PCUNGLQ(l)
β¨ NAME β¨
PCUNGLQ β bestie, this is the one that 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
Q = H(k)'
It's giving β¨linear algebraβ¨ and honestly? Iconic.
π SYNOPSIS π
SUBROUTINE PCUNGLQ( 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( * )
π PURPOSE π
PCUNGLQ 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.
Like. That's the whole vibe. It builds Q out of the reflectors PCGELQF left behind, no cap. π¦
πΈ Notes πΈ
Every 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".
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
π¦ ARGUMENTS π¦
Mβ (global input) INTEGER β The number of rows to be operated on i.e the number of rows of the distributed submatrixQ.M >= 0.Nβ (global input) INTEGER β The number of columns to be operated on i.e the number of columns of the distributed submatrixQ.N >= M >= 0.Kβ (global input) INTEGER β The number of elementary reflectors whose product defines the matrixQ.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, thei-th row must contain the vector which defines the elementary reflectorH(i),IA <= i <= IA+K-1, as returned byPCGELQFin theKrows of its distributed matrix argumentA(IA:IA+K-1,JA:*). On exit, this array contains the local pieces of theM-by-Ndistributed matrixQ.IAβ (global input) INTEGER β The row index in the global arrayAindicating the first row ofsub( A ).JAβ (global input) INTEGER β 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 input) COMPLEX, array, dimensionLOCr(IA+K-1). This array contains the scalar factorsTAU(i)of the elementary reflectorsH(i)as returned byPCGELQF.TAUis tied to the distributed matrixA.WORKβ (local workspace/local output) COMPLEX array, dimension(LWORK). On exit,WORK(1)returns the minimal and optimalLWORK.LWORKβ (local or global input) INTEGER β The dimension of the arrayWORK.LWORKis local input and must be at leastLWORK >= MB_A * ( MpA0 + NqA0 + MB_A ), 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.
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< 0: If thei-th argument is an array and thej-entry had an illegal value, thenINFO = -(i*100+j), if thei-th argument is a scalar and had an illegal value, thenINFO = -i.
π«Ά fr fr, do NOT sleep on thatLWORKbound. Query withLWORK = -1first and let the routine tell you what it wants, periodt.
LAPACK version 1.5 Β· 12 May 1997
okay that's the whole page bestie, you ate that π β¨ go build your orthonormal rows and slay ππ¦
π¦ where this page comes from
- ubuntu jammy: scalapack-doc 1.5-11
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