extern "C" magma_int_t
magma_dcumiccsetup(
magma_d_matrix A,
magma_d_preconditioner *precond,
magma_queue_t queue )
{
magma_int_t info = 0;
cusparseHandle_t cusparseHandle=NULL;
cusparseMatDescr_t descrA=NULL;
cusparseMatDescr_t descrL=NULL;
cusparseMatDescr_t descrU=NULL;
#if CUDA_VERSION >= 7000
csric02Info_t info_M=NULL;
void *pBuffer = NULL;
#endif
magma_d_matrix hA={Magma_CSR}, hACSR={Magma_CSR}, U={Magma_CSR};
CHECK( magma_dmtransfer( A, &hA, A.memory_location, Magma_CPU, queue ));
U.diagorder_type = Magma_VALUE;
CHECK( magma_dmconvert( hA, &hACSR, hA.storage_type, Magma_CSR, queue ));
// in case using fill-in
if( precond->levels > 0 ){
magma_d_matrix hAL={Magma_CSR}, hAUt={Magma_CSR};
CHECK( magma_dsymbilu( &hACSR, precond->levels, &hAL, &hAUt, queue ));
magma_dmfree(&hAL, queue);
magma_dmfree(&hAUt, queue);
}
CHECK( magma_dmconvert( hACSR, &U, Magma_CSR, Magma_CSRL, queue ));
magma_dmfree( &hACSR, queue );
CHECK( magma_dmtransfer(U, &(precond->M), Magma_CPU, Magma_DEV, queue ));
// CUSPARSE context //
CHECK_CUSPARSE( cusparseCreate( &cusparseHandle ));
CHECK_CUSPARSE( cusparseSetStream( cusparseHandle, queue->cuda_stream() ));
CHECK_CUSPARSE( cusparseCreateMatDescr( &descrA ));
CHECK_CUSPARSE( cusparseCreateSolveAnalysisInfo( &(precond->cuinfo) ));
// use kernel to manually check for zeros n the diagonal
CHECK( magma_ddiagcheck( precond->M, queue ) );
#if CUDA_VERSION >= 7000
// this version has the bug fixed where a zero on the diagonal causes a crash
CHECK_CUSPARSE( cusparseCreateCsric02Info(&info_M) );
CHECK_CUSPARSE( cusparseSetMatType( descrA, CUSPARSE_MATRIX_TYPE_GENERAL ));
CHECK_CUSPARSE( cusparseSetMatIndexBase( descrA, CUSPARSE_INDEX_BASE_ZERO ));
int buffersize;
int structural_zero;
int numerical_zero;
CHECK_CUSPARSE(
cusparseDcsric02_bufferSize( cusparseHandle,
precond->M.num_rows, precond->M.nnz, descrA,
precond->M.dval, precond->M.drow, precond->M.dcol,
info_M,
&buffersize ) );
CHECK( magma_malloc((void**)&pBuffer, buffersize) );
CHECK_CUSPARSE( cusparseDcsric02_analysis( cusparseHandle,
precond->M.num_rows, precond->M.nnz, descrA,
precond->M.dval, precond->M.drow, precond->M.dcol,
info_M, CUSPARSE_SOLVE_POLICY_NO_LEVEL, pBuffer ));
CHECK_CUSPARSE( cusparseXcsric02_zeroPivot( cusparseHandle, info_M, &numerical_zero ) );
CHECK_CUSPARSE( cusparseXcsric02_zeroPivot( cusparseHandle, info_M, &structural_zero ) );
CHECK_CUSPARSE(
cusparseDcsric02( cusparseHandle,
precond->M.num_rows, precond->M.nnz, descrA,
precond->M.dval, precond->M.drow, precond->M.dcol,
info_M, CUSPARSE_SOLVE_POLICY_NO_LEVEL, pBuffer) );
#else
// this version contains the bug but is needed for backward compability
CHECK_CUSPARSE( cusparseSetMatType( descrA, CUSPARSE_MATRIX_TYPE_SYMMETRIC ));
CHECK_CUSPARSE( cusparseSetMatDiagType( descrA, CUSPARSE_DIAG_TYPE_NON_UNIT ));
CHECK_CUSPARSE( cusparseSetMatIndexBase( descrA, CUSPARSE_INDEX_BASE_ZERO ));
CHECK_CUSPARSE( cusparseSetMatFillMode( descrA, CUSPARSE_FILL_MODE_LOWER ));
CHECK_CUSPARSE( cusparseDcsrsm_analysis( cusparseHandle,
CUSPARSE_OPERATION_NON_TRANSPOSE,
precond->M.num_rows, precond->M.nnz, descrA,
precond->M.dval, precond->M.drow, precond->M.dcol,
precond->cuinfo ));
CHECK_CUSPARSE( cusparseDcsric0( cusparseHandle, CUSPARSE_OPERATION_NON_TRANSPOSE,
precond->M.num_rows, descrA,
precond->M.dval,
precond->M.drow,
precond->M.dcol,
precond->cuinfo ));
#endif
CHECK_CUSPARSE( cusparseCreateMatDescr( &descrL ));
CHECK_CUSPARSE( cusparseSetMatType( descrL, CUSPARSE_MATRIX_TYPE_TRIANGULAR ));
CHECK_CUSPARSE( cusparseSetMatDiagType( descrL, CUSPARSE_DIAG_TYPE_NON_UNIT ));
CHECK_CUSPARSE( cusparseSetMatIndexBase( descrL, CUSPARSE_INDEX_BASE_ZERO ));
CHECK_CUSPARSE( cusparseSetMatFillMode( descrL, CUSPARSE_FILL_MODE_LOWER ));
CHECK_CUSPARSE( cusparseCreateSolveAnalysisInfo( &precond->cuinfoL ));
CHECK_CUSPARSE( cusparseDcsrsm_analysis( cusparseHandle,
CUSPARSE_OPERATION_NON_TRANSPOSE, precond->M.num_rows,
precond->M.nnz, descrL,
precond->M.dval, precond->M.drow, precond->M.dcol, precond->cuinfoL ));
CHECK_CUSPARSE( cusparseCreateMatDescr( &descrU ));
CHECK_CUSPARSE( cusparseSetMatType( descrU, CUSPARSE_MATRIX_TYPE_TRIANGULAR ));
CHECK_CUSPARSE( cusparseSetMatDiagType( descrU, CUSPARSE_DIAG_TYPE_NON_UNIT ));
CHECK_CUSPARSE( cusparseSetMatIndexBase( descrU, CUSPARSE_INDEX_BASE_ZERO ));
CHECK_CUSPARSE( cusparseSetMatFillMode( descrU, CUSPARSE_FILL_MODE_LOWER ));
CHECK_CUSPARSE( cusparseCreateSolveAnalysisInfo( &precond->cuinfoU ));
CHECK_CUSPARSE( cusparseDcsrsm_analysis( cusparseHandle,
CUSPARSE_OPERATION_TRANSPOSE, precond->M.num_rows,
precond->M.nnz, descrU,
precond->M.dval, precond->M.drow, precond->M.dcol, precond->cuinfoU ));
if( precond->maxiter < 50 ){
//prepare for iterative solves
// copy the matrix to precond->L and (transposed) to precond->U
CHECK( magma_dmtransfer(precond->M, &(precond->L), Magma_DEV, Magma_DEV, queue ));
CHECK( magma_dmtranspose( precond->L, &(precond->U), queue ));
// extract the diagonal of L into precond->d
CHECK( magma_djacobisetup_diagscal( precond->L, &precond->d, queue ));
CHECK( magma_dvinit( &precond->work1, Magma_DEV, hA.num_rows, 1, MAGMA_D_ZERO, queue ));
// extract the diagonal of U into precond->d2
CHECK( magma_djacobisetup_diagscal( precond->U, &precond->d2, queue ));
CHECK( magma_dvinit( &precond->work2, Magma_DEV, hA.num_rows, 1, MAGMA_D_ZERO, queue ));
}
/*
// to enable also the block-asynchronous iteration for the triangular solves
CHECK( magma_dmtransfer( precond->M, &hA, Magma_DEV, Magma_CPU, queue ));
hA.storage_type = Magma_CSR;
magma_d_matrix hD, hR, hAt
CHECK( magma_dcsrsplit( 256, hA, &hD, &hR, queue ));
CHECK( magma_dmtransfer( hD, &precond->LD, Magma_CPU, Magma_DEV, queue ));
CHECK( magma_dmtransfer( hR, &precond->L, Magma_CPU, Magma_DEV, queue ));
magma_dmfree(&hD, queue );
magma_dmfree(&hR, queue );
CHECK( magma_d_cucsrtranspose( hA, &hAt, queue ));
CHECK( magma_dcsrsplit( 256, hAt, &hD, &hR, queue ));
CHECK( magma_dmtransfer( hD, &precond->UD, Magma_CPU, Magma_DEV, queue ));
CHECK( magma_dmtransfer( hR, &precond->U, Magma_CPU, Magma_DEV, queue ));
magma_dmfree(&hD, queue );
magma_dmfree(&hR, queue );
magma_dmfree(&hA, queue );
magma_dmfree(&hAt, queue );
*/
cleanup:
#if CUDA_VERSION >= 7000
magma_free( pBuffer );
cusparseDestroyCsric02Info( info_M );
#endif
cusparseDestroySolveAnalysisInfo( precond->cuinfo );
cusparseDestroyMatDescr( descrL );
cusparseDestroyMatDescr( descrU );
cusparseDestroyMatDescr( descrA );
cusparseDestroy( cusparseHandle );
magma_dmfree(&U, queue );
magma_dmfree(&hA, queue );
return info;
}
magma_int_t
magma_dsymbilu(
magma_d_matrix *A,
magma_int_t levels,
magma_d_matrix *L,
magma_d_matrix *U,
magma_queue_t queue )
{
magma_int_t info = 0;
magma_d_matrix A_copy={Magma_CSR}, B={Magma_CSR};
magma_d_matrix hA={Magma_CSR}, CSRCOOA={Magma_CSR};
if( A->memory_location == Magma_CPU && A->storage_type == Magma_CSR ){
CHECK( magma_dmtransfer( *A, &A_copy, Magma_CPU, Magma_CPU, queue ));
CHECK( magma_dmtransfer( *A, &B, Magma_CPU, Magma_CPU, queue ));
// possibility to scale to unit diagonal
//magma_dmscale( &B, Magma_UNITDIAG );
CHECK( magma_dmconvert( B, L, Magma_CSR, Magma_CSR , queue));
CHECK( magma_dmconvert( B, U, Magma_CSR, Magma_CSR, queue ));
magma_int_t num_lnnz = (levels > 0 ) ? B.nnz/2*(2*levels+50) : B.nnz;
magma_int_t num_unnz = (levels > 0 ) ? B.nnz/2*(2*levels+50) : B.nnz;
magma_free_cpu( L->col );
magma_free_cpu( U->col );
CHECK( magma_index_malloc_cpu( &L->col, num_lnnz ));
CHECK( magma_index_malloc_cpu( &U->col, num_unnz ));
magma_dsymbolic_ilu( levels, A->num_rows, &num_lnnz, &num_unnz, B.row, B.col,
L->row, L->col, U->row, U->col );
L->nnz = num_lnnz;
U->nnz = num_unnz;
magma_free_cpu( L->val );
magma_free_cpu( U->val );
CHECK( magma_dmalloc_cpu( &L->val, L->nnz ));
CHECK( magma_dmalloc_cpu( &U->val, U->nnz ));
for( magma_int_t i=0; i<L->nnz; i++ )
L->val[i] = MAGMA_D_MAKE( 0.0, 0.0 );
for( magma_int_t i=0; i<U->nnz; i++ )
U->val[i] = MAGMA_D_MAKE( 0.0, 0.0 );
// take the original values (scaled) as initial guess for L
for(magma_int_t i=0; i<L->num_rows; i++){
for(magma_int_t j=B.row[i]; j<B.row[i+1]; j++){
magma_index_t lcol = B.col[j];
for(magma_int_t k=L->row[i]; k<L->row[i+1]; k++){
if( L->col[k] == lcol ){
L->val[k] = B.val[j];
}
}
}
}
// take the original values (scaled) as initial guess for U
for(magma_int_t i=0; i<U->num_rows; i++){
for(magma_int_t j=B.row[i]; j<B.row[i+1]; j++){
magma_index_t lcol = B.col[j];
for(magma_int_t k=U->row[i]; k<U->row[i+1]; k++){
if( U->col[k] == lcol ){
U->val[k] = B.val[j];
}
}
}
}
magma_dmfree( &B, queue );
// fill A with the new structure;
magma_free_cpu( A->col );
magma_free_cpu( A->val );
CHECK( magma_index_malloc_cpu( &A->col, L->nnz+U->nnz ));
CHECK( magma_dmalloc_cpu( &A->val, L->nnz+U->nnz ));
A->nnz = L->nnz+U->nnz;
magma_int_t z = 0;
for(magma_int_t i=0; i<A->num_rows; i++){
A->row[i] = z;
for(magma_int_t j=L->row[i]; j<L->row[i+1]; j++){
A->col[z] = L->col[j];
A->val[z] = L->val[j];
z++;
}
for(magma_int_t j=U->row[i]; j<U->row[i+1]; j++){
A->col[z] = U->col[j];
A->val[z] = U->val[j];
z++;
}
}
A->row[A->num_rows] = z;
// reset the values of A to the original entries
for(magma_int_t i=0; i<A->num_rows; i++){
for(magma_int_t j=A_copy.row[i]; j<A_copy.row[i+1]; j++){
magma_index_t lcol = A_copy.col[j];
for(magma_int_t k=A->row[i]; k<A->row[i+1]; k++){
if( A->col[k] == lcol ){
A->val[k] = A_copy.val[j];
}
}
}
}
}
else {
magma_storage_t A_storage = A->storage_type;
magma_location_t A_location = A->memory_location;
CHECK( magma_dmtransfer( *A, &hA, A->memory_location, Magma_CPU, queue ));
CHECK( magma_dmconvert( hA, &CSRCOOA, hA.storage_type, Magma_CSR, queue ));
CHECK( magma_dsymbilu( &CSRCOOA, levels, L, U, queue ));
magma_dmfree( &hA, queue );
magma_dmfree( A, queue );
CHECK( magma_dmconvert( CSRCOOA, &hA, Magma_CSR, A_storage, queue ));
CHECK( magma_dmtransfer( hA, A, Magma_CPU, A_location, queue ));
}
cleanup:
if( info != 0 ){
magma_dmfree( L, queue );
magma_dmfree( U, queue );
}
magma_dmfree( &A_copy, queue );
magma_dmfree( &B, queue );
magma_dmfree( &hA, queue );
magma_dmfree( &CSRCOOA, queue );
return info;
}
