PCLAUU2(l)
π PCLAUU2 π
okay bestie, buckle up, because we're doing LAPACK auxiliary routine realness today β this one lives in the PCLAUU2(l) girlies' section of the manual, version 1.5 energy, and she is so much chiller than she looks. no cap.
β¨ NAME β¨
PCLAUU2 β compute the product U * U' or L' * L, where the triangular factor U or L is stored in the upper or lower triangular part of the matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1)
π SYNOPSIS π
SUBROUTINE PCLAUU2( UPLO, N, A, IA, JA, DESCA )
CHARACTER UPLO
INTEGER IA, JA, N
INTEGER DESCA( * )
COMPLEX A( * )
like. look at her. five arguments and a dream π
πΈ PURPOSE πΈ
PCLAUU2 computes the product U * U' or L' * L, where the triangular factor U or L is stored in the upper or lower triangular part of the matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1).
- if
UPLO = 'U'or'u'then the upper triangle of the result is stored, overwriting the factorUinsub( A ). - if
UPLO = 'L'or'l'then the lower triangle of the result is stored, overwriting the factorLinsub( A ).
This is the unblocked form of the algorithm, calling Level 2 BLAS. no communication is performed by this routine β the matrix to operate on should be strictly local to one process. fr fr, she does not talk to the other processes. she is on her own journey. π¦
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".
so like, the whole notation table but make it a vibe check:
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
π ARGUMENTS π
UPLOβ (global input)CHARACTER*1β specifies whether the triangular factor stored in the matrixsub( A )is upper or lower triangular:= 'U':Upper triangular,= 'L':Lower triangular.
Nβ (global input)INTEGERβ the number of rows and columns to be operated on, i.e. the order of the order of the triangular factorUorL.N >= 0. (yes it literally says "the order of the order", she said it twice because she meant it π)Aβ (local input/local output)COMPLEXpointer into the local memory to an array of dimension(LLD_A, LOCc(JA+N-1)). on entry, the local pieces of the triangular factorLorU. on exit, ifUPLO = 'U', the upper triangle of the distributed matrixsub( A )is overwritten with the upper triangle of the productU * U'; ifUPLO = 'L', the lower triangle ofsub( A )is overwritten with the lower triangle of the productL' * L.IAβ (global input)INTEGERβ the row index in the global arrayAindicating the first row ofsub( A ).JAβ (global input)INTEGERβ 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.
β οΈ friendly reminder bestie: this routine does no communication. if your matrix isn't strictly local to one process you are going to have a bad time. keep it local, keep it cute. π«Ά
that's the whole page, no notes, she ate and left no crumbs. this icon is from LAPACK version 1.5, dated 12 May 1997 β yeah she's vintage, she's archival, 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