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symv_bsr_u_lo_conj.hpp
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152 lines (150 loc) · 5.3 KB
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#include "alphasparse/kernel.h"
#include "alphasparse/compute.h"
#include "stdio.h"
#include <stdlib.h>
#include <string.h>
#include "alphasparse/util.h"
template <typename TYPE>
alphasparseStatus_t
symv_bsr_u_lo_conj(const TYPE alpha,
const internal_spmat A,
const TYPE *x,
const TYPE beta,
TYPE *y)
{
ALPHA_INT bs = A->block_dim;
ALPHA_INT m_inner = A->rows/bs;
ALPHA_INT n_inner = A->cols/bs;
if(m_inner != n_inner) return ALPHA_SPARSE_STATUS_INVALID_VALUE;
TYPE *part = (TYPE*)malloc(A->rows*sizeof(TYPE));
memset(part, 0, A->rows*sizeof(TYPE));
for (ALPHA_INT j = 0; j < A->rows; j++){
part[j] = alpha_mul(y[j], beta);
//printf("part[%d].real=%f\tpart[%d].imag=%f\n",j,part[j].real,j,part[j].imag);
//part[j] = y[j]*beta;
y[j] = alpha_setzero(y[j]);
}
if (A->block_layout == ALPHA_SPARSE_LAYOUT_ROW_MAJOR)
{
ALPHA_INT diag_block = 0;
for(ALPHA_INT i = 0; i < m_inner; ++i)
{
ALPHA_INT m_s = i*bs;
for(ALPHA_INT ai = A->row_data[i]; ai < A->row_data[i+1]; ++ai)
{
const ALPHA_INT col = A->col_data[ai];
if(col < i)
{
continue;
}
else if(col == i)
{
diag_block = 1;
for (ALPHA_INT s = 0; s < bs*bs; s=s+bs){
y[m_s+s/bs] = alpha_add(y[m_s+s/bs], x[s/bs+col*bs]);
//y[m_s+s/bs] += x[s/bs+col*bs];
for (ALPHA_INT s1 = s + s/bs + 1 ; s1 < s + bs; s1++){
TYPE cv = ((TYPE *)A->val_data)[s1+ai*bs*bs];
cv = cmp_conj(cv);
y[m_s+s/bs] = alpha_madd(cv, x[s1-s+col*bs], y[m_s+s/bs]);
//y[m_s+s/bs] += ((TYPE *)A->val_data)[s1+ai*bs*bs]*x[s1-s+col*bs];
y[s1-s+col*bs] = alpha_madd(cv, x[m_s+s/bs], y[s1-s+col*bs]);
//y[s1-s+col*bs] += ((TYPE *)A->val_data)[s1+ai*bs*bs]*x[m_s+s/bs];
}
}
}
else
{
for (ALPHA_INT s = 0; s < bs*bs; s=s+bs){
for (ALPHA_INT s1 = s; s1 < s+bs; s1++){
TYPE cv = ((TYPE *)A->val_data)[s1+ai*bs*bs];
cv = cmp_conj(cv);
y[m_s+s/bs] = alpha_madd(cv, x[s1-s+col*bs], y[m_s+s/bs]);
//y[m_s+s/bs] += ((TYPE *)A->val_data)[s1+ai*bs*bs]*x[s1-s+col*bs];
y[s1-s+col*bs] = alpha_madd(cv, x[m_s+s/bs], y[s1-s+col*bs]);
}
}
}
}if (diag_block == 0){
for (ALPHA_INT st = 0; st < bs; st++){
y[m_s+st] = alpha_add(y[m_s+st], x[st+m_s]);
//y[m_s+st] += x[st+m_s];
}
}
}
//for (ALPHA_INT k = 0; k < A->rows; k++){
//printf("part[%d].real=%f\tpart[%d].imag=%f\n",k,part[k].real,k,part[k].imag);
//printf("y[%d].real=%f\ty[%d].imag=%f\n",k,y[k].real,k,y[k].imag);
//}
for(ALPHA_INT k = 0; k < A->rows; k++){
//printf("=======================================\n");
//printf("part[%d].real=%f\tpart[%d].imag=%f\n",k,part[k].real,k,part[k].imag);
//printf("y[%d].real=%f\ty[%d].imag=%f\n",k,y[k].real,k,y[k].imag);
part[k] = alpha_madd(y[k], alpha, part[k]);
//y[k].imag = part[k].imag;
y[k] = part[k];
//printf("part[%d].real=%f\tpart[%d].imag=%f\n",k,part[k].real,k,part[k].imag);
//printf("y[%d].real=%f\ty[%d].imag=%f\n",k,y[k].real,k,y[k].imag);
//printf("=======================================\n");
}
}
else if (A->block_layout == ALPHA_SPARSE_LAYOUT_COLUMN_MAJOR)
{
ALPHA_INT diag_block = 0;
for(ALPHA_INT i = 0; i < m_inner; ++i)
{
ALPHA_INT m_s = i*bs;
for(ALPHA_INT ai = A->row_data[i]; ai < A->row_data[i+1]; ++ai)
{
const ALPHA_INT col = A->col_data[ai];
if(col < i)
{
continue;
}
else if(col == i)
{
diag_block = 1;
for (ALPHA_INT s = 0; s < bs*bs; s=s+bs){
y[m_s+s/bs] = alpha_madd(alpha, x[s/bs+col*bs], y[m_s+s/bs]);
//y[m_s+s/bs] += alpha*x[s/bs+col*bs];
for (ALPHA_INT s1 = s ; s1 < s + s/bs; s1++){
TYPE cv = ((TYPE *)A->val_data)[s1+ai*bs*bs];
cv = cmp_conj(cv);
y[m_s+s1-s] = alpha_mul(alpha, cv);
y[m_s+s1-s] = alpha_mul(y[m_s+s1-s], x[col*bs+s/bs]);
//y[m_s+s1-s] += alpha*((TYPE *)A->val_data)[s1+ai*bs*bs]*x[col*bs+s/bs];
y[col*bs+s/bs] = alpha_mul(alpha, cv);
y[col*bs+s/bs] = alpha_mul(y[col*bs+s/bs], x[m_s+s1-s]);
//y[col*bs+s/bs] += alpha*((TYPE *)A->val_data)[s1+ai*bs*bs]*x[m_s+s1-s];
}
}
}
else
{
for (ALPHA_INT s = 0; s < bs*bs; s=s+bs){
for (ALPHA_INT s1 = s; s1 < s+bs; s1++){
TYPE cv = ((TYPE *)A->val_data)[s1+ai*bs*bs];
cv = cmp_conj(cv);
y[m_s+s1-s] = alpha_mul(alpha, cv);
y[m_s+s1-s] = alpha_mul(y[m_s+s1-s], x[col*bs+s/bs]);
//y[m_s+s1-s] += alpha*((TYPE *)A->val_data)[s1+ai*bs*bs]*x[col*bs+s/bs];
y[col*bs+s/bs] = alpha_mul(alpha, cv);
y[col*bs+s/bs] = alpha_mul(y[col*bs+s/bs], x[m_s+s1-s]);
//y[col*bs+s/bs] += alpha*((TYPE *)A->val_data)[s1+ai*bs*bs]*x[m_s+s1-s];
}
}
}
}if (diag_block == 0){
for (ALPHA_INT st = 0; st < bs; st++){
y[m_s+st] = alpha_madd(alpha, x[st+m_s], y[m_s+st]);
//y[m_s+st] += alpha*x[st+m_s];
}
}
}for(ALPHA_INT k = 0; k < A->rows; k++){
y[k] = alpha_add(y[k], part[k]);
//y[k] = y[k] + part[k];
}
}
else return ALPHA_SPARSE_STATUS_INVALID_VALUE;
return ALPHA_SPARSE_STATUS_SUCCESS;
}