1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
|
//------------------------------------------------------------------------------
// GB_AxB_colscale_template: C=A*D where D is a square diagonal matrix
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// This template is not used If C is iso, since all that is needed is to create
// C as a shallow-copy of the pattern of A.
// A and C can be jumbled. D cannot, but it is a diagonal matrix so it is
// never jumbled.
{
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
ASSERT (GB_JUMBLED_OK (C)) ;
ASSERT (GB_JUMBLED_OK (A)) ;
ASSERT (!GB_JUMBLED (D)) ;
ASSERT (!C->iso) ;
//--------------------------------------------------------------------------
// get C, A, and D
//--------------------------------------------------------------------------
const int64_t *restrict Ap = A->p ;
const int64_t *restrict Ah = A->h ;
#if !GB_A_IS_PATTERN
const GB_ATYPE *restrict Ax = (GB_ATYPE *) A->x ;
#endif
#if !GB_B_IS_PATTERN
const GB_BTYPE *restrict Dx = (GB_BTYPE *) D->x ;
#endif
const int64_t avlen = A->vlen ;
const bool A_iso = A->iso ;
const bool D_iso = D->iso ;
const int64_t *restrict kfirst_Aslice = A_ek_slicing ;
const int64_t *restrict klast_Aslice = A_ek_slicing + A_ntasks ;
const int64_t *restrict pstart_Aslice = A_ek_slicing + A_ntasks * 2 ;
//--------------------------------------------------------------------------
// C=A*D
//--------------------------------------------------------------------------
int tid ;
#pragma omp parallel for num_threads(A_nthreads) schedule(dynamic,1)
for (tid = 0 ; tid < A_ntasks ; tid++)
{
// if kfirst > klast then task tid does no work at all
int64_t kfirst = kfirst_Aslice [tid] ;
int64_t klast = klast_Aslice [tid] ;
//----------------------------------------------------------------------
// C(:,kfirst:klast) = A(:,kfirst:klast)*D(kfirst:klast,kfirst:klast)
//----------------------------------------------------------------------
for (int64_t k = kfirst ; k <= klast ; k++)
{
//------------------------------------------------------------------
// find the part of A(:,k) and C(:,k) to be operated on by this task
//------------------------------------------------------------------
int64_t j = GBH (Ah, k) ;
int64_t pA_start, pA_end ;
GB_get_pA (&pA_start, &pA_end, tid, k,
kfirst, klast, pstart_Aslice, Ap, avlen) ;
//------------------------------------------------------------------
// C(:,j) = A(:,j)*D(j,j)
//------------------------------------------------------------------
GB_GETB (djj, Dx, j, D_iso) ; // djj = D (j,j)
GB_PRAGMA_SIMD_VECTORIZE
for (int64_t p = pA_start ; p < pA_end ; p++)
{
GB_GETA (aij, Ax, p, A_iso) ; // aij = A(i,j)
GB_BINOP (GB_CX (p), aij, djj, 0, 0) ; // C(i,j) = aij * djj
}
}
}
}
|