PDGEQLF(l)
PDGEQLF π β¨
okay bestie, welcome to the LAPACK corner of the group chat β this is a routine from LAPACK version 1.5, and yes she's old, yes she's iconic, yes she still eats. π
β¨ NAME β¨
PDGEQLF β she computes a QL factorization of a real distributed M-by-N matrix
sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = Q * L
πΈ SYNOPSIS πΈ
SUBROUTINE PDGEQLF( M, N, A, IA, JA, DESCA, TAU, WORK, LWORK, INFO )
INTEGER IA, INFO, JA, LWORK, M, N
INTEGER DESCA( * )
DOUBLE PRECISION A( * ), TAU( * ), WORK( * )
π¦ PURPOSE π¦
So PDGEQLF computes a QL factorization of a real distributed M-by-N matrix
sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = Q * L.
π Notes π
bestie this next bit is the lore you NEED before you touch anything, fr fr.
Every global data object has an associated description vector riding with it. That vector stores all the info you need to figure out the mapping between an element of the object and the process + memory location it actually lives on. 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 comments below, you should read the character _ as "of the global array". iykyk. π
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 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 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
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) DOUBLE PRECISION pointer 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 orthogonal matrixQas a product of elementary reflectors (see Further Details).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) INTEGER array of dimensionDLEN_. The array descriptor for the distributed matrixA.TAUβ (local output) DOUBLE PRECISION, array, dimensionLOCc(JA+N-1). This array contains the scalar factors of the elementary reflectors.TAUis tied to the distributed matrixA.WORKβ (local workspace/local output) DOUBLE PRECISION array, 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.
If LWORK = -1, then LWORK is global input and a workspace query is assumed; 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 by PXERBLA.
INFOβ (global output) INTEGER.= 0: successful exit 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 real scalar, and v is a real 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).
lowkey the LWORK = -1 workspace query is your bestie, ask her politely before you allocate anything, no cap π
k bye ily, go factor something gorgeous π
this whole thing is LAPACK version 1.5, dated 12 May 1997 β vintage, iconic, still slaying ππβ
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