PDPOTRS(l)
π PDPOTRS π
okay bestie, so this is PDPOTRS from the LAPACK crew β it's a routine in the l manual, and it's here to solve a linear system for you. Let's get into it, no cap. π¦
β¨ NAME β¨
PDPOTRS β solves a system of linear equations
sub( A ) * X = sub( B )
A(IA:IA+N-1,JA:JA+N-1)*X = B(IB:IB+N-1,JB:JB+NRHS-1)
πΈ SYNOPSIS πΈ
SUBROUTINE PDPOTRS( UPLO, N, NRHS, A, IA, JA, DESCA, B, IB, JB, DESCB,
INFO )
CHARACTER UPLO
INTEGER IA, IB, INFO, JA, JB, N, NRHS
INTEGER DESCA( * ), DESCB( * )
DOUBLE PRECISION A( * ), B( * )
π PURPOSE π
PDPOTRS solves a system of linear equations
where sub( A ) denotes A(IA:IA+N-1,JA:JA+N-1) and is a N-by-N symmetric positive definite distributed matrix using the Cholesky factorization sub( A ) = U**T*U or L*L**T computed by PDPOTRF. And sub( B ) denotes the distributed matrix B(IB:IB+N-1,JB:JB+NRHS-1). π«Ά
π§ Notes π§
Each global data object is described by an associated description vector. This vector stores the info you need to establish the mapping between an object element and its corresponding process and memory location. iykyk π
Let A be a generic term for any 2D block cyclicly distributed array. Such a global array has an associated description vector DESCA. In the following comments, the character _ should be read as "of the global array".
DTYPE_A(global), stored inDESCA( DTYPE_ )β the descriptor type. In this case,DTYPE_A = 1.CTXT_A(global), stored inDESCA( CTXT_ )β the BLACS context handle, indicating the BLACS process grid A is distributed over. The context itself is global, but the handle (the integer value) may vary.M_A(global), stored inDESCA( M_ )β the number of rows in the global array A.N_A(global), stored inDESCA( N_ )β the number of columns in the global array A.MB_A(global), stored inDESCA( MB_ )β the blocking factor used to distribute the rows of the array.NB_A(global), stored inDESCA( NB_ )β the blocking factor used to distribute the columns of the array.RSRC_A(global), stored inDESCA( RSRC_ )β the process row over which the first row of the array A is distributed.CSRC_A(global), stored inDESCA( CSRC_ )β the process column over which the first column of the array A is distributed.LLD_A(local), stored inDESCA( LLD_ )β the leading dimension of the local array.LLD_A >= MAX(1,LOCr(M_A)).
Let K be the number of rows or columns of a distributed matrix, and assume that its process grid has dimension p x q.
LOCr( K ) denotes the number of elements of K that a process would receive if K were distributed over the p processes of its process column.
Similarly, LOCc( K ) denotes the number of elements of K that a process would receive if K were distributed over the q processes of its process row.
The values of LOCr() and LOCc() may be determined via a call to the ScaLAPACK tool function, NUMROC:
LOCr( M ) = NUMROC( M, MB_A, MYROW, RSRC_A, NPROW ),
LOCc( N ) = NUMROC( N, NB_A, MYCOL, CSRC_A, NPCOL ).
An upper bound for these quantities may be computed by:
LOCr( M ) <= ceil( ceil(M/MB_A)/NPROW )*MB_A
LOCc( N ) <= ceil( ceil(N/NB_A)/NPCOL )*NB_A
β οΈ heads up bestie: this routine requires square block decomposition (MB_A = NB_A). no exceptions, periodt.
π ARGUMENTS π
UPLO(global input) CHARACTER= 'U': Upper triangle ofsub( A )is stored;= 'L': Lower triangle ofsub( A )is stored.
N(global input) INTEGER β the number of rows and columns to be operated on, i.e. the order of the distributed submatrixsub( A ).N >= 0.NRHS(global input) INTEGER β the number of right hand sides, i.e., the number of columns of the distributed submatrixsub( B ).NRHS >= 0.A(local input) DOUBLE PRECISION pointer into local memory to an array of dimension(LLD_A, LOCc(JA+N-1)). On entry, this array contains the factors L or U from the Cholesky factorizationsub( A ) = L*L**TorU**T*U, as computed byPDPOTRF.IA(global input) INTEGER β the row index in the global array A indicating the first row ofsub( A ).JA(global input) INTEGER β the column index in the global array A indicating the first column ofsub( A ).DESCA(global and local input) INTEGER array of dimensionDLEN_. The array descriptor for the distributed matrix A.B(local input/local output) DOUBLE PRECISION pointer into the local memory to an array of local dimension(LLD_B,LOCc(JB+NRHS-1)). On entry, this array contains the the local pieces of the right hand sidessub( B ). On exit, this array contains the local pieces of the solution distributed matrix X.IB(global input) INTEGER β the row index in the global array B indicating the first row ofsub( B ).JB(global input) INTEGER β the column index in the global array B indicating the first column ofsub( B ).DESCB(global and local input) INTEGER array of dimensionDLEN_. The array descriptor for the distributed matrix B.INFO(global output) INTEGER= 0: successful exit π< 0: If the i-th argument is an array and the j-entry had an illegal value, thenINFO = -(i*100+j), if the i-th argument is a scalar and had an illegal value, thenINFO = -i.
that's the whole thing, bestie β you ate that. this one's from LAPACK version 1.5, dated 12 May 1997. iconic behavior fr fr πβ¨π
π¦ where this page comes from
- ubuntu jammy: scalapack-doc 1.5-11
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash on : a language model's rewrite of the original, under its terms