PCUNGL2(l)
π PCUNGL2 π
okay bestie, welcome to the PCUNGL2 page β that's a LAPACK routine, lowercase l in the manual slot, and it's from LAPACK version 1.5, so buckle up. This one's a ScaLAPACK girlie: distributed matrices, BLACS grids, the whole β¨situationβ¨. Let's get into it. π¦
β¨ NAME β¨
PCUNGL2 β generate an M-by-N complex distributed matrix Q denoting A(IA:IA+M-1,JA:JA+N-1) with orthonormal rows, which is defined as the first M rows of a product of K elementary reflectors of order N Q = H(k)'
no cap, that's the whole vibe of the function. π
β¨ SYNOPSIS β¨
SUBROUTINE PCUNGL2( M, N, K, A, IA, JA, DESCA, TAU, WORK, LWORK, INFO )
INTEGER IA, INFO, JA, K, LWORK, M, N
INTEGER DESCA( * )
COMPLEX A( * ), TAU( * ), WORK( * )
β¨ PURPOSE β¨
PCUNGL2 generates an M-by-N complex distributed matrix Q denoting A(IA:IA+M-1,JA:JA+N-1) with orthonormal rows, which is defined as the first M rows of a product of K elementary reflectors of order N
as returned by PCGELQF. π«Ά
Notes π
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". 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 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
β¨ ARGUMENTS β¨
Mβ (global input) INTEGER β The number of rows to be operated on i.e the number of rows of the distributed submatrix Q.M >= 0. πNβ (global input) INTEGER β The number of columns to be operated on i.e the number of columns of the distributed submatrix Q.N >= M >= 0.Kβ (global input) INTEGER β The number of elementary reflectors whose product defines the matrix Q.M >= K >= 0.Aβ (local input/local output) COMPLEX pointer into the local memory to an array of dimension(LLD_A,LOCc(JA+N-1)). On entry, the i-th row must contain the vector which defines the elementary reflectorH(i),IA <= i <= IA+K-1, as returned byPCGELQFin the K rows of its distributed matrix argumentA(IA:IA+K-1,JA:*). On exit, this array contains the local pieces of the M-by-N distributed matrix Q. β¨IAβ (global input) INTEGER β The row index in the global array A indicating the first row ofsub( A ).JAβ (global input) INTEGER β The column index in the global array A indicating the first column ofsub( A ).DESCAβ (global and local input) INTEGER array of dimensionDLEN_. The array descriptor for the distributed matrix A. πTAUβ (local input) COMPLEX, array, dimensionLOCr(IA+K-1). This array contains the scalar factorsTAU(i)of the elementary reflectorsH(i)as returned byPCGELQF. TAU is tied to the distributed matrix A. πWORKβ (local workspace/local output) COMPLEX array, dimension(LWORK). On exit,WORK(1)returns the minimal and optimal LWORK.LWORKβ (local or global input) INTEGER β The dimension of the array WORK. LWORK is local input and must be at leastLWORK >= NqA0 + MAX( 1, MpA0 ), where
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 ), MpA0 = NUMROC( M+IROFFA, MB_A,
MYROW, IAROW, NPROW ), NqA0 = NUMROC( N+ICOFFA, NB_A, MYCOL,
IACOL, NPCOL ),
INDXG2P and NUMROC are ScaLAPACK tool functions; MYROW, MYCOL, NPROW and NPCOL can be determined by calling the subroutine BLACS_GRIDINFO. π
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 (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.
bestie, real talk: ifINFOcomes back negative, that's the routine telling you which argument you fumbled.-(i*100+j)for arrays,-ifor scalars. read it carefully, don't just ignore it π
and that's the whole page, periodt π this one's LAPACK version 1.5, dated 12 May 1997 β vintage icon behavior fr fr, she's been slaying since before you were born ππΈβ¨
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