PSLATRA(l)
π
PSLATRA β the tea (from the l manual, aka LAPACK auxiliary routine territory)
okay so bestie, welcome to PSLATRA, a LAPACK auxiliary routine, and she's giving "quiet little math gremlin who does exactly one thing and does it flawlessly." No cap. Let's get into it. π
β¨ NAME β¨
PSLATRA β compute the trace of an N-by-N distributed matrix sub( A ) denoting A( IA:IA+N-1, JA:JA+N-1 ).
That's it. That's her whole job. Iconic behavior, honestly. π
β¨ SYNOPSIS β¨
REAL FUNCTION PSLATRA( N, A, IA, JA, DESCA )
INTEGER IA, JA, N
INTEGER DESCA( * )
REAL A( * )
β¨ PURPOSE β¨
PSLATRA computes the trace of an N-by-N distributed matrix sub( A ) denoting A( IA:IA+N-1, JA:JA+N-1 ). And here's the slay part: the result is left on every process of the grid. Not one process. Not the main character process. Every process. Sharing is caring fr fr. π«Ά
Notes
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, the descriptor lore, laid out one item at a time because we don't do ugly tables here:
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 gridAis distributed over. The context itself is global, but the handle (the integer value) may vary. She's a vibe, not a constant. πM_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
math girlies stay winning β¨
β¨ ARGUMENTS β¨
Nβ (global input)INTEGER. The number of rows and columns to be operated on i.e the order of the distributed submatrixsub( A ).N >= 0. No negativity allowed in this household. π«Aβ (local input)REALpointer into the local memory to an array of dimension( LLD_A, LOCc(JA+N-1) ). This array contains the local pieces of the distributed matrix the trace is to be computed. It's just her lil slice of the big picture. πΈIAβ (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. Yes she's both global and local, she contains multitudes, main character energy fr. π
heads up bestie: nothing here is deprecated or cursed βPSLATRAis a well-behaved queen. Just keepN >= 0and your descriptor correct, and you're golden. π
and that's the whole page, no crumbs left. LAPACK version 1.5, dated 12 May 1997 β so yeah she's vintage, she's archival, she's serving retro tech realness and we're obsessed. mwah, study safe, bye bestie!! π¦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