PZLASCL(l)
π PZLASCL β the LAPACK auxiliary routine, bestie edition π
okay so real quick, this is PZLASCL from the LAPACK auxiliary squad (manual page PZLASCL(l), version 1.5). It's the "scale a distributed matrix by a real number without blowing up your floats" routine. Let's get into it π«Ά
β¨ NAME β¨
PZLASCL β multiplie the M-by-N complex distributed matrix sub( A ) denoting A(IA:IA+M-1,JA:JA+N-1) by the real scalar CTO/CFROM. π
β¨ SYNOPSIS β¨
SUBROUTINE PZLASCL( TYPE, CFROM, CTO, M, N, A, IA, JA, DESCA, INFO )
CHARACTER TYPE
INTEGER IA, INFO, JA, M, N
DOUBLE PRECISION CFROM, CTO
INTEGER DESCA( * )
COMPLEX*16 A( * )
β¨ PURPOSE β¨
PZLASCL multiplies the M-by-N complex distributed matrix sub( A ) denoting A(IA:IA+M-1,JA:JA+N-1) by the real scalar CTO/CFROM. The whole point, the moment, the reason she exists: this is done without over/underflow as long as the final result CTO * A(I,J) / CFROM does not over/underflow. So like, intermediate steps can be wild, but the final answer has to fit β that's the vibe check. β¨
TYPE specifies that sub( A ) may be full, upper triangular, lower triangular or upper Hessenberg. 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". iykyk π
Here's the whole lore, laid out:
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 array A.N_A(global) β stored inDESCA( N_ )β The number of columns in the global array A.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 array A is distributed.CSRC_A(global) β stored inDESCA( CSRC_ )β The process column over which the first column of the array A is 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
β¨ ARGUMENTS β¨
TYPEβ (global input)CHARACTER.TYPEindices the storage type of the input distributed matrix. π= 'G':sub( A )is a full matrix,= 'L':sub( A )is a lower triangular matrix,= 'U':sub( A )is an upper triangular matrix,= 'H':sub( A )is an upper Hessenberg matrix.
CFROMβ (global input)DOUBLE PRECISIONCTOβ (global input)DOUBLE PRECISION. The distributed matrixsub( A )is multiplied byCTO/CFROM.A(I,J)is computed without over/underflow if the final resultCTO * A(I,J) / CFROMcan be represented without over/underflow.CFROMmust be nonzero. π¨ like fr fr, do not pass a zero here.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.Nβ (global input)INTEGER. The number of columns to be operated on i.e the number of columns of the distributed submatrixsub( A ).N >= 0.Aβ (local input/local output)COMPLEX*16pointer 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 ). On exit, this array contains the local pieces of the distributed matrix multiplied byCTO/CFROM. π¦ she comes in as one thing and leaves scaled, main character transformation arc.IAβ (global input)INTEGER. The row index in the global array A indicating the first row ofsub( A ).JAβ (global input)INTEGER. The column index in the global array A indicating the first column ofsub( A ).DESCAβ (global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrix A.INFOβ (local output)INTEGER. The receipts π= 0: successful exit β¨< 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.
π note the < 0 case is literally "something you handed me was illegal" β negative INFO is not a slay, it's a "go fix your args" moment.
LAPACK version 1.5 Β· 12 May 1997 β that's the source, the version, and the date this page came from, and she's been iconic since. PZLASCL(l) out. 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