PDPOSV(l)
π PDPOSV π
okay bestie, sit down, hydrate, because we're doing PDPOSV β that's the LAPACK routine, the (l) in PDPOSV(l) is literally just the LAPACK manual section, no cap. Version 1.5, iconic behavior only. π
β¨ NAME β¨
PDPOSV β compute the solution to a real system of linear equations sub( A ) * X = sub( B ), π¦
πΈ SYNOPSIS πΈ
SUBROUTINE PDPOSV( 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( * )
like... look at her. so structured. so slay. π
π PURPOSE π
PDPOSV computes the solution to a real system of linear equations
where sub( A ) denotes A(IA:IA+N-1,JA:JA+N-1) and is an N-by-N symmetric distributed positive definite matrix, and X and sub( B ) β with sub( B ) denoting B(IB:IB+N-1,JB:JB+NRHS-1) β are N-by-NRHS distributed matrices.
The Cholesky decomposition is used to factor sub( A ) as
sub( A ) = U**T * U, if UPLO = 'U', or
sub( A ) = L * L**T, if UPLO = 'L',
where U is an upper triangular matrix and L is a lower triangular matrix. The factored form of sub( A ) is then used to solve the system of equations. it's giving "factor first, solve second," and honestly? queen shit. β¨
π§ Notes π§
Each global data object is described by an associated description vector. This vector stores the information required to establish the mapping between an object element and its corresponding process and memory location.
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".
Here's the whole lore, itemized because we do not do tables in this house (but every single detail is here, fr fr):
DTYPE_A(global) β stored inDESCA( DTYPE_ ): the descriptor type. In this case,DTYPE_A = 1.CTXT_A(global) β stored inDESCA( CTXT_ ): the BLACS context handle, indicating the BLACS process gridAis distributed over. The context itself is global, but the handle (the integer value) may vary.M_A(global) β stored inDESCA( M_ ): the number of rows in the global arrayA.N_A(global) β stored inDESCA( N_ ): the number of columns in the global arrayA.MB_A(global) β stored inDESCA( MB_ ): the blocking factor used to distribute the rows of the array.NB_A(global) β stored inDESCA( NB_ ): the blocking factor used to distribute the columns of the array.RSRC_A(global) β stored inDESCA( RSRC_ ): the process row over which the first row of the arrayAis distributed.CSRC_A(global) β stored inDESCA( CSRC_ ): the process column over which the first column of the arrayAis distributed.LLD_A(local) β stored inDESCA( LLD_ ): 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
π¨ This routine requires square block decomposition ( MB_A = NB_A ). π¨ like, that's not a suggestion, bestie, that's the vibe check and you WILL pass it.
π ARGUMENTS π
UPLOβ (global input)CHARACTER= 'U': Upper triangle ofsub( A )is stored;= 'L': Lower triangle ofsub( A )is stored.
Nβ (global input)INTEGERThe number of rows and columns to be operated on, i.e. the order of the distributed submatrixsub( A ).N >= 0. π«ΆNRHSβ (global input)INTEGERThe number of right hand sides, i.e. the number of columns of the distributed submatrixsub( B ).NRHS >= 0. (the more the merrier honestly)Aβ (local input/local output)DOUBLE PRECISIONpointer into the local memory to an array of dimension(LLD_A, LOCc(JA+N-1)). On entry, this array contains the local pieces of the N-by-N symmetric distributed matrixsub( A )to be factored. IfUPLO = 'U', the leading N-by-N upper triangular part ofsub( A )contains the upper triangular part of the matrix, and its strictly lower triangular part is not referenced. IfUPLO = 'L', the leading N-by-N lower triangular part ofsub( A )contains the lower triangular part of the distributed matrix, and its strictly upper triangular part is not referenced. On exit, ifINFO = 0, this array contains the local pieces of the factorUorLfrom the Cholesky factorizationsub( A ) = U**T*UorL*L**T. β¨ glow up on exit, literally.IAβ (global input)INTEGERThe row index in the global arrayAindicating the first row ofsub( A ).JAβ (global input)INTEGERThe column index in the global arrayAindicating the first column ofsub( A ).DESCAβ (global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixA.Bβ (local input/local output)DOUBLE PRECISIONpointer into the local memory to an array of dimension(LLD_B,LOC(JB+NRHS-1)). On entry, the local pieces of the right hand sides distributed matrixsub( B ). On exit, ifINFO = 0,sub( B )is overwritten with the solution distributed matrixX. π she contains multitudes and then she contains your answer.IBβ (global input)INTEGERThe row index in the global arrayBindicating the first row ofsub( B ).JBβ (global input)INTEGERThe column index in the global arrayBindicating the first column ofsub( B ).DESCBβ (global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixB.INFOβ (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.> 0: IfINFO = K, the leading minor of orderK,A(IA:IA+K-1,JA:JA+K-1)is not positive definite, and the factorization could not be completed, and the solution has not been computed. π no solution for you, the minor said no.
okay that's the whole thing, you ate that. π
cute lil sign-off: this is LAPACK version 1.5, dated 12 May 1997 β yes she's a vintage queen and she still runs the grid. periodt. ππ
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