PCLASET(l)
πΈ NAME πΈ
okay so bestie, gather round β PCLASET(l) is a LAPACK auxiliary routine (we're on version 1.5, hey queen) and what it does is initialize an M-by-N distributed matrix sub( A ), aka A(IA:IA+M-1,JA:JA+N-1), setting BETA on the diagonal and ALPHA on the offdiagonals. That's it. That's the whole vibe. β¨
β¨ SYNOPSIS β¨
SUBROUTINE PCLASET( UPLO, M, N, ALPHA, BETA, A, IA, JA, DESCA )
CHARACTER UPLO
INTEGER IA, JA, M, N
COMPLEX ALPHA, BETA
INTEGER DESCA( * )
COMPLEX A( * )
nine arguments, one character, two complex scalars, no notes. we love a low-maintenance icon π
π PURPOSE π
PCLASET initializes an M-by-N distributed matrix sub( A ) β that's A(IA:IA+M-1,JA:JA+N-1) if you're keeping score β to BETA on the diagonal and ALPHA on the offdiagonals. filling in the blanks, but make it distributed.
π Notes π
okay this is the part where the descriptor lore drops, and honestly? it's giving essential.
Every 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".
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
math class but make it cute. lowkey obsessed with NUMROC. π§
π ARGUMENTS π
UPLOβ (global input)CHARACTER. Specifies the part of the distributed matrixsub( A )to be set:= 'U':Upper triangular part is set; the strictly lower triangular part ofsub( A )is not changed.= 'L':Lower triangular part is set; the strictly upper triangular part ofsub( A )is not changed.- Otherwise: All of the matrix
sub( A )is set.
Mβ (global input)INTEGER. The number of rows to be operated on, i.e. the number of rows of the distributed submatrixsub( A ).M >= 0. no negative row energy allowed bestie π«ΆNβ (global input)INTEGER. The number of columns to be operated on, i.e. the number of columns of the distributed submatrixsub( A ).N >= 0. same rules, same slayALPHAβ (global input)COMPLEX. The constant to which the offdiagonal elements are to be set. the off-diagonal main character β¨BETAβ (global input)COMPLEX. The constant to which the diagonal elements are to be set. diagonal royalty πAβ (local output)COMPLEXpointer into the local memory to an array of dimension(LLD_A,LOCc(JA+N-1)). This array contains the local pieces of the distributed matrixsub( A )to be set. On exit, the leadingM-by-Nsubmatrixsub( A )is set as follows:
if UPLO = 'U', A(IA+i-1,JA+j-1) = ALPHA, 1<=i<=j-1, 1<=j<=N,
if UPLO = 'L', A(IA+i-1,JA+j-1) = ALPHA, j+1<=i<=M, 1<=j<=N,
otherwise, A(IA+i-1,JA+j-1) = ALPHA, 1<=i<=M, 1<=j<=N,
IA+i.NE.JA+j,
and, for all UPLO, A(IA+i-1,JA+i-1) = BETA, 1<=i<=min(M,N).
heads up:Ais a local output β it's a pointer into your local memory, and the dimension is(LLD_A,LOCc(JA+N-1)). Don't get it twisted. 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. the whole personality of the matrix, honestly π
and that's the whole page, bestie β no cap, every flag, every formula, every 1<=i<=j-1, all of it accounted for. periodt. π
this one came from LAPACK version 1.5, dated 12 May 1997, and it's still out here being iconic. mwah. πβ¨
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