PZGEQLF(l)
π PZGEQLF π
okay bestie, gather round, because we're doing LAPACK routine version 1.5 today and honestly? it's giving iconic. this is the manual page for PZGEQLF(l) and by the end of it you're gonna know exactly what this subroutine does, no cap. π¦
β¨ NAME β¨
PZGEQLF β compute a QL factorization of a complex distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = Q * L. slay. π
πΈ SYNOPSIS πΈ
SUBROUTINE PZGEQLF( M, N, A, IA, JA, DESCA, TAU, WORK, LWORK, INFO )
INTEGER IA, INFO, JA, LWORK, M, N
INTEGER DESCA( * )
COMPLEX*16 A( * ), TAU( * ), WORK( * )
literally the whole signature, verbatim, don't @ me. π
π PURPOSE π
PZGEQLF computes a QL factorization of a complex distributed M-by-N matrix
sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = Q * L
that's the whole job. she factors, she serves, she leaves. β¨
π Notes π
ok so before we go any further, we gotta talk about descriptors, because every global data object in this world is described by an associated description vector. this vector stores all the info you need to establish the mapping between an object element and its corresponding process and memory location. it's basically the group chat of your array β who's where, who owns what. π«Ά
let A be a generic term for any 2D block cyclicly distributed array. such a global array has an associated description vector DESCA. and in the following comments, bestie, the character _ should be read as "of the global array". iykyk.
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)).
now, 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
periodt. math is math and she ate. π₯
π ARGUMENTS π
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)). on entry, the local pieces of the M-by-N distributed matrixsub( A )which is to be factored. on exit: ifM >= N, the lower triangle of the distributed submatrixA( IA+M-N:IA+M-1, JA:JA+N-1 )contains the N-by-N lower triangular matrixL; ifM <= N, the elements on and below the(N-M)-th superdiagonal contain the M by N lower trapezoidal matrixL; the remaining elements, with the arrayTAU, represent the unitary matrixQas a product of elementary reflectors (see Further Details). πIAβ (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.TAUβ (local output)COMPLEX*16, array, dimensionLOCc(JA+N-1). this array contains the scalar factors of the elementary reflectors.TAUis tied to the distributed matrixA. she's attached, she's loyal. π«ΆWORKβ (local workspace/local output)COMPLEX*16array, dimension(LWORK). on exit,WORK(1)returns the minimal and optimalLWORK.LWORKβ (local or global input)INTEGER. the dimension of the arrayWORK.LWORKis local input and must be at leastLWORK >= NB_A * ( Mp0 + Nq0 + NB_A ), where:
IROFF = MOD( IA-1, MB_A ), ICOFF = MOD( JA-1, NB_A ), IAROW =
INDXG2P( IA, MB_A, MYROW, RSRC_A, NPROW ), IACOL = INDXG2P( JA,
NB_A, MYCOL, CSRC_A, NPCOL ), Mp0 = NUMROC( M+IROFF, MB_A,
MYROW, IAROW, NPROW ), Nq0 = NUMROC( N+ICOFF, NB_A, MYCOL,
IACOL, NPCOL ),
and NUMROC, INDXG2P are ScaLAPACK tool functions; MYROW, MYCOL, NPROW and NPCOL can be determined by calling the subroutine BLACS_GRIDINFO.
ifLWORK = -1, thenLWORKis global input and a workspace query is assumed β the routine only calculates the minimum and optimal size for all work arrays. each of these values is returned in the first entry of the corresponding work array, and no error message is issued byPXERBLA. β¨ (this is the "just tell me how much room i need" mode, and honestly? so valid.)
INFOβ (global output)INTEGER.= 0: successful exit. we love a clean win. π< 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¦ FURTHER DETAILS π¦
the matrix Q is represented as a product of elementary reflectors
Q = H(ja+k-1) . . . H(ja+1) H(ja), where k = min(m,n).
each H(i) has the form
H(i) = I - tau * v * v'
where tau is a complex scalar, and v is a complex vector with v(m-k+i+1:m) = 0 and v(m-k+i) = 1; v(1:m-k+i-1) is stored on exit in A(ia:ia+m-k+i-2,ja+n-k+i-1), and tau in TAU(ja+n-k+i-1). π§
ok that's the whole page bestie, every flag, every formula, everyLOCrandLOCc, all of it. not me being a whole ScaLAPACK scholar rn. π
this was LAPACK version 1.5, dated 12 May 1997, and yes she's still serving after all these years β main character energy fr fr. π 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