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/*
-- MAGMA (version 2.9.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2025
@generated from sparse/control/magma_zmdiagdom.cpp, normal z -> c, Wed Jan 22 14:42:28 2025
@author Hartwig Anzt
*/
#include "magmasparse_internal.h"
/***************************************************************************//**
Purpose
-------
This routine takes a CSR matrix and computes the average diagonal dominance.
For each row i, it computes the abs(d_ii)/sum_j(abs(a_ij)).
It returns max, min, and average.
Arguments
---------
@param[in]
M magma_c_matrix
System matrix.
@param[out]
*min_dd float
Smallest diagonal dominance.
@param[out]
*max_dd float
Largest diagonal dominance.
@param[out]
*avg_dd float
Average diagonal dominance.
@param[in]
queue magma_queue_t
Queue to execute in.
@ingroup magmasparse_caux
********************************************************************/
extern "C" magma_int_t
magma_cmdiagdom(
magma_c_matrix M,
float *min_dd,
float *max_dd,
float *avg_dd,
magma_queue_t queue )
{
magma_int_t info = 0;
*min_dd = 0.0;
*max_dd = 0.0;
*avg_dd = 0.0;
magma_int_t count = 0;
magma_s_matrix x={Magma_CSR};
magma_c_matrix A={Magma_CSR};
CHECK( magma_cmtransfer( M, &A, M.memory_location, Magma_CPU, queue ));
CHECK( magma_svinit( &x, Magma_CPU, A.num_rows, 1, 0.0, queue ) );
#pragma omp parallel for
for( magma_int_t i=0; i<A.num_rows; i++ ){
float diag = 0.0;
float offdiag = 0.0;
for( magma_int_t j=A.row[i]; j<A.row[i+1]; j++ ){
float val = MAGMA_C_ABS( A.val[j] );
if( A.col[j] == i ){
diag += val;
} else {
offdiag += val;
}
}
x.val[i] = offdiag / diag;
}
*min_dd = 1e10;
*max_dd = 0.0;
*avg_dd =0.0;
for(magma_int_t i=0; i<A.num_rows; i++ ){
if( x.val[i] < 0.0 ){
;
} else {
*min_dd = ( x.val[i] < *min_dd ) ? x.val[i] : *min_dd;
*max_dd = ( x.val[i] > *max_dd ) ? x.val[i] : *max_dd;
*avg_dd += x.val[i];
count++;
}
}
*avg_dd = *avg_dd / ( (float) count );
cleanup:
magma_smfree(&x, queue );
magma_cmfree(&A, queue );
return info;
}
/***************************************************************************//**
Purpose
-------
This routine takes a CSR matrix and computes the average block-diagonal
dominance.
For each row i, it computes the abs( D_(i,:) ) / abs( A(i,:) \ D_(i,:) ).
It returns max, min, and average.
The input vector bsz contains the blocksizes.
Arguments
---------
@param[in]
M magma_c_matrix
System matrix.
@param[in]
blocksizes magma_c_matrix
Vector containing blocksizes (as DoubleComplex).
@param[out]
*min_dd float
Smallest diagonal dominance.
@param[out]
*max_dd float
Largest diagonal dominance.
@param[out]
*avg_dd float
Average diagonal dominance.
@param[in]
queue magma_queue_t
Queue to execute in.
@ingroup magmasparse_caux
********************************************************************/
extern "C" magma_int_t
magma_cmbdiagdom(
magma_c_matrix M,
magma_c_matrix blocksizes,
float *min_dd,
float *max_dd,
float *avg_dd,
magma_queue_t queue )
{
magma_int_t info = 0;
magma_int_t *end=NULL, *start=NULL;
magma_int_t ii=0;
magma_int_t count = 0;
magma_int_t rowbsz = 0; //blocksize for this row
*min_dd = 0.0;
*max_dd = 0.0;
*avg_dd = 0.0;
magma_s_matrix x={Magma_CSR};
magma_c_matrix bsz={Magma_CSR};
magma_c_matrix A={Magma_CSR};
CHECK( magma_cmtransfer( M, &A, M.memory_location, Magma_CPU, queue ));
CHECK( magma_cmtransfer( blocksizes, &bsz, blocksizes.memory_location, Magma_CPU, queue ));
CHECK( magma_svinit( &x, Magma_CPU, A.num_rows, 1, 0.0, queue ) );
CHECK( magma_imalloc_cpu( &start, A.num_rows ));
CHECK( magma_imalloc_cpu( &end, A.num_rows ));
for( magma_int_t rowb=0; rowb<bsz.num_rows; rowb++ ){ // block of rows
rowbsz = (magma_int_t) MAGMA_C_REAL((bsz.val[rowb]));
for( magma_int_t j =0; j<rowbsz; j++){
start[ii] = ii-j;
end[ii] = ii+rowbsz-j;
//printf("%d: %d -- %d\n", ii, start[ii], end[ii]);
ii++;
}
}
#pragma omp parallel for
for(magma_int_t i=0; i<A.num_rows; i++ ){
float diag = 0.0;
float offdiag = 0.0;
for( magma_int_t j=A.row[i]; j<A.row[i+1]; j++ ){
float val = MAGMA_C_ABS( A.val[j] );
if( ((A.col[j] >= start[i]) && (A.col[j]<end[i])) ){
diag += val;
} else {
offdiag += val;
}
}
x.val[i] = offdiag / diag;
}
*min_dd = 1e10;
*max_dd = 0.0;
*avg_dd =0.0;
count = 0;
for(magma_int_t i=0; i<A.num_rows; i++ ){
if( x.val[i] < 0.0 ){
;
} else {
*min_dd = ( x.val[i] < *min_dd ) ? x.val[i] : *min_dd;
*max_dd = ( x.val[i] > *max_dd ) ? x.val[i] : *max_dd;
*avg_dd += x.val[i];
count++;
}
}
*avg_dd = *avg_dd / ( (float) count );
cleanup:
magma_smfree(&x, queue );
magma_cmfree(&bsz, queue );
magma_cmfree(&A, queue );
magma_free_cpu( start );
magma_free_cpu( end );
return info;
}
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