int32_t
impl_bHYPRE_IJParCSRMatrix_Assemble(
/* in */ bHYPRE_IJParCSRMatrix self,
/* out */ sidl_BaseInterface *_ex)
{
*_ex = 0;
{
/* DO-NOT-DELETE splicer.begin(bHYPRE.IJParCSRMatrix.Assemble) */
/* Insert the implementation of the Assemble method here... */
int ierr=0;
struct bHYPRE_IJParCSRMatrix__data * data;
HYPRE_IJMatrix ij_A;
data = bHYPRE_IJParCSRMatrix__get_data( self );
ij_A = data -> ij_A;
ierr = HYPRE_IJMatrixAssemble( ij_A );
return( ierr );
/* DO-NOT-DELETE splicer.end(bHYPRE.IJParCSRMatrix.Assemble) */
}
}
/**
Builds an IJMatrix from a distributed matrix by pulling rows out of the
distributed_matrix and putting them into the IJMatrix. This routine does not
effect the distributed matrix. In essence, it makes a copy of the input matrix
in another format. NOTE: because this routine makes a copy and is not just
a simple conversion, it is memory-expensive and should only be used in
low-memory requirement situations (such as unit-testing code).
*/
HYPRE_Int
HYPRE_BuildIJMatrixFromDistributedMatrix(
HYPRE_DistributedMatrix DistributedMatrix,
HYPRE_IJMatrix *ij_matrix,
HYPRE_Int local_storage_type )
{
HYPRE_Int ierr;
MPI_Comm comm;
HYPRE_Int M, N;
HYPRE_Int first_local_row, last_local_row;
HYPRE_Int first_local_col, last_local_col;
HYPRE_Int i;
HYPRE_Int size, *col_ind;
double *values;
if (!DistributedMatrix) return(-1);
comm = HYPRE_DistributedMatrixGetContext( DistributedMatrix );
ierr = HYPRE_DistributedMatrixGetDims( DistributedMatrix, &M, &N );
ierr = HYPRE_DistributedMatrixGetLocalRange( DistributedMatrix,
&first_local_row, &last_local_row ,
&first_local_col, &last_local_col );
ierr = HYPRE_IJMatrixCreate( comm, first_local_row, last_local_row,
first_local_col, last_local_col,
ij_matrix );
ierr = HYPRE_IJMatrixSetLocalStorageType(
*ij_matrix, local_storage_type );
/* if(ierr) return(ierr); */
ierr = HYPRE_IJMatrixSetLocalSize( *ij_matrix,
last_local_row-first_local_row+1,
last_local_col-first_local_col+1 );
ierr = HYPRE_IJMatrixInitialize( *ij_matrix );
/* if(ierr) return(ierr);*/
/* Loop through all locally stored rows and insert them into ij_matrix */
for (i=first_local_row; i<= last_local_row; i++)
{
ierr = HYPRE_DistributedMatrixGetRow( DistributedMatrix, i, &size, &col_ind, &values );
/* if( ierr ) return(ierr);*/
ierr = HYPRE_IJMatrixInsertRow( *ij_matrix, size, i, col_ind, values );
/* if( ierr ) return(ierr);*/
ierr = HYPRE_DistributedMatrixRestoreRow( DistributedMatrix, i, &size, &col_ind, &values );
/* if( ierr ) return(ierr); */
}
ierr = HYPRE_IJMatrixAssemble( *ij_matrix );
/* if(ierr) return(ierr); */
return(ierr);
}
HYPRE_Int
hypre_ParaSailsBuildIJMatrix(hypre_ParaSails obj, HYPRE_IJMatrix *pij_A)
{
hypre_ParaSails_struct *internal = (hypre_ParaSails_struct *) obj;
ParaSails *ps = internal->ps;
Matrix *mat = internal->ps->M;
HYPRE_Int *diag_sizes, *offdiag_sizes, local_row, i, j;
HYPRE_Int size;
HYPRE_Int *col_inds;
HYPRE_Real *values;
HYPRE_IJMatrixCreate( ps->comm, ps->beg_row, ps->end_row,
ps->beg_row, ps->end_row,
pij_A );
HYPRE_IJMatrixSetObjectType( *pij_A, HYPRE_PARCSR );
diag_sizes = hypre_CTAlloc(HYPRE_Int, ps->end_row - ps->beg_row + 1);
offdiag_sizes = hypre_CTAlloc(HYPRE_Int, ps->end_row - ps->beg_row + 1);
local_row = 0;
for (i=ps->beg_row; i<= ps->end_row; i++)
{
MatrixGetRow(mat, local_row, &size, &col_inds, &values);
NumberingLocalToGlobal(ps->numb, size, col_inds, col_inds);
for (j=0; j < size; j++)
{
if (col_inds[j] < ps->beg_row || col_inds[j] > ps->end_row)
offdiag_sizes[local_row]++;
else
diag_sizes[local_row]++;
}
local_row++;
}
HYPRE_IJMatrixSetDiagOffdSizes( *pij_A, (const HYPRE_Int *) diag_sizes,
(const HYPRE_Int *) offdiag_sizes );
hypre_TFree(diag_sizes);
hypre_TFree(offdiag_sizes);
HYPRE_IJMatrixInitialize( *pij_A );
local_row = 0;
for (i=ps->beg_row; i<= ps->end_row; i++)
{
MatrixGetRow(mat, local_row, &size, &col_inds, &values);
HYPRE_IJMatrixSetValues( *pij_A, 1, &size, &i, (const HYPRE_Int *) col_inds,
(const HYPRE_Real *) values );
NumberingGlobalToLocal(ps->numb, size, col_inds, col_inds);
local_row++;
}
HYPRE_IJMatrixAssemble( *pij_A );
return hypre_error_flag;
}
void HypreSolver2D::build_A()
{
HYPRE_IJMatrixCreate(MPI_COMM_WORLD, ilower, iupper, ilower, iupper, &A);
HYPRE_IJMatrixSetObjectType(A, HYPRE_PARCSR);
HYPRE_IJMatrixInitialize(A);
int nnz;
double values[5];
int cols[5];
for(int i=ilower; i<=iupper; i++)
{
nnz = 0;
// North
if ((i-N1)>=0)
{
cols[nnz] = i-N1;
values[nnz] = -1.0;
nnz++;
}
// Left
if (i%N1)
{
cols[nnz] = i-1;
values[nnz] = -1.0;
nnz++;
}
// Center
cols[nnz] = i;
values[nnz] = 4.0;
nnz++;
// Right
if ((i+1)%N1)
{
cols[nnz] = i+1;
values[nnz] = -1.0;
nnz++;
}
// South
if ((i+N1)<N)
{
cols[nnz] = i+N1;
values[nnz] = -1.0;
nnz++;
}
HYPRE_IJMatrixSetValues(A, 1, &nnz, &i, cols, values);
}
HYPRE_IJMatrixAssemble(A);
HYPRE_IJMatrixGetObject(A, (void**) &parcsr_A);
}
HYPRE_Int
HYPRE_IJMatrixRead( const char *filename,
MPI_Comm comm,
HYPRE_Int type,
HYPRE_IJMatrix *matrix_ptr )
{
HYPRE_IJMatrix matrix;
HYPRE_Int ilower, iupper, jlower, jupper;
HYPRE_Int ncols, I, J;
HYPRE_Complex value;
HYPRE_Int myid, ret;
char new_filename[255];
FILE *file;
hypre_MPI_Comm_rank(comm, &myid);
hypre_sprintf(new_filename,"%s.%05d", filename, myid);
if ((file = fopen(new_filename, "r")) == NULL)
{
hypre_error_in_arg(1);
return hypre_error_flag;
}
hypre_fscanf(file, "%d %d %d %d", &ilower, &iupper, &jlower, &jupper);
HYPRE_IJMatrixCreate(comm, ilower, iupper, jlower, jupper, &matrix);
HYPRE_IJMatrixSetObjectType(matrix, type);
HYPRE_IJMatrixInitialize(matrix);
/* It is important to ensure that whitespace follows the index value to help
* catch mistakes in the input file. See comments in IJVectorRead(). */
ncols = 1;
while ( (ret = hypre_fscanf(file, "%d %d%*[ \t]%le", &I, &J, &value)) != EOF )
{
if (ret != 3)
{
hypre_error_w_msg(HYPRE_ERROR_GENERIC, "Error in IJ matrix input file.");
return hypre_error_flag;
}
if (I < ilower || I > iupper)
HYPRE_IJMatrixAddToValues(matrix, 1, &ncols, &I, &J, &value);
else
HYPRE_IJMatrixSetValues(matrix, 1, &ncols, &I, &J, &value);
}
HYPRE_IJMatrixAssemble(matrix);
fclose(file);
*matrix_ptr = matrix;
return hypre_error_flag;
}
static void
setup_hypre_mat(MAT *A, HYPRE_IJMatrix *pa)
{
MAT_ROW *row;
INT i, j, d, I, n0, n, *cols;
assert(sizeof(INT) == sizeof(int) && sizeof(FLOAT)==sizeof(double));
phgMatUnpack(A);
HYPRE_IJMatrixCreate(A->rmap->comm,
A->rmap->partition[A->rmap->rank],
A->rmap->partition[A->rmap->rank + 1] - 1,
A->cmap->partition[A->cmap->rank],
A->cmap->partition[A->cmap->rank + 1] - 1,
pa);
HYPRE_IJMatrixSetObjectType(*pa, HYPRE_PARCSR);
HYPRE_IJMatrixInitialize(*pa);
I = A->rmap->partition[A->rmap->rank];
n0 = A->cmap->partition[A->cmap->rank];
n = 0;
cols = NULL;
for (i = 0, row = A->rows; i < A->rmap->nlocal; i++, row++, I++) {
if (row->ncols > 0) {
if (n < row->ncols) {
phgFree(cols);
cols = phgAlloc((n = row->ncols) * sizeof(*cols));
}
for (j = 0; j < row->ncols; j++) {
if ((d = row->cols[j]) < A->cmap->nlocal)
cols[j] = d + n0;
else
cols[j] = A->O2Gmap[d - A->cmap->nlocal];
}
HYPRE_IJMatrixSetValues(*pa, 1, &row->ncols, &I, cols, row->data);
}
}
phgFree(cols);
HYPRE_IJMatrixAssemble(*pa);
}
inline void numfact(unsigned int ncol, int* I, int* loc2glob, int* J, K* C) {
static_assert(std::is_same<double, K>::value, "Hypre only supports double-precision floating-point real numbers");
static_assert(S == 'G', "Hypre only supports nonsymmetric matrices");
HYPRE_IJMatrixCreate(DMatrix::_communicator, loc2glob[0], loc2glob[1], loc2glob[0], loc2glob[1], &_A);
HYPRE_IJMatrixSetObjectType(_A, HYPRE_PARCSR);
HYPRE_IJMatrixSetRowSizes(_A, I + 1);
_local = ncol;
int* rows = new int[3 * _local]();
int* diag_sizes = rows + _local;
int* offdiag_sizes = diag_sizes + _local;
rows[0] = I[0];
for(unsigned int i = 0; i < _local; ++i) {
std::for_each(J + rows[0], J + rows[0] + I[i + 1], [&](int& j) { (j < loc2glob[0] || loc2glob[1] < j) ? ++offdiag_sizes[i] : ++diag_sizes[i]; });
rows[0] += I[i + 1];
}
HYPRE_IJMatrixSetDiagOffdSizes(_A, diag_sizes, offdiag_sizes);
HYPRE_IJMatrixSetMaxOffProcElmts(_A, 0);
HYPRE_IJMatrixInitialize(_A);
std::iota(rows, rows + _local, loc2glob[0]);
HYPRE_IJMatrixSetValues(_A, _local, I + 1, rows, J, C);
HYPRE_IJMatrixAssemble(_A);
HYPRE_IJVectorCreate(DMatrix::_communicator, loc2glob[0], loc2glob[1], &_b);
HYPRE_IJVectorSetObjectType(_b, HYPRE_PARCSR);
HYPRE_IJVectorInitialize(_b);
HYPRE_IJVectorCreate(DMatrix::_communicator, loc2glob[0], loc2glob[1], &_x);
HYPRE_IJVectorSetObjectType(_x, HYPRE_PARCSR);
HYPRE_IJVectorInitialize(_x);
delete [] rows;
delete [] I;
delete [] loc2glob;
HYPRE_BoomerAMGCreate(_strategy == 1 ? &_solver : &_precond);
HYPRE_BoomerAMGSetCoarsenType(_strategy == 1 ? _solver : _precond, 6); /* Falgout coarsening */
HYPRE_BoomerAMGSetRelaxType(_strategy == 1 ? _solver : _precond, 6); /* G-S/Jacobi hybrid relaxation */
HYPRE_BoomerAMGSetNumSweeps(_strategy == 1 ? _solver : _precond, 1); /* sweeps on each level */
HYPRE_BoomerAMGSetMaxLevels(_strategy == 1 ? _solver : _precond, 10); /* maximum number of levels */
HYPRE_ParCSRMatrix parcsr_A;
HYPRE_IJMatrixGetObject(_A, reinterpret_cast<void**>(&parcsr_A));
HYPRE_ParVector par_b;
HYPRE_IJVectorGetObject(_b, reinterpret_cast<void**>(&par_b));
HYPRE_ParVector par_x;
HYPRE_IJVectorGetObject(_x, reinterpret_cast<void**>(&par_x));
if(_strategy == 1) {
HYPRE_BoomerAMGSetTol(_solver, 1.0e-8);
HYPRE_BoomerAMGSetMaxIter(_solver, 1000);
HYPRE_BoomerAMGSetPrintLevel(_solver, 1);
HYPRE_BoomerAMGSetup(_solver, parcsr_A, nullptr, nullptr);
}
else {
HYPRE_BoomerAMGSetTol(_precond, 0.0);
HYPRE_BoomerAMGSetMaxIter(_precond, 1);
HYPRE_BoomerAMGSetPrintLevel(_precond, 1);
if(_strategy == 2) {
HYPRE_ParCSRPCGCreate(DMatrix::_communicator, &_solver);
HYPRE_PCGSetMaxIter(_solver, 500);
HYPRE_PCGSetTol(_solver, 1.0e-8);
HYPRE_PCGSetTwoNorm(_solver, 1);
HYPRE_PCGSetPrintLevel(_solver, 1);
HYPRE_PCGSetLogging(_solver, 1);
HYPRE_PCGSetPrecond(_solver, reinterpret_cast<HYPRE_PtrToSolverFcn>(HYPRE_BoomerAMGSolve), reinterpret_cast<HYPRE_PtrToSolverFcn>(HYPRE_BoomerAMGSetup), _precond);
HYPRE_ParCSRPCGSetup(_solver, parcsr_A, par_b, par_x);
}
else {
HYPRE_ParCSRFlexGMRESCreate(DMatrix::_communicator, &_solver);
HYPRE_FlexGMRESSetKDim(_solver, 50);
HYPRE_FlexGMRESSetMaxIter(_solver, 500);
HYPRE_FlexGMRESSetTol(_solver, 1.0e-8);
HYPRE_FlexGMRESSetPrintLevel(_solver, 1);
HYPRE_FlexGMRESSetLogging(_solver, 1);
HYPRE_FlexGMRESSetPrecond(_solver, reinterpret_cast<HYPRE_PtrToSolverFcn>(HYPRE_BoomerAMGSolve), reinterpret_cast<HYPRE_PtrToSolverFcn>(HYPRE_BoomerAMGSetup), _precond);
HYPRE_ParCSRFlexGMRESSetup(_solver, parcsr_A, par_b, par_x);
}
}
}
int main (int argc, char *argv[])
{
HYPRE_Int i;
int myid, num_procs;
int N, n;
HYPRE_Int ilower, iupper;
HYPRE_Int local_size, extra;
int solver_id;
int print_solution, print_system;
double h, h2;
HYPRE_IJMatrix A;
HYPRE_ParCSRMatrix parcsr_A;
HYPRE_IJVector b;
HYPRE_ParVector par_b;
HYPRE_IJVector x;
HYPRE_ParVector par_x;
HYPRE_Solver solver, precond;
/* Initialize MPI */
MPI_Init(&argc, &argv);
MPI_Comm_rank(MPI_COMM_WORLD, &myid);
MPI_Comm_size(MPI_COMM_WORLD, &num_procs);
/* Default problem parameters */
n = 33;
solver_id = 0;
print_solution = 0;
print_system = 0;
/* Parse command line */
{
int arg_index = 0;
int print_usage = 0;
while (arg_index < argc)
{
if ( strcmp(argv[arg_index], "-n") == 0 )
{
arg_index++;
n = atoi(argv[arg_index++]);
}
else if ( strcmp(argv[arg_index], "-solver") == 0 )
{
arg_index++;
solver_id = atoi(argv[arg_index++]);
}
else if ( strcmp(argv[arg_index], "-print_solution") == 0 )
{
arg_index++;
print_solution = 1;
}
else if ( strcmp(argv[arg_index], "-print_system") == 0 )
{
arg_index++;
print_system = 1;
}
else if ( strcmp(argv[arg_index], "-help") == 0 )
{
print_usage = 1;
break;
}
else
{
arg_index++;
}
}
if ((print_usage) && (myid == 0))
{
printf("\n");
printf("Usage: %s [<options>]\n", argv[0]);
printf("\n");
printf(" -n <n> : problem size in each direction (default: 33)\n");
printf(" -solver <ID> : solver ID\n");
printf(" 0 - AMG (default) \n");
printf(" 1 - AMG-PCG\n");
printf(" 8 - ParaSails-PCG\n");
printf(" 50 - PCG\n");
printf(" 61 - AMG-FlexGMRES\n");
printf(" -print_solution : print the solution vector\n");
printf(" -print_system : print the matrix and rhs\n");
printf("\n");
}
if (print_usage)
{
MPI_Finalize();
return (0);
}
}
/* Preliminaries: want at least one processor per row */
if (n*n < num_procs) n = sqrt(num_procs) + 1;
N = n*n; /* global number of rows */
h = 1.0/(n+1); /* mesh size*/
h2 = h*h;
/* Each processor knows only of its own rows - the range is denoted by ilower
and upper. Here we partition the rows. We account for the fact that
N may not divide evenly by the number of processors. */
local_size = N/num_procs;
extra = N - local_size*num_procs;
ilower = local_size*myid;
ilower += hypre_min(myid, extra);
iupper = local_size*(myid+1);
iupper += hypre_min(myid+1, extra);
iupper = iupper - 1;
/* How many rows do I have? */
local_size = iupper - ilower + 1;
/* Create the matrix.
Note that this is a square matrix, so we indicate the row partition
size twice (since number of rows = number of cols) */
HYPRE_IJMatrixCreate(MPI_COMM_WORLD, ilower, iupper, ilower, iupper, &A);
/* Choose a parallel csr format storage (see the User's Manual) */
HYPRE_IJMatrixSetObjectType(A, HYPRE_PARCSR);
/* Initialize before setting coefficients */
HYPRE_IJMatrixInitialize(A);
/* Now go through my local rows and set the matrix entries.
Each row has at most 5 entries. For example, if n=3:
A = [M -I 0; -I M -I; 0 -I M]
M = [4 -1 0; -1 4 -1; 0 -1 4]
Note that here we are setting one row at a time, though
one could set all the rows together (see the User's Manual).
*/
{
HYPRE_Int nnz;
double values[5];
HYPRE_Int cols[5];
for (i = ilower; i <= iupper; i++)
{
nnz = 0;
/* The left identity block:position i-n */
if ((i-n)>=0)
{
cols[nnz] = i-n;
values[nnz] = -1.0;
nnz++;
}
/* The left -1: position i-1 */
if (i%n)
{
cols[nnz] = i-1;
values[nnz] = -1.0;
nnz++;
}
/* Set the diagonal: position i */
cols[nnz] = i;
values[nnz] = 4.0;
nnz++;
/* The right -1: position i+1 */
if ((i+1)%n)
{
cols[nnz] = i+1;
values[nnz] = -1.0;
nnz++;
}
/* The right identity block:position i+n */
if ((i+n)< N)
{
cols[nnz] = i+n;
values[nnz] = -1.0;
nnz++;
}
/* Set the values for row i */
HYPRE_IJMatrixSetValues(A, 1, &nnz, &i, cols, values);
}
}
/* Assemble after setting the coefficients */
HYPRE_IJMatrixAssemble(A);
/* Note: for the testing of small problems, one may wish to read
in a matrix in IJ format (for the format, see the output files
from the -print_system option).
In this case, one would use the following routine:
HYPRE_IJMatrixRead( <filename>, MPI_COMM_WORLD,
HYPRE_PARCSR, &A );
<filename> = IJ.A.out to read in what has been printed out
by -print_system (processor numbers are omitted).
A call to HYPRE_IJMatrixRead is an *alternative* to the
following sequence of HYPRE_IJMatrix calls:
Create, SetObjectType, Initialize, SetValues, and Assemble
*/
/* Get the parcsr matrix object to use */
HYPRE_IJMatrixGetObject(A, (void**) &parcsr_A);
/* Create the rhs and solution */
HYPRE_IJVectorCreate(MPI_COMM_WORLD, ilower, iupper,&b);
HYPRE_IJVectorSetObjectType(b, HYPRE_PARCSR);
HYPRE_IJVectorInitialize(b);
HYPRE_IJVectorCreate(MPI_COMM_WORLD, ilower, iupper,&x);
HYPRE_IJVectorSetObjectType(x, HYPRE_PARCSR);
HYPRE_IJVectorInitialize(x);
/* Set the rhs values to h^2 and the solution to zero */
{
double *rhs_values, *x_values;
HYPRE_Int *rows;
rhs_values = calloc(local_size, sizeof(double));
x_values = calloc(local_size, sizeof(double));
rows = calloc(local_size, sizeof(HYPRE_Int));
for (i=0; i<local_size; i++)
{
rhs_values[i] = h2;
x_values[i] = 0.0;
rows[i] = ilower + i;
}
HYPRE_IJVectorSetValues(b, local_size, rows, rhs_values);
HYPRE_IJVectorSetValues(x, local_size, rows, x_values);
free(x_values);
free(rhs_values);
free(rows);
}
HYPRE_IJVectorAssemble(b);
/* As with the matrix, for testing purposes, one may wish to read in a rhs:
HYPRE_IJVectorRead( <filename>, MPI_COMM_WORLD,
HYPRE_PARCSR, &b );
as an alternative to the
following sequence of HYPRE_IJVectors calls:
Create, SetObjectType, Initialize, SetValues, and Assemble
*/
HYPRE_IJVectorGetObject(b, (void **) &par_b);
HYPRE_IJVectorAssemble(x);
HYPRE_IJVectorGetObject(x, (void **) &par_x);
/* Print out the system - files names will be IJ.out.A.XXXXX
and IJ.out.b.XXXXX, where XXXXX = processor id */
if (print_system)
{
HYPRE_IJMatrixPrint(A, "IJ.out.A");
HYPRE_IJVectorPrint(b, "IJ.out.b");
}
/* Choose a solver and solve the system */
/* AMG */
if (solver_id == 0)
{
HYPRE_Int num_iterations;
double final_res_norm;
/* Create solver */
HYPRE_BoomerAMGCreate(&solver);
/* Set some parameters (See Reference Manual for more parameters) */
HYPRE_BoomerAMGSetPrintLevel(solver, 3); /* print solve info + parameters */
HYPRE_BoomerAMGSetCoarsenType(solver, 6); /* Falgout coarsening */
HYPRE_BoomerAMGSetRelaxType(solver, 3); /* G-S/Jacobi hybrid relaxation */
HYPRE_BoomerAMGSetNumSweeps(solver, 1); /* Sweeeps on each level */
HYPRE_BoomerAMGSetMaxLevels(solver, 20); /* maximum number of levels */
HYPRE_BoomerAMGSetTol(solver, 1e-7); /* conv. tolerance */
/* Now setup and solve! */
HYPRE_BoomerAMGSetup(solver, parcsr_A, par_b, par_x);
HYPRE_BoomerAMGSolve(solver, parcsr_A, par_b, par_x);
/* Run info - needed logging turned on */
HYPRE_BoomerAMGGetNumIterations(solver, &num_iterations);
HYPRE_BoomerAMGGetFinalRelativeResidualNorm(solver, &final_res_norm);
if (myid == 0)
{
printf("\n");
printf("Iterations = %lld\n", num_iterations);
printf("Final Relative Residual Norm = %e\n", final_res_norm);
printf("\n");
}
/* Destroy solver */
HYPRE_BoomerAMGDestroy(solver);
}
/* PCG */
else if (solver_id == 50)
{
HYPRE_Int num_iterations;
double final_res_norm;
/* Create solver */
HYPRE_ParCSRPCGCreate(MPI_COMM_WORLD, &solver);
/* Set some parameters (See Reference Manual for more parameters) */
HYPRE_PCGSetMaxIter(solver, 1000); /* max iterations */
HYPRE_PCGSetTol(solver, 1e-7); /* conv. tolerance */
HYPRE_PCGSetTwoNorm(solver, 1); /* use the two norm as the stopping criteria */
HYPRE_PCGSetPrintLevel(solver, 2); /* prints out the iteration info */
HYPRE_PCGSetLogging(solver, 1); /* needed to get run info later */
/* Now setup and solve! */
HYPRE_ParCSRPCGSetup(solver, parcsr_A, par_b, par_x);
HYPRE_ParCSRPCGSolve(solver, parcsr_A, par_b, par_x);
/* Run info - needed logging turned on */
HYPRE_PCGGetNumIterations(solver, &num_iterations);
HYPRE_PCGGetFinalRelativeResidualNorm(solver, &final_res_norm);
if (myid == 0)
{
printf("\n");
printf("Iterations = %lld\n", num_iterations);
printf("Final Relative Residual Norm = %e\n", final_res_norm);
printf("\n");
}
/* Destroy solver */
HYPRE_ParCSRPCGDestroy(solver);
}
/* PCG with AMG preconditioner */
else if (solver_id == 1)
{
HYPRE_Int num_iterations;
double final_res_norm;
/* Create solver */
HYPRE_ParCSRPCGCreate(MPI_COMM_WORLD, &solver);
/* Set some parameters (See Reference Manual for more parameters) */
HYPRE_PCGSetMaxIter(solver, 1000); /* max iterations */
HYPRE_PCGSetTol(solver, 1e-7); /* conv. tolerance */
HYPRE_PCGSetTwoNorm(solver, 1); /* use the two norm as the stopping criteria */
HYPRE_PCGSetPrintLevel(solver, 2); /* print solve info */
HYPRE_PCGSetLogging(solver, 1); /* needed to get run info later */
/* Now set up the AMG preconditioner and specify any parameters */
HYPRE_BoomerAMGCreate(&precond);
HYPRE_BoomerAMGSetPrintLevel(precond, 1); /* print amg solution info */
HYPRE_BoomerAMGSetCoarsenType(precond, 6);
HYPRE_BoomerAMGSetRelaxType(precond, 6); /* Sym G.S./Jacobi hybrid */
HYPRE_BoomerAMGSetNumSweeps(precond, 1);
HYPRE_BoomerAMGSetTol(precond, 0.0); /* conv. tolerance zero */
HYPRE_BoomerAMGSetMaxIter(precond, 1); /* do only one iteration! */
/* Set the PCG preconditioner */
HYPRE_PCGSetPrecond(solver, (HYPRE_PtrToSolverFcn) HYPRE_BoomerAMGSolve,
(HYPRE_PtrToSolverFcn) HYPRE_BoomerAMGSetup, precond);
/* Now setup and solve! */
HYPRE_ParCSRPCGSetup(solver, parcsr_A, par_b, par_x);
HYPRE_ParCSRPCGSolve(solver, parcsr_A, par_b, par_x);
/* Run info - needed logging turned on */
HYPRE_PCGGetNumIterations(solver, &num_iterations);
HYPRE_PCGGetFinalRelativeResidualNorm(solver, &final_res_norm);
if (myid == 0)
{
printf("\n");
printf("Iterations = %lld\n", num_iterations);
printf("Final Relative Residual Norm = %e\n", final_res_norm);
printf("\n");
}
/* Destroy solver and preconditioner */
HYPRE_ParCSRPCGDestroy(solver);
HYPRE_BoomerAMGDestroy(precond);
}
/* PCG with Parasails Preconditioner */
else if (solver_id == 8)
{
HYPRE_Int num_iterations;
double final_res_norm;
int sai_max_levels = 1;
double sai_threshold = 0.1;
double sai_filter = 0.05;
int sai_sym = 1;
/* Create solver */
HYPRE_ParCSRPCGCreate(MPI_COMM_WORLD, &solver);
/* Set some parameters (See Reference Manual for more parameters) */
HYPRE_PCGSetMaxIter(solver, 1000); /* max iterations */
HYPRE_PCGSetTol(solver, 1e-7); /* conv. tolerance */
HYPRE_PCGSetTwoNorm(solver, 1); /* use the two norm as the stopping criteria */
HYPRE_PCGSetPrintLevel(solver, 2); /* print solve info */
HYPRE_PCGSetLogging(solver, 1); /* needed to get run info later */
/* Now set up the ParaSails preconditioner and specify any parameters */
HYPRE_ParaSailsCreate(MPI_COMM_WORLD, &precond);
/* Set some parameters (See Reference Manual for more parameters) */
HYPRE_ParaSailsSetParams(precond, sai_threshold, sai_max_levels);
HYPRE_ParaSailsSetFilter(precond, sai_filter);
HYPRE_ParaSailsSetSym(precond, sai_sym);
HYPRE_ParaSailsSetLogging(precond, 3);
/* Set the PCG preconditioner */
HYPRE_PCGSetPrecond(solver, (HYPRE_PtrToSolverFcn) HYPRE_ParaSailsSolve,
(HYPRE_PtrToSolverFcn) HYPRE_ParaSailsSetup, precond);
/* Now setup and solve! */
HYPRE_ParCSRPCGSetup(solver, parcsr_A, par_b, par_x);
HYPRE_ParCSRPCGSolve(solver, parcsr_A, par_b, par_x);
/* Run info - needed logging turned on */
HYPRE_PCGGetNumIterations(solver, &num_iterations);
HYPRE_PCGGetFinalRelativeResidualNorm(solver, &final_res_norm);
if (myid == 0)
{
printf("\n");
printf("Iterations = %lld\n", num_iterations);
printf("Final Relative Residual Norm = %e\n", final_res_norm);
printf("\n");
}
/* Destory solver and preconditioner */
HYPRE_ParCSRPCGDestroy(solver);
HYPRE_ParaSailsDestroy(precond);
}
/* Flexible GMRES with AMG Preconditioner */
else if (solver_id == 61)
{
HYPRE_Int num_iterations;
double final_res_norm;
int restart = 30;
int modify = 1;
/* Create solver */
HYPRE_ParCSRFlexGMRESCreate(MPI_COMM_WORLD, &solver);
/* Set some parameters (See Reference Manual for more parameters) */
HYPRE_FlexGMRESSetKDim(solver, restart);
HYPRE_FlexGMRESSetMaxIter(solver, 1000); /* max iterations */
HYPRE_FlexGMRESSetTol(solver, 1e-7); /* conv. tolerance */
HYPRE_FlexGMRESSetPrintLevel(solver, 2); /* print solve info */
HYPRE_FlexGMRESSetLogging(solver, 1); /* needed to get run info later */
/* Now set up the AMG preconditioner and specify any parameters */
HYPRE_BoomerAMGCreate(&precond);
HYPRE_BoomerAMGSetPrintLevel(precond, 1); /* print amg solution info */
HYPRE_BoomerAMGSetCoarsenType(precond, 6);
HYPRE_BoomerAMGSetRelaxType(precond, 6); /* Sym G.S./Jacobi hybrid */
HYPRE_BoomerAMGSetNumSweeps(precond, 1);
HYPRE_BoomerAMGSetTol(precond, 0.0); /* conv. tolerance zero */
HYPRE_BoomerAMGSetMaxIter(precond, 1); /* do only one iteration! */
/* Set the FlexGMRES preconditioner */
HYPRE_FlexGMRESSetPrecond(solver, (HYPRE_PtrToSolverFcn) HYPRE_BoomerAMGSolve,
(HYPRE_PtrToSolverFcn) HYPRE_BoomerAMGSetup, precond);
if (modify)
/* this is an optional call - if you don't call it, hypre_FlexGMRESModifyPCDefault
is used - which does nothing. Otherwise, you can define your own, similar to
the one used here */
HYPRE_FlexGMRESSetModifyPC( solver,
(HYPRE_PtrToModifyPCFcn) hypre_FlexGMRESModifyPCAMGExample);
/* Now setup and solve! */
HYPRE_ParCSRFlexGMRESSetup(solver, parcsr_A, par_b, par_x);
HYPRE_ParCSRFlexGMRESSolve(solver, parcsr_A, par_b, par_x);
/* Run info - needed logging turned on */
HYPRE_FlexGMRESGetNumIterations(solver, &num_iterations);
HYPRE_FlexGMRESGetFinalRelativeResidualNorm(solver, &final_res_norm);
if (myid == 0)
{
printf("\n");
printf("Iterations = %lld\n", num_iterations);
printf("Final Relative Residual Norm = %e\n", final_res_norm);
printf("\n");
}
/* Destory solver and preconditioner */
HYPRE_ParCSRFlexGMRESDestroy(solver);
HYPRE_BoomerAMGDestroy(precond);
}
else
{
if (myid ==0) printf("Invalid solver id specified.\n");
}
/* Print the solution */
if (print_solution)
HYPRE_IJVectorPrint(x, "ij.out.x");
/* Clean up */
HYPRE_IJMatrixDestroy(A);
HYPRE_IJVectorDestroy(b);
HYPRE_IJVectorDestroy(x);
/* Finalize MPI*/
MPI_Finalize();
return(0);
}
HYPRE_Int AmgCGCGraphAssemble (hypre_ParCSRMatrix *S,HYPRE_Int *vertexrange,HYPRE_Int *CF_marker,HYPRE_Int *CF_marker_offd,HYPRE_Int coarsen_type,
HYPRE_IJMatrix *ijG)
/* assemble a graph representing the connections between the grids
* ================================================================================================
* S : the strength matrix
* vertexrange : the parallel layout of the candidate coarse grid vertices
* CF_marker, CF_marker_offd : the coarse/fine markers
* coarsen_type : the coarsening type
* ijG : the created graph
* ================================================================================================*/
{
HYPRE_Int ierr=0;
HYPRE_Int i,/* ii,*/ip,j,jj,m,n,p;
HYPRE_Int mpisize,mpirank;
HYPRE_Real weight;
MPI_Comm comm = hypre_ParCSRMatrixComm(S);
/* hypre_MPI_Status status; */
HYPRE_IJMatrix ijmatrix;
hypre_CSRMatrix *S_diag = hypre_ParCSRMatrixDiag (S);
hypre_CSRMatrix *S_offd = hypre_ParCSRMatrixOffd (S);
/* HYPRE_Int *S_i = hypre_CSRMatrixI(S_diag); */
/* HYPRE_Int *S_j = hypre_CSRMatrixJ(S_diag); */
HYPRE_Int *S_offd_i = hypre_CSRMatrixI(S_offd);
HYPRE_Int *S_offd_j = NULL;
HYPRE_Int num_variables = hypre_CSRMatrixNumRows (S_diag);
HYPRE_Int num_cols_offd = hypre_CSRMatrixNumCols (S_offd);
HYPRE_Int *col_map_offd = hypre_ParCSRMatrixColMapOffd (S);
HYPRE_Int pointrange_start,pointrange_end;
HYPRE_Int *pointrange,*pointrange_nonlocal,*pointrange_strong=NULL;
HYPRE_Int vertexrange_start,vertexrange_end;
HYPRE_Int *vertexrange_strong= NULL;
HYPRE_Int *vertexrange_nonlocal;
HYPRE_Int num_recvs,num_recvs_strong;
HYPRE_Int *recv_procs,*recv_procs_strong=NULL;
HYPRE_Int /* *zeros,*rownz,*/*rownz_diag,*rownz_offd;
HYPRE_Int nz;
HYPRE_Int nlocal;
HYPRE_Int one=1;
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg (S);
hypre_MPI_Comm_size (comm,&mpisize);
hypre_MPI_Comm_rank (comm,&mpirank);
/* determine neighbor processors */
num_recvs = hypre_ParCSRCommPkgNumRecvs (comm_pkg);
recv_procs = hypre_ParCSRCommPkgRecvProcs (comm_pkg);
pointrange = hypre_ParCSRMatrixRowStarts (S);
pointrange_nonlocal = hypre_CTAlloc (HYPRE_Int, 2*num_recvs);
vertexrange_nonlocal = hypre_CTAlloc (HYPRE_Int, 2*num_recvs);
#ifdef HYPRE_NO_GLOBAL_PARTITION
{
HYPRE_Int num_sends = hypre_ParCSRCommPkgNumSends (comm_pkg);
HYPRE_Int *send_procs = hypre_ParCSRCommPkgSendProcs (comm_pkg);
HYPRE_Int *int_buf_data = hypre_CTAlloc (HYPRE_Int,4*num_sends);
HYPRE_Int *int_buf_data2 = int_buf_data + 2*num_sends;
hypre_MPI_Request *sendrequest,*recvrequest;
nlocal = vertexrange[1] - vertexrange[0];
pointrange_start = pointrange[0];
pointrange_end = pointrange[1];
vertexrange_start = vertexrange[0];
vertexrange_end = vertexrange[1];
sendrequest = hypre_CTAlloc (hypre_MPI_Request,2*(num_sends+num_recvs));
recvrequest = sendrequest+2*num_sends;
for (i=0;i<num_recvs;i++) {
hypre_MPI_Irecv (pointrange_nonlocal+2*i,2,HYPRE_MPI_INT,recv_procs[i],tag_pointrange,comm,&recvrequest[2*i]);
hypre_MPI_Irecv (vertexrange_nonlocal+2*i,2,HYPRE_MPI_INT,recv_procs[i],tag_vertexrange,comm,&recvrequest[2*i+1]);
}
for (i=0;i<num_sends;i++) {
int_buf_data[2*i] = pointrange_start;
int_buf_data[2*i+1] = pointrange_end;
int_buf_data2[2*i] = vertexrange_start;
int_buf_data2[2*i+1] = vertexrange_end;
hypre_MPI_Isend (int_buf_data+2*i,2,HYPRE_MPI_INT,send_procs[i],tag_pointrange,comm,&sendrequest[2*i]);
hypre_MPI_Isend (int_buf_data2+2*i,2,HYPRE_MPI_INT,send_procs[i],tag_vertexrange,comm,&sendrequest[2*i+1]);
}
hypre_MPI_Waitall (2*(num_sends+num_recvs),sendrequest,hypre_MPI_STATUSES_IGNORE);
hypre_TFree (int_buf_data);
hypre_TFree (sendrequest);
}
#else
nlocal = vertexrange[mpirank+1] - vertexrange[mpirank];
pointrange_start = pointrange[mpirank];
pointrange_end = pointrange[mpirank+1];
vertexrange_start = vertexrange[mpirank];
vertexrange_end = vertexrange[mpirank+1];
for (i=0;i<num_recvs;i++) {
pointrange_nonlocal[2*i] = pointrange[recv_procs[i]];
pointrange_nonlocal[2*i+1] = pointrange[recv_procs[i]+1];
vertexrange_nonlocal[2*i] = vertexrange[recv_procs[i]];
vertexrange_nonlocal[2*i+1] = vertexrange[recv_procs[i]+1];
}
#endif
/* now we have the array recv_procs. However, it may contain too many entries as it is
inherited from A. We now have to determine the subset which contains only the
strongly connected neighbors */
if (num_cols_offd) {
S_offd_j = hypre_CSRMatrixJ(S_offd);
recv_procs_strong = hypre_CTAlloc (HYPRE_Int,num_recvs);
memset (recv_procs_strong,0,num_recvs*sizeof(HYPRE_Int));
/* don't forget to shorten the pointrange and vertexrange arrays accordingly */
pointrange_strong = hypre_CTAlloc (HYPRE_Int,2*num_recvs);
memset (pointrange_strong,0,2*num_recvs*sizeof(HYPRE_Int));
vertexrange_strong = hypre_CTAlloc (HYPRE_Int,2*num_recvs);
memset (vertexrange_strong,0,2*num_recvs*sizeof(HYPRE_Int));
for (i=0;i<num_variables;i++)
for (j=S_offd_i[i];j<S_offd_i[i+1];j++) {
jj = col_map_offd[S_offd_j[j]];
for (p=0;p<num_recvs;p++) /* S_offd_j is NOT sorted! */
if (jj >= pointrange_nonlocal[2*p] && jj < pointrange_nonlocal[2*p+1]) break;
#if 0
hypre_printf ("Processor %d, remote point %d on processor %d\n",mpirank,jj,recv_procs[p]);
#endif
recv_procs_strong [p]=1;
}
for (p=0,num_recvs_strong=0;p<num_recvs;p++) {
if (recv_procs_strong[p]) {
recv_procs_strong[num_recvs_strong]=recv_procs[p];
pointrange_strong[2*num_recvs_strong] = pointrange_nonlocal[2*p];
pointrange_strong[2*num_recvs_strong+1] = pointrange_nonlocal[2*p+1];
vertexrange_strong[2*num_recvs_strong] = vertexrange_nonlocal[2*p];
vertexrange_strong[2*num_recvs_strong+1] = vertexrange_nonlocal[2*p+1];
num_recvs_strong++;
}
}
}
else num_recvs_strong=0;
hypre_TFree (pointrange_nonlocal);
hypre_TFree (vertexrange_nonlocal);
rownz_diag = hypre_CTAlloc (HYPRE_Int,2*nlocal);
rownz_offd = rownz_diag + nlocal;
for (p=0,nz=0;p<num_recvs_strong;p++) {
nz += vertexrange_strong[2*p+1]-vertexrange_strong[2*p];
}
for (m=0;m<nlocal;m++) {
rownz_diag[m]=nlocal-1;
rownz_offd[m]=nz;
}
HYPRE_IJMatrixCreate(comm, vertexrange_start, vertexrange_end-1, vertexrange_start, vertexrange_end-1, &ijmatrix);
HYPRE_IJMatrixSetObjectType(ijmatrix, HYPRE_PARCSR);
HYPRE_IJMatrixSetDiagOffdSizes (ijmatrix, rownz_diag, rownz_offd);
HYPRE_IJMatrixInitialize(ijmatrix);
hypre_TFree (rownz_diag);
/* initialize graph */
weight = -1;
for (m=vertexrange_start;m<vertexrange_end;m++) {
for (p=0;p<num_recvs_strong;p++) {
for (n=vertexrange_strong[2*p];n<vertexrange_strong[2*p+1];n++) {
ierr = HYPRE_IJMatrixAddToValues (ijmatrix,1,&one,&m,&n,&weight);
#if 0
if (ierr) hypre_printf ("Processor %d: error %d while initializing graphs at (%d, %d)\n",mpirank,ierr,m,n);
#endif
}
}
}
/* weight graph */
for (i=0;i<num_variables;i++) {
for (j=S_offd_i[i];j<S_offd_i[i+1];j++) {
jj = S_offd_j[j]; /* jj is not a global index!!! */
/* determine processor */
for (p=0;p<num_recvs_strong;p++)
if (col_map_offd[jj] >= pointrange_strong[2*p] && col_map_offd[jj] < pointrange_strong[2*p+1]) break;
ip=recv_procs_strong[p];
/* loop over all coarse grids constructed on this processor domain */
for (m=vertexrange_start;m<vertexrange_end;m++) {
/* loop over all coarse grids constructed on neighbor processor domain */
for (n=vertexrange_strong[2*p];n<vertexrange_strong[2*p+1];n++) {
/* coarse grid counting inside gridpartition->local/gridpartition->nonlocal starts with one
while counting inside range starts with zero */
if (CF_marker[i]-1==m && CF_marker_offd[jj]-1==n)
/* C-C-coupling */
weight = -1;
else if ( (CF_marker[i]-1==m && (CF_marker_offd[jj]==0 || CF_marker_offd[jj]-1!=n) )
|| ( (CF_marker[i]==0 || CF_marker[i]-1!=m) && CF_marker_offd[jj]-1==n ) )
/* C-F-coupling */
weight = 0;
else weight = -8; /* F-F-coupling */
ierr = HYPRE_IJMatrixAddToValues (ijmatrix,1,&one,&m,&n,&weight);
#if 0
if (ierr) hypre_printf ("Processor %d: error %d while adding %lf to entry (%d, %d)\n",mpirank,ierr,weight,m,n);
#endif
}
}
}
}
/* assemble */
HYPRE_IJMatrixAssemble (ijmatrix);
/*if (num_recvs_strong) {*/
hypre_TFree (recv_procs_strong);
hypre_TFree (pointrange_strong);
hypre_TFree (vertexrange_strong);
/*} */
*ijG = ijmatrix;
return (ierr);
}
HYPRE_Int main (HYPRE_Int argc, char *argv[])
{
HYPRE_Int i;
HYPRE_Int myid, num_procs;
HYPRE_Int N, n;
HYPRE_Int ilower, iupper;
HYPRE_Int local_size, extra;
HYPRE_Int solver_id;
HYPRE_Int print_solution;
double h, h2;
#ifdef HYPRE_FORTRAN
hypre_F90_Obj A;
hypre_F90_Obj parcsr_A;
hypre_F90_Obj b;
hypre_F90_Obj par_b;
hypre_F90_Obj x;
hypre_F90_Obj par_x;
hypre_F90_Obj solver, precond;
hypre_F90_Obj long_temp_COMM;
HYPRE_Int temp_COMM;
HYPRE_Int precond_id;
HYPRE_Int one = 1;
HYPRE_Int two = 2;
HYPRE_Int three = 3;
HYPRE_Int six = 6;
HYPRE_Int twenty = 20;
HYPRE_Int thousand = 1000;
HYPRE_Int hypre_type = HYPRE_PARCSR;
double oo1 = 1.e-3;
double tol = 1.e-7;
#else
HYPRE_IJMatrix A;
HYPRE_ParCSRMatrix parcsr_A;
HYPRE_IJVector b;
HYPRE_ParVector par_b;
HYPRE_IJVector x;
HYPRE_ParVector par_x;
HYPRE_Solver solver, precond;
#endif
/* Initialize MPI */
hypre_MPI_Init(&argc, &argv);
hypre_MPI_Comm_rank(hypre_MPI_COMM_WORLD, &myid);
hypre_MPI_Comm_size(hypre_MPI_COMM_WORLD, &num_procs);
/* Default problem parameters */
n = 33;
solver_id = 0;
print_solution = 0;
/* Parse command line */
{
HYPRE_Int arg_index = 0;
HYPRE_Int print_usage = 0;
while (arg_index < argc)
{
if ( strcmp(argv[arg_index], "-n") == 0 )
{
arg_index++;
n = atoi(argv[arg_index++]);
}
else if ( strcmp(argv[arg_index], "-solver") == 0 )
{
arg_index++;
solver_id = atoi(argv[arg_index++]);
}
else if ( strcmp(argv[arg_index], "-print_solution") == 0 )
{
arg_index++;
print_solution = 1;
}
else if ( strcmp(argv[arg_index], "-help") == 0 )
{
print_usage = 1;
break;
}
else
{
arg_index++;
}
}
if ((print_usage) && (myid == 0))
{
hypre_printf("\n");
hypre_printf("Usage: %s [<options>]\n", argv[0]);
hypre_printf("\n");
hypre_printf(" -n <n> : problem size in each direction (default: 33)\n");
hypre_printf(" -solver <ID> : solver ID\n");
hypre_printf(" 0 - AMG (default) \n");
hypre_printf(" 1 - AMG-PCG\n");
hypre_printf(" 8 - ParaSails-PCG\n");
hypre_printf(" 50 - PCG\n");
hypre_printf(" -print_solution : print the solution vector\n");
hypre_printf("\n");
}
if (print_usage)
{
hypre_MPI_Finalize();
return (0);
}
}
/* Preliminaries: want at least one processor per row */
if (n*n < num_procs) n = sqrt(num_procs) + 1;
N = n*n; /* global number of rows */
h = 1.0/(n+1); /* mesh size*/
h2 = h*h;
/* Each processor knows only of its own rows - the range is denoted by ilower
and upper. Here we partition the rows. We account for the fact that
N may not divide evenly by the number of processors. */
local_size = N/num_procs;
extra = N - local_size*num_procs;
ilower = local_size*myid;
ilower += hypre_min(myid, extra);
iupper = local_size*(myid+1);
iupper += hypre_min(myid+1, extra);
iupper = iupper - 1;
/* How many rows do I have? */
local_size = iupper - ilower + 1;
/* Create the matrix.
Note that this is a square matrix, so we indicate the row partition
size twice (since number of rows = number of cols) */
#ifdef HYPRE_FORTRAN
long_temp_COMM = (hypre_F90_Obj) hypre_MPI_COMM_WORLD;
temp_COMM = (HYPRE_Int) hypre_MPI_COMM_WORLD;
HYPRE_IJMatrixCreate(&long_temp_COMM, &ilower, &iupper, &ilower, &iupper, &A);
#else
HYPRE_IJMatrixCreate(hypre_MPI_COMM_WORLD, ilower, iupper, ilower, iupper, &A);
#endif
/* Choose a parallel csr format storage (see the User's Manual) */
#ifdef HYPRE_FORTRAN
HYPRE_IJMatrixSetObjectType(&A, &hypre_type);
#else
HYPRE_IJMatrixSetObjectType(A, HYPRE_PARCSR);
#endif
/* Initialize before setting coefficients */
#ifdef HYPRE_FORTRAN
HYPRE_IJMatrixInitialize(&A);
#else
HYPRE_IJMatrixInitialize(A);
#endif
/* Now go through my local rows and set the matrix entries.
Each row has at most 5 entries. For example, if n=3:
A = [M -I 0; -I M -I; 0 -I M]
M = [4 -1 0; -1 4 -1; 0 -1 4]
Note that here we are setting one row at a time, though
one could set all the rows together (see the User's Manual).
*/
{
HYPRE_Int nnz;
double values[5];
HYPRE_Int cols[5];
for (i = ilower; i <= iupper; i++)
{
nnz = 0;
/* The left identity block:position i-n */
if ((i-n)>=0)
{
cols[nnz] = i-n;
values[nnz] = -1.0;
nnz++;
}
/* The left -1: position i-1 */
if (i%n)
{
cols[nnz] = i-1;
values[nnz] = -1.0;
nnz++;
}
/* Set the diagonal: position i */
cols[nnz] = i;
values[nnz] = 4.0;
nnz++;
/* The right -1: position i+1 */
if ((i+1)%n)
{
cols[nnz] = i+1;
values[nnz] = -1.0;
nnz++;
}
/* The right identity block:position i+n */
if ((i+n)< N)
{
cols[nnz] = i+n;
values[nnz] = -1.0;
nnz++;
}
/* Set the values for row i */
#ifdef HYPRE_FORTRAN
HYPRE_IJMatrixSetValues(&A, &one, &nnz, &i, &cols[0], &values[0]);
#else
HYPRE_IJMatrixSetValues(A, 1, &nnz, &i, cols, values);
#endif
}
}
/* Assemble after setting the coefficients */
#ifdef HYPRE_FORTRAN
HYPRE_IJMatrixAssemble(&A);
#else
HYPRE_IJMatrixAssemble(A);
#endif
/* Get the parcsr matrix object to use */
#ifdef HYPRE_FORTRAN
HYPRE_IJMatrixGetObject(&A, &parcsr_A);
HYPRE_IJMatrixGetObject(&A, &parcsr_A);
#else
HYPRE_IJMatrixGetObject(A, (void**) &parcsr_A);
HYPRE_IJMatrixGetObject(A, (void**) &parcsr_A);
#endif
/* Create the rhs and solution */
#ifdef HYPRE_FORTRAN
HYPRE_IJVectorCreate(&temp_COMM, &ilower, &iupper, &b);
HYPRE_IJVectorSetObjectType(&b, &hypre_type);
HYPRE_IJVectorInitialize(&b);
#else
HYPRE_IJVectorCreate(hypre_MPI_COMM_WORLD, ilower, iupper,&b);
HYPRE_IJVectorSetObjectType(b, HYPRE_PARCSR);
HYPRE_IJVectorInitialize(b);
#endif
#ifdef HYPRE_FORTRAN
HYPRE_IJVectorCreate(&temp_COMM, &ilower, &iupper, &x);
HYPRE_IJVectorSetObjectType(&x, &hypre_type);
HYPRE_IJVectorInitialize(&x);
#else
HYPRE_IJVectorCreate(hypre_MPI_COMM_WORLD, ilower, iupper,&x);
HYPRE_IJVectorSetObjectType(x, HYPRE_PARCSR);
HYPRE_IJVectorInitialize(x);
#endif
/* Set the rhs values to h^2 and the solution to zero */
{
double *rhs_values, *x_values;
HYPRE_Int *rows;
rhs_values = calloc(local_size, sizeof(double));
x_values = calloc(local_size, sizeof(double));
rows = calloc(local_size, sizeof(HYPRE_Int));
for (i=0; i<local_size; i++)
{
rhs_values[i] = h2;
x_values[i] = 0.0;
rows[i] = ilower + i;
}
#ifdef HYPRE_FORTRAN
HYPRE_IJVectorSetValues(&b, &local_size, &rows[0], &rhs_values[0]);
HYPRE_IJVectorSetValues(&x, &local_size, &rows[0], &x_values[0]);
#else
HYPRE_IJVectorSetValues(b, local_size, rows, rhs_values);
HYPRE_IJVectorSetValues(x, local_size, rows, x_values);
#endif
free(x_values);
free(rhs_values);
free(rows);
}
#ifdef HYPRE_FORTRAN
HYPRE_IJVectorAssemble(&b);
HYPRE_IJVectorGetObject(&b, &par_b);
#else
HYPRE_IJVectorAssemble(b);
HYPRE_IJVectorGetObject(b, (void **) &par_b);
#endif
#ifdef HYPRE_FORTRAN
HYPRE_IJVectorAssemble(&x);
HYPRE_IJVectorGetObject(&x, &par_x);
#else
HYPRE_IJVectorAssemble(x);
HYPRE_IJVectorGetObject(x, (void **) &par_x);
#endif
/* Choose a solver and solve the system */
/* AMG */
if (solver_id == 0)
{
HYPRE_Int num_iterations;
double final_res_norm;
/* Create solver */
#ifdef HYPRE_FORTRAN
HYPRE_BoomerAMGCreate(&solver);
#else
HYPRE_BoomerAMGCreate(&solver);
#endif
/* Set some parameters (See Reference Manual for more parameters) */
#ifdef HYPRE_FORTRAN
HYPRE_BoomerAMGSetPrintLevel(&solver, &three); /* print solve info + parameters */
HYPRE_BoomerAMGSetCoarsenType(&solver, &six); /* Falgout coarsening */
HYPRE_BoomerAMGSetRelaxType(&solver, &three); /* G-S/Jacobi hybrid relaxation */
HYPRE_BoomerAMGSetNumSweeps(&solver, &one); /* Sweeeps on each level */
HYPRE_BoomerAMGSetMaxLevels(&solver, &twenty); /* maximum number of levels */
HYPRE_BoomerAMGSetTol(&solver, &tol); /* conv. tolerance */
#else
HYPRE_BoomerAMGSetPrintLevel(solver, 3); /* print solve info + parameters */
HYPRE_BoomerAMGSetCoarsenType(solver, 6); /* Falgout coarsening */
HYPRE_BoomerAMGSetRelaxType(solver, 3); /* G-S/Jacobi hybrid relaxation */
HYPRE_BoomerAMGSetNumSweeps(solver, 1); /* Sweeeps on each level */
HYPRE_BoomerAMGSetMaxLevels(solver, 20); /* maximum number of levels */
HYPRE_BoomerAMGSetTol(solver, 1e-7); /* conv. tolerance */
#endif
/* Now setup and solve! */
#ifdef HYPRE_FORTRAN
HYPRE_BoomerAMGSetup(&solver, &parcsr_A, &par_b, &par_x);
HYPRE_BoomerAMGSolve(&solver, &parcsr_A, &par_b, &par_x);
#else
HYPRE_BoomerAMGSetup(solver, parcsr_A, par_b, par_x);
HYPRE_BoomerAMGSolve(solver, parcsr_A, par_b, par_x);
#endif
/* Run info - needed logging turned on */
#ifdef HYPRE_FORTRAN
HYPRE_BoomerAMGGetNumIterations(&solver, &num_iterations);
HYPRE_BoomerAMGGetFinalRelativeResidualNorm(&solver, &final_res_norm);
#else
HYPRE_BoomerAMGGetNumIterations(solver, &num_iterations);
HYPRE_BoomerAMGGetFinalRelativeResidualNorm(solver, &final_res_norm);
#endif
if (myid == 0)
{
hypre_printf("\n");
hypre_printf("Iterations = %d\n", num_iterations);
hypre_printf("Final Relative Residual Norm = %e\n", final_res_norm);
hypre_printf("\n");
}
/* Destroy solver */
#ifdef HYPRE_FORTRAN
HYPRE_BoomerAMGDestroy(&solver);
#else
HYPRE_BoomerAMGDestroy(solver);
#endif
}
/* PCG */
else if (solver_id == 50)
{
HYPRE_Int num_iterations;
double final_res_norm;
/* Create solver */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGCreate(&temp_COMM, &solver);
#else
HYPRE_ParCSRPCGCreate(hypre_MPI_COMM_WORLD, &solver);
#endif
/* Set some parameters (See Reference Manual for more parameters) */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGSetMaxIter(&solver, &thousand); /* max iterations */
HYPRE_ParCSRPCGSetTol(&solver, &tol); /* conv. tolerance */
HYPRE_ParCSRPCGSetTwoNorm(&solver, &one); /* use the two norm as the stopping criteria */
HYPRE_ParCSRPCGSetPrintLevel(&solver, &two); /* prints out the iteration info */
#else
HYPRE_PCGSetMaxIter(solver, 1000); /* max iterations */
HYPRE_PCGSetTol(solver, 1e-7); /* conv. tolerance */
HYPRE_PCGSetTwoNorm(solver, 1); /* use the two norm as the stopping criteria */
HYPRE_PCGSetPrintLevel(solver, 2); /* prints out the iteration info */
HYPRE_PCGSetLogging(solver, 1); /* needed to get run info later */
#endif
/* Now setup and solve! */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGSetup(&solver, &parcsr_A, &par_b, &par_x);
HYPRE_ParCSRPCGSolve(&solver, &parcsr_A, &par_b, &par_x);
#else
HYPRE_ParCSRPCGSetup(solver, parcsr_A, par_b, par_x);
HYPRE_ParCSRPCGSolve(solver, parcsr_A, par_b, par_x);
#endif
/* Run info - needed logging turned on */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGGetNumIterations(&solver, &num_iterations);
HYPRE_ParCSRPCGGetFinalRelativeResidualNorm(&solver, &final_res_norm);
#else
HYPRE_PCGGetNumIterations(solver, &num_iterations);
HYPRE_PCGGetFinalRelativeResidualNorm(solver, &final_res_norm);
#endif
if (myid == 0)
{
hypre_printf("\n");
hypre_printf("Iterations = %d\n", num_iterations);
hypre_printf("Final Relative Residual Norm = %e\n", final_res_norm);
hypre_printf("\n");
}
/* Destroy solver */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGDestroy(&solver);
#else
HYPRE_ParCSRPCGDestroy(solver);
#endif
}
/* PCG with AMG preconditioner */
else if (solver_id == 1)
{
HYPRE_Int num_iterations;
double final_res_norm;
/* Create solver */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGCreate(&temp_COMM, &solver);
#else
HYPRE_ParCSRPCGCreate(hypre_MPI_COMM_WORLD, &solver);
#endif
/* Set some parameters (See Reference Manual for more parameters) */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGSetMaxIter(&solver, &thousand); /* max iterations */
HYPRE_ParCSRPCGSetTol(&solver, &tol); /* conv. tolerance */
HYPRE_ParCSRPCGSetTwoNorm(&solver, &one); /* use the two norm as the stopping criteria */
HYPRE_ParCSRPCGSetPrintLevel(&solver, &two); /* print solve info */
#else
HYPRE_PCGSetMaxIter(solver, 1000); /* max iterations */
HYPRE_PCGSetTol(solver, 1e-7); /* conv. tolerance */
HYPRE_PCGSetTwoNorm(solver, 1); /* use the two norm as the stopping criteria */
HYPRE_PCGSetPrintLevel(solver, 2); /* print solve info */
HYPRE_PCGSetLogging(solver, 1); /* needed to get run info later */
#endif
/* Now set up the AMG preconditioner and specify any parameters */
#ifdef HYPRE_FORTRAN
HYPRE_BoomerAMGCreate(&precond);
HYPRE_BoomerAMGSetPrintLevel(&precond, &one); /* print amg solution info*/
HYPRE_BoomerAMGSetCoarsenType(&precond, &six);
HYPRE_BoomerAMGSetRelaxType(&precond, &three);
HYPRE_BoomerAMGSetNumSweeps(&precond, &one);
HYPRE_BoomerAMGSetTol(&precond, &oo1);
#else
HYPRE_BoomerAMGCreate(&precond);
HYPRE_BoomerAMGSetPrintLevel(precond, 1); /* print amg solution info*/
HYPRE_BoomerAMGSetCoarsenType(precond, 6);
HYPRE_BoomerAMGSetRelaxType(precond, 3);
HYPRE_BoomerAMGSetNumSweeps(precond, 1);
HYPRE_BoomerAMGSetTol(precond, 1e-3);
#endif
/* Set the PCG preconditioner */
#ifdef HYPRE_FORTRAN
precond_id = 2;
HYPRE_ParCSRPCGSetPrecond(&solver, &precond_id, &precond);
#else
HYPRE_PCGSetPrecond(solver, (HYPRE_PtrToSolverFcn) HYPRE_BoomerAMGSolve,
(HYPRE_PtrToSolverFcn) HYPRE_BoomerAMGSetup, precond);
#endif
/* Now setup and solve! */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGSetup(&solver, &parcsr_A, &par_b, &par_x);
HYPRE_ParCSRPCGSolve(&solver, &parcsr_A, &par_b, &par_x);
#else
HYPRE_ParCSRPCGSetup(solver, parcsr_A, par_b, par_x);
HYPRE_ParCSRPCGSolve(solver, parcsr_A, par_b, par_x);
#endif
/* Run info - needed logging turned on */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGGetNumIterations(&solver, &num_iterations);
HYPRE_ParCSRPCGGetFinalRelativeResidualNorm(&solver, &final_res_norm);
#else
HYPRE_PCGGetNumIterations(solver, &num_iterations);
HYPRE_PCGGetFinalRelativeResidualNorm(solver, &final_res_norm);
#endif
if (myid == 0)
{
hypre_printf("\n");
hypre_printf("Iterations = %d\n", num_iterations);
hypre_printf("Final Relative Residual Norm = %e\n", final_res_norm);
hypre_printf("\n");
}
/* Destroy solver and preconditioner */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGDestroy(&solver);
HYPRE_BoomerAMGDestroy(&precond);
#else
HYPRE_ParCSRPCGDestroy(solver);
HYPRE_BoomerAMGDestroy(precond);
#endif
}
/* PCG with Parasails Preconditioner */
else if (solver_id == 8)
{
HYPRE_Int num_iterations;
double final_res_norm;
HYPRE_Int sai_max_levels = 1;
double sai_threshold = 0.1;
double sai_filter = 0.05;
HYPRE_Int sai_sym = 1;
/* Create solver */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGCreate(&temp_COMM, &solver);
#else
HYPRE_ParCSRPCGCreate(hypre_MPI_COMM_WORLD, &solver);
#endif
/* Set some parameters (See Reference Manual for more parameters) */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGSetMaxIter(&solver, &thousand); /* max iterations */
HYPRE_ParCSRPCGSetTol(&solver, &tol); /* conv. tolerance */
HYPRE_ParCSRPCGSetTwoNorm(&solver, &one); /* use the two norm as the stopping criteria */
HYPRE_ParCSRPCGSetPrintLevel(&solver, &two); /* print solve info */
#else
HYPRE_PCGSetMaxIter(solver, 1000); /* max iterations */
HYPRE_PCGSetTol(solver, 1e-7); /* conv. tolerance */
HYPRE_PCGSetTwoNorm(solver, 1); /* use the two norm as the stopping criteria */
HYPRE_PCGSetPrintLevel(solver, 2); /* print solve info */
HYPRE_PCGSetLogging(solver, 1); /* needed to get run info later */
#endif
/* Now set up the ParaSails preconditioner and specify any parameters */
#ifdef HYPRE_FORTRAN
HYPRE_ParaSailsCreate(&temp_COMM, &precond);
#else
HYPRE_ParaSailsCreate(hypre_MPI_COMM_WORLD, &precond);
#endif
/* Set some parameters (See Reference Manual for more parameters) */
#ifdef HYPRE_FORTRAN
HYPRE_ParaSailsSetParams(&precond, &sai_threshold, &sai_max_levels);
HYPRE_ParaSailsSetFilter(&precond, &sai_filter);
HYPRE_ParaSailsSetSym(&precond, &sai_sym);
HYPRE_ParaSailsSetLogging(&precond, &three);
#else
HYPRE_ParaSailsSetParams(precond, sai_threshold, sai_max_levels);
HYPRE_ParaSailsSetFilter(precond, sai_filter);
HYPRE_ParaSailsSetSym(precond, sai_sym);
HYPRE_ParaSailsSetLogging(precond, 3);
#endif
/* Set the PCG preconditioner */
#ifdef HYPRE_FORTRAN
precond_id = 4;
HYPRE_ParCSRPCGSetPrecond(&solver, &precond_id, &precond);
#else
HYPRE_PCGSetPrecond(solver, (HYPRE_PtrToSolverFcn) HYPRE_ParaSailsSolve,
(HYPRE_PtrToSolverFcn) HYPRE_ParaSailsSetup, precond);
#endif
/* Now setup and solve! */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGSetup(&solver, &parcsr_A, &par_b, &par_x);
HYPRE_ParCSRPCGSolve(&solver, &parcsr_A, &par_b, &par_x);
#else
HYPRE_ParCSRPCGSetup(solver, parcsr_A, par_b, par_x);
HYPRE_ParCSRPCGSolve(solver, parcsr_A, par_b, par_x);
#endif
/* Run info - needed logging turned on */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGGetNumIterations(&solver, &num_iterations);
HYPRE_ParCSRPCGGetFinalRelativeResidualNorm(&solver, &final_res_norm);
#else
HYPRE_PCGGetNumIterations(solver, &num_iterations);
HYPRE_PCGGetFinalRelativeResidualNorm(solver, &final_res_norm);
#endif
if (myid == 0)
{
hypre_printf("\n");
hypre_printf("Iterations = %d\n", num_iterations);
hypre_printf("Final Relative Residual Norm = %e\n", final_res_norm);
hypre_printf("\n");
}
/* Destory solver and preconditioner */
#ifdef HYPRE_FORTRAN
HYPRE_ParCSRPCGDestroy(&solver);
HYPRE_ParaSailsDestroy(&precond);
#else
HYPRE_ParCSRPCGDestroy(solver);
HYPRE_ParaSailsDestroy(precond);
#endif
}
else
{
if (myid ==0) hypre_printf("Invalid solver id specified.\n");
}
/* Print the solution */
#ifdef HYPRE_FORTRAN
if (print_solution)
HYPRE_IJVectorPrint(&x, "ij.out.x");
#else
if (print_solution)
HYPRE_IJVectorPrint(x, "ij.out.x");
#endif
/* Clean up */
#ifdef HYPRE_FORTRAN
HYPRE_IJMatrixDestroy(&A);
HYPRE_IJVectorDestroy(&b);
HYPRE_IJVectorDestroy(&x);
#else
HYPRE_IJMatrixDestroy(A);
HYPRE_IJVectorDestroy(b);
HYPRE_IJVectorDestroy(x);
#endif
/* Finalize MPI*/
hypre_MPI_Finalize();
return(0);
}
void HypreSolver3D::build_A()
{
HYPRE_IJMatrixCreate(MPI_COMM_WORLD, ilower, iupper, ilower, iupper, &A);
HYPRE_IJMatrixSetObjectType(A, HYPRE_PARCSR);
HYPRE_IJMatrixInitialize(A);
const int N12 = N1*N2;
const int N012 = N0*N1*N2;
int nnz;
double values[7];
int cols[7];
int i;
for(int j=ilower; j<=iupper; j++)
{
nnz = 0;
i = j%N12;//*((int)(j/(N12)));
// North
if ((i-N2)>=0)
{
cols[nnz] = j-N2;
values[nnz] = -1.0;
nnz++;
}
// Left
if (i%N2)
{
cols[nnz] = j-1;
values[nnz] = -1.0;
nnz++;
}
// Center
cols[nnz] = j;
values[nnz] = 6.0;
nnz++;
// Right
if ((i+1)%N2)
{
cols[nnz] = j+1;
values[nnz] = -1.0;
nnz++;
}
// South
if ((i+N2)<N12)
{
cols[nnz] = j+N2;
values[nnz] = -1.0;
nnz++;
}
// Top
if ((j+N12)<N012)
{
cols[nnz] = j+N12;
values[nnz] = -1.0;
nnz++;
}
// Bottom
if ((j-N12)>=0)
{
cols[nnz] = j-N12;
values[nnz] = -1.0;
nnz++;
}
HYPRE_IJMatrixSetValues(A, 1, &nnz, &j, cols, values);
}
HYPRE_IJMatrixAssemble(A);
HYPRE_IJMatrixGetObject(A, (void**) &parcsr_A);
}
int main(int argc, char *argv[])
{
int ierr = 0, i, forierr = 0;
#ifdef EPETRA_MPI
// Initialize MPI
MPI_Init(&argc,&argv);
int rank; // My process ID
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
Epetra_MpiComm Comm( MPI_COMM_WORLD );
#else
int rank = 0;
Epetra_SerialComm Comm;
#endif
bool verbose = false;
// Check if we should print results to standard out
if (argc>1) if (argv[1][0]=='-' && argv[1][1]=='v') verbose = true;
int verbose_int = verbose ? 1 : 0;
Comm.Broadcast(&verbose_int, 1, 0);
verbose = verbose_int==1 ? true : false;
// char tmp;
// if (rank==0) cout << "Press any key to continue..."<< endl;
// if (rank==0) cin >> tmp;
// Comm.Barrier();
Comm.SetTracebackMode(0); // This should shut down any error traceback reporting
int MyPID = Comm.MyPID();
int NumProc = Comm.NumProc();
if(verbose && MyPID==0)
cout << Epetra_Version() << endl << endl;
if (verbose) cout << "Processor "<<MyPID<<" of "<< NumProc
<< " is alive."<<endl;
// Redefine verbose to only print on PE 0
if(verbose && rank!=0)
verbose = false;
int NumMyEquations = 10000;
int NumGlobalEquations = (NumMyEquations * NumProc) + EPETRA_MIN(NumProc,3);
if(MyPID < 3)
NumMyEquations++;
// Construct a Map that puts approximately the same Number of equations on each processor
Epetra_Map Map(NumGlobalEquations, NumMyEquations, 0, Comm);
// Get update list and number of local equations from newly created Map
vector<int> MyGlobalElements(Map.NumMyElements());
Map.MyGlobalElements(&MyGlobalElements[0]);
// Create an integer vector NumNz that is used to build the Petra Matrix.
// NumNz[i] is the Number of OFF-DIAGONAL term for the ith global equation on this processor
vector<int> NumNz(NumMyEquations);
// We are building a tridiagonal matrix where each row has (-1 2 -1)
// So we need 2 off-diagonal terms (except for the first and last equation)
for(i = 0; i < NumMyEquations; i++)
if((MyGlobalElements[i] == 0) || (MyGlobalElements[i] == NumGlobalEquations - 1))
NumNz[i] = 1;
else
NumNz[i] = 2;
// Create a Epetra_Matrix
Epetra_CrsMatrix A(Copy, Map, &NumNz[0]);
EPETRA_TEST_ERR(A.IndicesAreGlobal(),ierr);
EPETRA_TEST_ERR(A.IndicesAreLocal(),ierr);
// Add rows one-at-a-time
// Need some vectors to help
// Off diagonal Values will always be -1
vector<double> Values(2);
Values[0] = -1.0;
Values[1] = -1.0;
vector<int> Indices(2);
double two = 2.0;
int NumEntries;
forierr = 0;
for(i = 0; i < NumMyEquations; i++) {
if(MyGlobalElements[i] == 0) {
Indices[0] = 1;
NumEntries = 1;
}
else if (MyGlobalElements[i] == NumGlobalEquations-1) {
Indices[0] = NumGlobalEquations-2;
NumEntries = 1;
}
else {
Indices[0] = MyGlobalElements[i]-1;
Indices[1] = MyGlobalElements[i]+1;
NumEntries = 2;
}
forierr += !(A.InsertGlobalValues(MyGlobalElements[i], NumEntries, &Values[0], &Indices[0])==0);
forierr += !(A.InsertGlobalValues(MyGlobalElements[i], 1, &two, &MyGlobalElements[i])>0); // Put in the diagonal entry
}
EPETRA_TEST_ERR(forierr,ierr);
// Finish up
A.FillComplete();
A.OptimizeStorage();
HYPRE_IJMatrix Matrix;
int ilower = Map.MinMyGID();
int iupper = Map.MaxMyGID();
//printf("Proc[%d], ilower = %d, iupper = %d.\n", MyPID, ilower, iupper);
HYPRE_IJMatrixCreate(MPI_COMM_WORLD, ilower, iupper, ilower, iupper, &Matrix);
HYPRE_IJMatrixSetObjectType(Matrix, HYPRE_PARCSR);
HYPRE_IJMatrixInitialize(Matrix);
for(i = 0; i < A.NumMyRows(); i++){
int numElements;
A.NumMyRowEntries(i, numElements);
vector<int> my_indices; my_indices.resize(numElements);
vector<double> my_values; my_values.resize(numElements);
int numEntries;
A.ExtractMyRowCopy(i, numElements, numEntries, &my_values[0], &my_indices[0]);
for(int j = 0; j < numEntries; j++) {
my_indices[j] = A.GCID(my_indices[j]);
}
int GlobalRow[1];
GlobalRow[0] = A.GRID(i);
HYPRE_IJMatrixSetValues(Matrix, 1, &numEntries, GlobalRow, &my_indices[0], &my_values[0]);
}
HYPRE_IJMatrixAssemble(Matrix);
EpetraExt_HypreIJMatrix JadA(Matrix);
JadA.SetMaps(JadA.RowMatrixRowMap(), A.RowMatrixColMap());
// Create vectors for Power method
Epetra_Vector q(Map);
Epetra_Vector z(Map); z.Random();
Epetra_Vector resid(Map);
Epetra_Flops flopcounter;
A.SetFlopCounter(flopcounter);
q.SetFlopCounter(A);
z.SetFlopCounter(A);
resid.SetFlopCounter(A);
JadA.SetFlopCounter(A);
if (verbose) cout << "=======================================" << endl
<< "Testing Jad using CrsMatrix as input..." << endl
<< "=======================================" << endl;
A.ResetFlops();
powerMethodTests(A, JadA, Map, q, z, resid, verbose);
#ifdef EPETRA_MPI
MPI_Finalize() ;
#endif
return ierr ;
}