PCGEQLF(l)
β¨ PCGEQLF(l) β¨
okay so bestie, you know that routine PCGEQLF(l) from the LAPACK crew? yeah her. she's a LAPACK routine, version 1.5, and she is so much cooler than her manpage makes her look. let's vibe check the whole thing together π
πΈ NAME πΈ
PCGEQLF β she 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
periodt. that's the whole assignment π
π¦ SYNOPSIS π¦
SUBROUTINE PCGEQLF( M, N, A, IA, JA, DESCA, TAU, WORK, LWORK, INFO )
INTEGER IA, INFO, JA, LWORK, M, N
INTEGER DESCA( * )
COMPLEX A( * ), TAU( * ), WORK( * )
look at her. ten arguments. not one of them optional. main character energy fr fr π
π PURPOSE π
PCGEQLF 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 it. that's the job. she factors, she slays, she hands you back a Q and an L. π
Notes
so before we even get to the arguments, we gotta talk about descriptor vectors, because this is the part that makes everybody's brain short-circuit and honestly it's not even hard, it's just a lot of letters. π
each global data object is described by an associated description vector. this vector stores the info you need to establish the mapping between an object element and its corresponding process and memory location. (translation: it's the address book that tells you which process is holding which lil piece of your matrix 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. in the following comments, 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 gridAis 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 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
see? not scary. just a lot of capital letters bestie π
π ARGUMENTS π
M(global input)INTEGERβ the number of rows to be operated on, i.e. the number of rows of the distributed submatrixsub( A ).M >= 0.N(global input)INTEGERβ the number of columns to be operated on, i.e. the number of columns of the distributed submatrixsub( A ).N >= 0.A(local input/local output)COMPLEXβ 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 unitary matrixQas a product of elementary reflectors (see Further Details). β¨
not the manpage literally gluingIA's whole description onto the tail end ofA's paragraph π we love a formatting moment. here it is anyway so nothing gets lost:
IA(global input)INTEGERβ the row index in the global arrayAindicating the first row ofsub( A ).JA(global input)INTEGERβ the column index in the global arrayAindicating the first column ofsub( A ).DESCA(global and local input)INTEGERarray of dimensionDLEN_β the array descriptor for the distributed matrixA.TAU(local output)COMPLEX, array, dimensionLOCc(JA+N-1)β this array contains the scalar factors of the elementary reflectors.TAUis tied to the distributed matrixA. πWORK(local workspace/local output)COMPLEXarray, dimension(LWORK)β on exit,WORK(1)returns the minimal and optimalLWORK.LWORK(local or global input)INTEGERβ the dimension of the arrayWORK.LWORKis local input and must be at least
LWORK >= 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. (yes bestie, the -1 trick. she's showing off and she's earned it π
)
INFO(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.
ok but the fact that the array-error code is-(i*100+j)and the scalar one is just-i?? it's giving "i ran out of budget for a nicer encoding" π remember both, fr fr.
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).
and that's the whole reflector recipe, bestie. she's not hiding anything from you π
and that's the page, no cap π this little love letter was brought to you by LAPACK version 1.5, dated 12 May 1997 β yes, she's an icon from the 90s and she's still eating π π«Ά go factor something, you got this. ππ¦β¨
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