PSPOTRI(l)
π PSPOTRI(l) π
okay bestie, welcome to the PSPOTRI(l) page β she's a LAPACK routine, version 1.5, and she is highkey a ScaLAPACK icon. grab a snack, we're inverting matrices π
β¨ NAME β¨
pspotri β computes the inverse of a real symmetric positive definite distributed matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1) using the Cholesky factorization sub( A ) = U**T*U or L*L**T computed by PSPOTRF. periodt.
πΈ SYNOPSIS πΈ
SUBROUTINE PSPOTRI( UPLO, N, A, IA, JA, DESCA, INFO )
CHARACTER UPLO
INTEGER IA, INFO, JA, N
INTEGER DESCA( * )
REAL A( * )
π¦ PURPOSE π¦
PSPOTRI computes the inverse of a real symmetric positive definite distributed matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1) using the Cholesky factorization sub( A ) = U**T*U or L*L**T computed by PSPOTRF. literally the glow-up of a Cholesky factor into a full inverse, no cap π
π Notes (the descriptor lore, do not skip)
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 notation cheat sheet, bestie, memorise it and you're set π
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 grid A is 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 ARGUMENTS π
UPLO(global input)CHARACTER*1= 'U': Upper triangle ofsub( A )is stored;= 'L': Lower triangle ofsub( A )is stored.
N(global input)INTEGERβ the number of rows and columns to be operated on, i.e. the order of the distributed submatrixsub( A ).N >= 0. π«ΆA(local input/local output)REALpointer into the local memory to an array of dimension(LLD_A, LOCc(JA+N-1)). On entry, the local pieces of the triangular factorUorLfrom the Cholesky factorization of the distributed matrixsub( A ) = U**T*UorL*L**T, as computed byPSPOTRF. On exit, the local pieces of the upper or lower triangle of the (symmetric) inverse ofsub( A ), overwriting the input factorUorL. she eats the factor and leaves an inverse behind, iconic behaviour πIA(global input)INTEGERβ the row index in the global arrayAindicating the first row ofsub( A ).JA(global input)INTEGERβ the column index in the global arrayAindicating the first column ofsub( A ).DESCA(global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixA.INFO(global output)INTEGERβ the receipts, bestie:= 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 = i, the(i,i)element of the factorUorLis zero, and the inverse could not be computed. that's a yikes, the inverse is simply not happening π
ngl the< 0and> 0branches are the vibe check at the end β always readINFObefore you trust the output, fr fr.
written by the LAPACK girlies, LAPACK version 1.5, dated 12 May 1997 β she's been slaying since '97 and she's still serving 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