PDLANSY(l)

πŸ“¦ version 1.5, in ubuntu jammy

πŸ’– PDLANSY β€” the l file, bestie πŸ’–

okay so real talk, this is PDLANSY from the LAPACK auxiliary routine side of town (version 1.5, iykyk) and she is literally just here to hand you a norm. one norm. infinity norm. Frobenius norm. the biggest absolute value in the whole place. pick your fighter. πŸŽ€


✨ NAME ✨

PDLANSY β€” return the value of the one norm, or the Frobenius norm, πŸ¦‹

(yeah the NAME section just kinda stops there, she's mysterious like that, the rest is down in PURPOSE, we get there)


✨ SYNOPSIS ✨

DOUBLE PRECISION FUNCTION PDLANSY( NORM, UPLO, N, A, IA, JA, DESCA, WORK
                 )

    CHARACTER    NORM, UPLO

    INTEGER      IA, JA, N

    INTEGER      DESCA( * )

    DOUBLE       PRECISION A( * ), WORK( * )

✨ PURPOSE ✨

ok so PDLANSY returns the value of the one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real symmetric distributed matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1). it's giving "one function, four moods" πŸ’…

PDLANSY returns the value

( max(abs(A(i,j))),  NORM = 'M' or 'm' with IA <= i <= IA+N-1,
(                                      and  JA <= j <= JA+N-1,
(
( norm1( sub( A ) ), NORM = '1', 'O' or 'o'
(
( normI( sub( A ) ), NORM = 'I' or 'i'
(
( normF( sub( A ) ), NORM = 'F', 'f', 'E' or 'e'

where norm1 denotes the one norm of a matrix (maximum column sum), normI denotes the infinity norm of a matrix (maximum row sum) and normF denotes the Frobenius norm of a matrix (square root of sum of squares). 🌸

bestie heads up: max(abs(A(i,j))) is not a matrix norm. she's just a value. no cap. πŸ’€

πŸ’œ Notes πŸ’œ

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". 🫢

here's the whole vibe check, one line at a time:

  • NOTATION β€” DTYPE_A(global) β€” stored in DESCA( DTYPE_ ) β€” the descriptor type. In this case, DTYPE_A = 1. ⭐
  • NOTATION β€” CTXT_A (global) β€” stored in DESCA( 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. πŸ¦‹
  • NOTATION β€” M_A (global) β€” stored in DESCA( M_ ) β€” the number of rows in the global array A. πŸ’–
  • NOTATION β€” N_A (global) β€” stored in DESCA( N_ ) β€” the number of columns in the global array A. πŸ’–
  • NOTATION β€” MB_A (global) β€” stored in DESCA( MB_ ) β€” the blocking factor used to distribute the rows of the array. πŸŽ€
  • NOTATION β€” NB_A (global) β€” stored in DESCA( NB_ ) β€” the blocking factor used to distribute the columns of the array. πŸŽ€
  • NOTATION β€” RSRC_A (global) β€” stored in DESCA( RSRC_ ) β€” the process row over which the first row of the array A is distributed. 🌈
  • NOTATION β€” CSRC_A (global) β€” stored in DESCA( CSRC_ ) β€” the process column over which the first column of the array A is distributed. 🌈
  • NOTATION β€” LLD_A (local) β€” stored in DESCA( 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

✨ ARGUMENTS ✨

  • NORM β€” (global input) CHARACTER. Specifies the value to be returned in PDLANSY as described above. πŸ‘‘
  • UPLO β€” (global input) CHARACTER. Specifies whether the upper or lower triangular part of the symmetric matrix sub( A ) is to be referenced.
    • = 'U': Upper triangular part of sub( A ) is referenced,
    • = 'L': Lower triangular part of sub( A ) is referenced.
  • N β€” (global input) INTEGER. The number of rows and columns to be operated on i.e the number of rows and columns of the distributed submatrix sub( A ). When N = 0, PDLANSY is set to zero. N >= 0. πŸ“
  • A β€” (local input) DOUBLE PRECISION pointer into the local memory to an array of dimension (LLD_A, LOCc(JA+N-1)) containing the local pieces of the symmetric distributed matrix sub( A ). If UPLO = 'U', the leading N-by-N upper triangular part of sub( A ) contains the upper triangular matrix which norm is to be computed, and the strictly lower triangular part of this matrix is not referenced. If UPLO = 'L', the leading N-by-N lower triangular part of sub( A ) contains the lower triangular matrix which norm is to be computed, and the strictly upper triangular part of sub( A ) is not referenced. πŸ™ˆ
  • IA β€” (global input) INTEGER. The row index in the global array A indicating the first row of sub( A ). 🌸
  • JA β€” (global input) INTEGER. The column index in the global array A indicating the first column of sub( A ). 🌸
  • DESCA β€” (global and local input) INTEGER array of dimension DLEN_. The array descriptor for the distributed matrix A. 🧚
  • WORK β€” (local workspace) DOUBLE PRECISION array dimension (LWORK). ok so listen carefully bestie, LWORK depends on your NORM and it is not a one-size situation:

LWORK >= 0 if NORM = 'M' or 'm' (not referenced), 2*Nq0+Np0+LDW if NORM = '1', 'O', 'o', 'I' or 'i', where LDW is given by: IF( NPROW.NE.NPCOL ) THEN LDW = MB_A*CEIL(CEIL(Np0/MB_A)/(LCM/NPROW)) ELSE LDW = 0 END IF 0 if NORM = 'F', 'f', 'E' or 'e' (not referenced),

where LCM is the least common multiple of NPROW and NPCOL LCM = ILCM( NPROW, NPCOL ) and CEIL denotes the ceiling operation (ICEIL). πŸ’…

and the rest of the ingredients, get you a girl who can do both:

IROFFA = MOD( IA-1, MB_A ), ICOFFA = MOD( JA-1, NB_A ), IAROW = INDXG2P( IA, MB_A, MYROW, RSRC_A, NPROW ), IACOL = INDXG2P( JA, NB_A, MYCOL, CSRC_A, NPCOL ), Np0 = NUMROC( N+IROFFA, MB_A, MYROW, IAROW, NPROW ), Nq0 = NUMROC( N+ICOFFA, NB_A, MYCOL, IACOL, NPCOL ),

ICEIL, ILCM, INDXG2P and NUMROC are ScaLAPACK tool functions; MYROW, MYCOL, NPROW and NPCOL can be determined by calling the subroutine BLACS_GRIDINFO. ⭐


and that's the whole page bestie, no crumbs left 🫢 this one's from LAPACK version 1.5, dated 12 May 1997 β€” yes she's an icon, yes she's been an icon, main character energy since '97, periodt. πŸ‘‘βœ¨

πŸ“¦ where this page comes from