PDGEQL2(l)
π PDGEQL2 π
okay so bestie, welcome to PDGEQL2, a LAPACK routine (that's LAPACK version 1.5, in the l manual section, iykyk) β and she's here to compute a QL factorization of a real distributed M-by-N matrix, no cap β¨
πΈ NAME πΈ
PDGEQL2 β compute 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 SYNOPSIS π
SUBROUTINE PDGEQL2( M, N, A, IA, JA, DESCA, TAU, WORK, LWORK, INFO )
INTEGER IA, INFO, JA, LWORK, M, N
INTEGER DESCA( * )
DOUBLE PRECISION A( * ), TAU( * ), WORK( * )
β¨ PURPOSE β¨
PDGEQL2 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¦
Each global data object is described by an associated description vector, fr fr. That vector stores all the info you need to establish the mapping between an object element and its corresponding process and memory location. It's giving very organized. π
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".
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)).
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
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)DOUBLE PRECISIONpointer 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).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_. The array descriptor for the distributed matrixA.TAU(local output)DOUBLE PRECISION, array, dimensionLOCc(JA+N-1)β this array contains the scalar factors of the elementary reflectors.TAUis tied to the distributed matrixA.WORK(local workspace/local output)DOUBLE PRECISIONarray, dimension(LWORK). 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 leastLWORK >= Mp0 + MAX( 1, Nq0 ), 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.
INFO(local 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).
ngl bestie, if you got an INFO < 0 it's not your villain era, it's just an argument that needs a vibe check π fix it and run it back.
okay that's the whole page!! this one is LAPACK version 1.5, dated 12 May 1997 β she's an icon, she's a legend, and she is the moment ππ periodt.
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