectorAxpy(1.0, ee_l[level], xe_l[level]);
/* post smooth */
for (j= 0; j< npost_relax; j++)
{
Solve_err_flag = hypre_BoomerAMGRelaxIF(Aee_l[level],
be_l[level],
eCF_marker_l[level],
erelax_type,
relax_local,
cycle_param,
erelax_weight[level],
eomega[level],
NULL,
xe_l[level],
eVtemp2_l[level],
ze);
}
} /* for (level= (edge_numlevs - 2); level>= 1; level--) */
/* interpolate error and correct on finest grids */
hypre_ParCSRMatrixMatvec(1.0,
(hypre_ParCSRMatrix *) hypre_IJMatrixObject(Pe_l[0]),
xe_l[1], 0.0, ee_l[0]);
hypre_ParVectorZeroBCValues(ee_l[0], BdryRanks_l[0],
BdryRanksCnts_l[0]);
hypre_ParVectorAxpy(1.0, ee_l[0], xe_l[0]);
for (j= 0; j< npost_relax; j++)
{
Solve_err_flag = hypre_BoomerAMGRelaxIF(Aee_l[0],
be_l[0],
eCF_marker_l[0],
erelax_type,
relax_local,
cycle_param,
erelax_weight[0],
eomega[0],
NULL,
xe_l[0],
eVtemp2_l[0],
ze);
} /* for (j= 0; j< npost_relax; j++) */
e_dot_e= hypre_ParVectorInnerProd(ee_l[0], ee_l[0]);
x_dot_x= hypre_ParVectorInnerProd(xe_l[0], xe_l[0]);
hypre_ParVectorCopy(be_l[0], rese_l[0]);
hypre_ParCSRMatrixMatvec(-1.0, Aee_l[0], xe_l[0], 1.0, rese_l[0]);
(maxwell_data -> num_iterations) = (i + 1);
}
hypre_EndTiming(maxwell_data -> time_index);
if (ze)
hypre_ParVectorDestroy(ze);
return ierr;
}
hypre_ParMultiVector *
hypre_ParMultiVectorTempRead(MPI_Comm comm, const char *fileName)
/* ***** temporary implementation ****** */
{
HYPRE_Int i, n, id;
double * dest;
double * src;
HYPRE_Int count;
HYPRE_Int retcode;
char temp_string[128];
hypre_ParMultiVector * x;
hypre_ParVector * temp_vec;
/* calculate the number of files */
hypre_MPI_Comm_rank( comm, &id );
n = 0;
do {
hypre_sprintf( temp_string, "test -f %s.%d.%d", fileName, n, id );
if (!(retcode=system(temp_string))) /* zero retcode mean file exists */
n++;
} while (!retcode);
if ( n == 0 ) return NULL;
/* now read the first vector using hypre_ParVectorRead into temp_vec */
hypre_sprintf(temp_string,"%s.%d",fileName,0);
temp_vec = hypre_ParVectorRead(comm, temp_string);
/* this vector WON'T own partitioning */
hypre_ParVectorSetPartitioningOwner(temp_vec,0);
/* now create multivector using temp_vec as a sample */
x = hypre_ParMultiVectorCreate(hypre_ParVectorComm(temp_vec),
hypre_ParVectorGlobalSize(temp_vec),hypre_ParVectorPartitioning(temp_vec),n);
/* this vector WILL own the partitioning */
hypre_ParMultiVectorSetPartitioningOwner(x,1);
hypre_ParMultiVectorInitialize(x);
/* read data from first and all other vectors into "x" */
i = 0;
do {
/* copy data from current vector */
dest = x->local_vector->data + i*(x->local_vector->size);
src = temp_vec->local_vector->data;
count = temp_vec->local_vector->size;
memcpy(dest,src, count*sizeof(double));
/* destroy current vector */
hypre_ParVectorDestroy(temp_vec);
/* read the data to new current vector, if there are more vectors to read */
if (i<n-1)
{
hypre_sprintf(temp_string,"%s.%d",fileName,i+1);
temp_vec = hypre_ParVectorRead(comm, temp_string);
}
} while (++i<n);
return x;
}
HYPRE_Int
main( HYPRE_Int argc,
char *argv[] )
{
hypre_ParVector *vector1;
hypre_ParVector *vector2;
hypre_ParVector *tmp_vector;
HYPRE_Int num_procs, my_id;
HYPRE_Int global_size = 20;
HYPRE_Int local_size;
HYPRE_Int first_index;
HYPRE_Int i;
HYPRE_Int *partitioning;
HYPRE_Complex prod;
HYPRE_Complex *data, *data2;
hypre_Vector *vector;
hypre_Vector *local_vector;
hypre_Vector *local_vector2;
/* Initialize MPI */
hypre_MPI_Init(&argc, &argv);
hypre_MPI_Comm_size(hypre_MPI_COMM_WORLD, &num_procs );
hypre_MPI_Comm_rank(hypre_MPI_COMM_WORLD, &my_id );
hypre_printf(" my_id: %d num_procs: %d\n", my_id, num_procs);
partitioning = NULL;
vector1 = hypre_ParVectorCreate(hypre_MPI_COMM_WORLD,global_size,partitioning);
partitioning = hypre_ParVectorPartitioning(vector1);
hypre_ParVectorInitialize(vector1);
local_vector = hypre_ParVectorLocalVector(vector1);
data = hypre_VectorData(local_vector);
local_size = hypre_VectorSize(local_vector);
first_index = partitioning[my_id];
for (i=0; i < local_size; i++)
data[i] = first_index+i;
/*
hypre_ParVectorPrint(vector1, "Vector");
*/
local_vector2 = hypre_SeqVectorCreate(global_size);
hypre_SeqVectorInitialize(local_vector2);
data2 = hypre_VectorData(local_vector2);
for (i=0; i < global_size; i++)
data2[i] = i+1;
/* partitioning = hypre_CTAlloc(HYPRE_Int,4);
partitioning[0] = 0;
partitioning[1] = 10;
partitioning[2] = 10;
partitioning[3] = 20;
*/
vector2 = hypre_VectorToParVector(hypre_MPI_COMM_WORLD,local_vector2,partitioning);
hypre_ParVectorSetPartitioningOwner(vector2,0);
hypre_ParVectorPrint(vector2, "Convert");
vector = hypre_ParVectorToVectorAll(vector2);
/*-----------------------------------------------------------
* Copy the vector into tmp_vector
*-----------------------------------------------------------*/
tmp_vector = hypre_ParVectorRead(hypre_MPI_COMM_WORLD, "Convert");
/*
tmp_vector = hypre_ParVectorCreate(hypre_MPI_COMM_WORLD,global_size,partitioning);
hypre_ParVectorSetPartitioningOwner(tmp_vector,0);
hypre_ParVectorInitialize(tmp_vector);
hypre_ParVectorCopy(vector1, tmp_vector);
hypre_ParVectorPrint(tmp_vector,"Copy");
*/
/*-----------------------------------------------------------
* Scale tmp_vector
*-----------------------------------------------------------*/
hypre_ParVectorScale(2.0, tmp_vector);
/*
hypre_ParVectorPrint(tmp_vector,"Scale");
*/
/*-----------------------------------------------------------
* Do an Axpy (2*vector - vector) = vector
*-----------------------------------------------------------*/
hypre_ParVectorAxpy(-1.0, vector1, tmp_vector);
/*
hypre_ParVectorPrint(tmp_vector,"Axpy");
*/
/*-----------------------------------------------------------
* Do an inner product vector* tmp_vector
*-----------------------------------------------------------*/
prod = hypre_ParVectorInnerProd(vector1, tmp_vector);
hypre_printf (" prod: %8.2f \n", prod);
/*-----------------------------------------------------------
* Finalize things
*-----------------------------------------------------------*/
hypre_ParVectorDestroy(vector1);
hypre_ParVectorDestroy(vector2);
hypre_ParVectorDestroy(tmp_vector);
hypre_SeqVectorDestroy(local_vector2);
if (vector) hypre_SeqVectorDestroy(vector);
/* Finalize MPI */
hypre_MPI_Finalize();
return 0;
}
HYPRE_Int
main( HYPRE_Int argc,
char *argv[] )
{
hypre_CSRMatrix *matrix;
hypre_CSRMatrix *matrix1;
hypre_ParCSRMatrix *par_matrix;
hypre_Vector *x_local;
hypre_Vector *y_local;
hypre_Vector *y2_local;
hypre_ParVector *x;
hypre_ParVector *x2;
hypre_ParVector *y;
hypre_ParVector *y2;
HYPRE_Int vecstride_x, idxstride_x, vecstride_y, idxstride_y;
HYPRE_Int num_procs, my_id;
HYPRE_Int local_size;
HYPRE_Int num_vectors;
HYPRE_Int global_num_rows, global_num_cols;
HYPRE_Int first_index;
HYPRE_Int i, j, ierr=0;
double *data, *data2;
HYPRE_Int *row_starts, *col_starts;
char file_name[80];
/* Initialize MPI */
hypre_MPI_Init(&argc, &argv);
hypre_MPI_Comm_size(hypre_MPI_COMM_WORLD, &num_procs);
hypre_MPI_Comm_rank(hypre_MPI_COMM_WORLD, &my_id);
hypre_printf(" my_id: %d num_procs: %d\n", my_id, num_procs);
if (my_id == 0)
{
matrix = hypre_CSRMatrixRead("input");
hypre_printf(" read input\n");
}
row_starts = NULL;
col_starts = NULL;
par_matrix = hypre_CSRMatrixToParCSRMatrix(hypre_MPI_COMM_WORLD, matrix,
row_starts, col_starts);
hypre_printf(" converted\n");
matrix1 = hypre_ParCSRMatrixToCSRMatrixAll(par_matrix);
hypre_sprintf(file_name,"matrix1.%d",my_id);
if (matrix1) hypre_CSRMatrixPrint(matrix1, file_name);
hypre_ParCSRMatrixPrint(par_matrix,"matrix");
hypre_ParCSRMatrixPrintIJ(par_matrix,0,0,"matrixIJ");
par_matrix = hypre_ParCSRMatrixRead(hypre_MPI_COMM_WORLD,"matrix");
global_num_cols = hypre_ParCSRMatrixGlobalNumCols(par_matrix);
hypre_printf(" global_num_cols %d\n", global_num_cols);
global_num_rows = hypre_ParCSRMatrixGlobalNumRows(par_matrix);
col_starts = hypre_ParCSRMatrixColStarts(par_matrix);
first_index = col_starts[my_id];
local_size = col_starts[my_id+1] - first_index;
num_vectors = 3;
x = hypre_ParMultiVectorCreate( hypre_MPI_COMM_WORLD, global_num_cols,
col_starts, num_vectors );
hypre_ParVectorSetPartitioningOwner(x,0);
hypre_ParVectorInitialize(x);
x_local = hypre_ParVectorLocalVector(x);
data = hypre_VectorData(x_local);
vecstride_x = hypre_VectorVectorStride(x_local);
idxstride_x = hypre_VectorIndexStride(x_local);
for ( j=0; j<num_vectors; ++j )
for (i=0; i < local_size; i++)
data[i*idxstride_x + j*vecstride_x] = first_index+i+1 + 100*j;
x2 = hypre_ParMultiVectorCreate( hypre_MPI_COMM_WORLD, global_num_cols,
col_starts, num_vectors );
hypre_ParVectorSetPartitioningOwner(x2,0);
hypre_ParVectorInitialize(x2);
hypre_ParVectorSetConstantValues(x2,2.0);
row_starts = hypre_ParCSRMatrixRowStarts(par_matrix);
first_index = row_starts[my_id];
local_size = row_starts[my_id+1] - first_index;
y = hypre_ParMultiVectorCreate( hypre_MPI_COMM_WORLD, global_num_rows,
row_starts, num_vectors );
hypre_ParVectorSetPartitioningOwner(y,0);
hypre_ParVectorInitialize(y);
y_local = hypre_ParVectorLocalVector(y);
y2 = hypre_ParMultiVectorCreate( hypre_MPI_COMM_WORLD, global_num_rows,
row_starts, num_vectors );
hypre_ParVectorSetPartitioningOwner(y2,0);
hypre_ParVectorInitialize(y2);
y2_local = hypre_ParVectorLocalVector(y2);
data2 = hypre_VectorData(y2_local);
vecstride_y = hypre_VectorVectorStride(y2_local);
idxstride_y = hypre_VectorIndexStride(y2_local);
for ( j=0; j<num_vectors; ++j )
for (i=0; i < local_size; i++)
data2[i*idxstride_y+j*vecstride_y] = first_index+i+1 + 100*j;
hypre_ParVectorSetConstantValues(y,1.0);
hypre_printf(" initialized vectors, first_index=%i\n", first_index);
hypre_ParVectorPrint(x, "vectorx");
hypre_ParVectorPrint(y, "vectory");
hypre_MatvecCommPkgCreate(par_matrix);
hypre_ParCSRMatrixMatvec ( 1.0, par_matrix, x, 1.0, y);
hypre_printf(" did matvec\n");
hypre_ParVectorPrint(y, "result");
ierr = hypre_ParCSRMatrixMatvecT ( 1.0, par_matrix, y2, 1.0, x2);
hypre_printf(" did matvecT %d\n", ierr);
hypre_ParVectorPrint(x2, "transp");
hypre_ParCSRMatrixDestroy(par_matrix);
hypre_ParVectorDestroy(x);
hypre_ParVectorDestroy(x2);
hypre_ParVectorDestroy(y);
hypre_ParVectorDestroy(y2);
if (my_id == 0) hypre_CSRMatrixDestroy(matrix);
if (matrix1) hypre_CSRMatrixDestroy(matrix1);
/* Finalize MPI */
hypre_MPI_Finalize();
return 0;
}
