PSPORFS(l)
π PSPORFS π
okay bestie, welcome to PSPORFS(l) β a LAPACK routine, version 1.5, and she's that girl. pull up a chair, we're doing linear algebra and we're doing it cutely. π
β¨ NAME β¨
PSPORFS β improve the computed solution to a system of linear equations when the coefficient matrix is symmetric positive definite, and provides error bounds and backward error estimates for the solutions. no cap. π¦
π SYNOPSIS π
SUBROUTINE PSPORFS( UPLO, N, NRHS, A, IA, JA, DESCA, AF, IAF, JAF,
DESCAF, B, IB, JB, DESCB, X, IX, JX, DESCX, FERR,
BERR, WORK, LWORK, IWORK, LIWORK, INFO )
CHARACTER UPLO
INTEGER IA, IAF, IB, INFO, IX, JA, JAF, JB, JX, LIWORK,
LWORK, N, NRHS
INTEGER DESCA( * ), DESCAF( * ), DESCB( * ), DESCX( * ),
IWORK( * )
REAL A( * ), AF( * ), B( * ), BERR( * ), FERR( * ), WORK(
* ), X( * )
π PURPOSE π
PSPORFS improves the computed solution to a system of linear equations when the coefficient matrix is symmetric positive definite, and provides error bounds and backward error estimates for the solutions. literally her whole job and she ate. π
π Notes π
Every global data object is described by an associated description vector. That vector stores the info you need to establish the mapping between an object element and its corresponding process and memory location. iykyk. β¨
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". π«Ά
DTYPE_A(global) β stored inDESCA( DTYPE_ )β the descriptor type. In this case,DTYPE_A = 1.CTXT_A(global) β 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) β stored inDESCA( M_ )β the number of rows in the global arrayA.N_A(global) β stored inDESCA( N_ )β the number of columns in the global arrayA.MB_A(global) β stored inDESCA( MB_ )β the blocking factor used to distribute the rows of the array.NB_A(global) β stored inDESCA( NB_ )β the blocking factor used to distribute the columns of the array.RSRC_A(global) β stored inDESCA( RSRC_ )β the process row over which the first row of the arrayAis distributed.CSRC_A(global) β stored inDESCA( CSRC_ )β the process column over which the first column of the arrayAis distributed.LLD_A(local) β 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
In the following comments, sub( A ), sub( X ) and sub( B ) denote respectively A(IA:IA+N-1,JA:JA+N-1), X(IX:IX+N-1,JX:JX+NRHS-1) and B(IB:IB+N-1,JB:JB+NRHS-1). π§
πΈ ARGUMENTS πΈ
UPLOβ (global input)CHARACTER*1. Specifies whether the upper or lower triangular part of the symmetric matrixsub( A )is stored.= 'U': Upper triangular.= 'L': Lower triangular. pick your fighter bestie πNβ (global input)INTEGER. The order of the matrixsub( A ).N >= 0.NRHSβ (global input)INTEGER. The number of right hand sides, i.e., the number of columns of the matricessub( B )andsub( X ).NRHS >= 0.Aβ (local input)REALpointer into the local memory to an array of local dimension(LLD_A,LOCc(JA+N-1) ). 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. (yes she said "distribu-ted", the original manpage hyphenated it, we respect her choices π )IAβ (global input)INTEGER. The row index in the global arrayAindicating the first row ofsub( A ).JAβ (global input)INTEGER. The 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.AFβ (local input)REALpointer into the local memory to an array of local dimension(LLD_AF,LOCc(JA+N-1)). On entry, this array contains the factorsLorUfrom the Cholesky factorizationsub( A ) = L*L**TorU**T*U, as computed byPSPOTRF.IAFβ (global input)INTEGER. The row index in the global arrayAFindicating the first row ofsub( AF ).JAFβ (global input)INTEGER. The column index in the global arrayAFindicating the first column ofsub( AF ).DESCAFβ (global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixAF.Bβ (local input)REALpointer 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 ). (double "the", we keep it, it's iconic π)IBβ (global input)INTEGER. The row index in the global arrayBindicating the first row ofsub( B ).JBβ (global input)INTEGER. The 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.Xβ (local input)REALpointer into the local memory to an array of local dimension(LLD_X, LOCc(JX+NRHS-1) ). On entry, this array contains the the local pieces of the solution vectorssub( X ). On exit, it contains the improved solution vectors. glow up arc fr fr π₯IXβ (global input)INTEGER. The row index in the global arrayXindicating the first row ofsub( X ).JXβ (global input)INTEGER. The column index in the global arrayXindicating the first column ofsub( X ).DESCXβ (global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixX.FERRβ (local output)REALarray of local dimensionLOCc(JB+NRHS-1). The estimated forward error bound for each solution vector ofsub( X ). IfXTRUEis the true solution corresponding tosub( X ),FERRis an estimated upper bound for the magnitude of the largest element in(sub( X ) - XTRUE)divided by the magnitude of the largest element insub( X ). The estimate is as reliable as the estimate forRCOND, and is almost always a slight overestimate of the true error. This array is tied to the distributed matrixX. she's honest about her overestimating, we love a self-aware queen πBERRβ (local output)REALarray of local dimensionLOCc(JB+NRHS-1). The componentwise relative backward error of each solution vector (i.e., the smallest re-lative change in any entry ofsub( A )orsub( B )that makessub( X )an exact solution). This array is tied to the distributed matrixX. ("re-lative" β again, original hyphenation, we stan her line breaks π«Ά)WORKβ (local workspace/local output)REALarray, dimension(LWORK). On exit,WORK(1)returns the minimal and optimalLWORK.LWORKβ (local or global input)INTEGER. The dimension of the arrayWORK.LWORKis local input and must be at least
LWORK >= 3*LOCr( N + MOD( IA-1, MB_A ) )
If LWORK = -1, then LWORK is global input and a workspace query is assumed; the routine only calculates the minimum and optimal size for all work arrays. Each of these values is returned in the first entry of the corresponding work array, and no error message is issued by PXERBLA. the -1 move is giving "not me asking a question instead of doing the thing" π
IWORKβ (local workspace/local output)INTEGERarray, dimension(LIWORK). On exit,IWORK(1)returns the minimal and optimalLIWORK.LIWORKβ (local or global input)INTEGER. The dimension of the arrayIWORK.LIWORKis local input and must be at least
LIWORK >= LOCr( N + MOD( IB-1, MB_B ) )
If LIWORK = -1, then LIWORK is global input and a workspace query is assumed; the routine only calculates the minimum and optimal size for all work arrays. Each of these values is returned in the first entry of the corresponding work array, and no error message is issued by PXERBLA.
INFOβ (global output)INTEGER.= 0: successful exit.< 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. the math is mathing π
π PARAMETERS π
ITMAX is the maximum number of steps of iterative refinement. β¨
π Notes π
This routine temporarily returns when N <= 1. (she's like "nvm" and dips, valid πΈ)
The distributed submatrices op( A ) and op( AF ) (respectively sub( X ) and sub( B )) should be distributed the same way on the same processes. These conditions ensure that sub( A ) and sub( AF ) (resp. sub( X ) and sub( B )) are "perfectly" aligned. matching outfits, matching vibes, matching process grids π
Moreover, this routine requires the distributed submatrices sub( A ), sub( AF ), sub( X ), and sub( B ) to be aligned on a block boundary, i.e., if f(x,y) = MOD( x-1, y ):
f( IA, DESCA( MB_ ) ) = f( JA, DESCA( NB_ ) ) = 0,
f( IAF, DESCAF( MB_ ) ) = f( JAF, DESCAF( NB_ ) ) = 0,
f( IB, DESCB( MB_ ) ) = f( JB, DESCB( NB_ ) ) = 0, and
f( IX, DESCX( MB_ ) ) = f( JX, DESCX( NB_ ) ) = 0.
bestie if your block boundaries aren't aligned it's OVER, she will simply not be doing it. check your MODs before you ship, i am begging π
okay that's the whole page, you're officially a PSPORFS girlie now πβ¨
this diva came to you from LAPACK version 1.5, dated 12 May 1997 β vintage but she's still slaying, and yes she was serving before most of us existed π no cap, that's the whole manual, go forth and refine iteratively π¦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