PSORMQL(l)
π PSORMQL π (the l-page, but make it cute)
okay so hi bestie π«Ά you've found the manual page for PSORMQL, a LAPACK routine, and honestly? she's giving distributed-linear-algebra main character energy and I'm obsessed. this is LAPACK version 1.5, and yes we're gonna get through the whole thing together, no skimming, no gatekeeping. π
πΈ NAME πΈ
PSORMQL β she overwrites the general real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with SIDE = 'L', SIDE = 'R', TRANS = 'N'. that's the whole vibe, that's the job. π
β¨ SYNOPSIS β¨
SUBROUTINE PSORMQL( SIDE, TRANS, M, N, K, A, IA, JA, DESCA, TAU, C, IC,
JC, DESCC, WORK, LWORK, INFO )
CHARACTER SIDE, TRANS
INTEGER IA, IC, INFO, JA, JC, K, LWORK, M, N
INTEGER DESCA( * ), DESCC( * )
REAL A( * ), C( * ), TAU( * ), WORK( * )
π¦ PURPOSE π¦
PSORMQL overwrites the general real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with
TRANS = 'T': Q**T * sub( C ) sub( C ) * Q**T
where Q is a real orthogonal distributed matrix defined as the product of K elementary reflectors
Q = H(k) . . . H(2) H(1)
as returned by PSGEQLF. and like, Q is of order M if SIDE = 'L', and of order N if SIDE = 'R'. periodt. β¨
π Notes π
every global data object is described by an associated description vector, and this vector stores the info you need to map an object element to its corresponding process and memory location. so like, it's the group chat of data structures fr fr.
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. π§
here's the whole lore, laid out:
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
every single one, bestie, we are not skipping a crumb:
SIDE(global input)CHARACTERβ= 'L': applyQorQ**Tfrom the Left;= 'R': applyQorQ**Tfrom the Right.TRANS(global input)CHARACTERβ= 'N': No transpose, applyQ;= 'T': Transpose, applyQ**T.M(global input)INTEGERβ the number of rows to be operated on, i.e. the number of rows of the distributed submatrixsub( C ).M >= 0.N(global input)INTEGERβ the number of columns to be operated on, i.e. the number of columns of the distributed submatrixsub( C ).N >= 0.K(global input)INTEGERβ the number of elementary reflectors whose product defines the matrixQ. ifSIDE = 'L',M >= K >= 0; ifSIDE = 'R',N >= K >= 0.A(local input)REALpointer into the local memory to an array of dimension(LLD_A,LOCc(JA+K-1)). on entry, the j-th column must contain the vector which defines the elementary reflectorH(j),JA <= j <= JA+K-1, as returned byPSGEQLFin theKcolumns of its distributed matrix argumentA(IA:*,JA:JA+K-1).A(IA:*,JA:JA+K-1)is modified by the routine but restored on exit. ifSIDE = 'L',LLD_A >= MAX( 1, LOCr(IA+M-1) ); ifSIDE = 'R',LLD_A >= MAX( 1, LOCr(IA+N-1) ).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 input)REAL, array, dimensionLOCc(JA+N-1)β this array contains the scalar factorsTAU(j)of the elementary reflectorsH(j)as returned byPSGEQLF.TAUis tied to the distributed matrixA.C(local input/local output)REALpointer into the local memory to an array of dimension(LLD_C,LOCc(JC+N-1)). on entry, the local pieces of the distributed matrixsub(C). on exit,sub( C )is overwritten byQ*sub( C )orQ'*sub( C )orsub( C )*Q'orsub( C )*Q.IC(global input)INTEGERβ the row index in the global arrayCindicating the first row ofsub( C ).JC(global input)INTEGERβ the column index in the global arrayCindicating the first column ofsub( C ).DESCC(global and local input)INTEGERarray of dimensionDLEN_β the array descriptor for the distributed matrixC.WORK(local workspace/local output)REALarray, 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 least:
If SIDE = 'L', LWORK >= MAX( (NB_A*(NB_A-1))/2, (NqC0 + MpC0)*NB_A ) + NB_A * NB_A
else if SIDE = 'R', LWORK >= MAX( (NB_A*(NB_A-1))/2, ( NqC0 + MAX( NpA0 + NUMROC(
NUMROC( N+ICOFFC, NB_A, 0, 0, NPCOL ), NB_A, 0, 0, LCMQ ), MpC0 ) )*NB_A ) +
NB_A * NB_A
end if
where LCMQ = LCM / NPCOL with LCM = ICLM( NPROW, NPCOL ),
IROFFA = MOD( IA-1, MB_A ), ICOFFA = MOD( JA-1, NB_A ), IAROW = INDXG2P( IA, MB_A, MYROW, RSRC_A, NPROW ), NpA0 = NUMROC( N+IROFFA, MB_A, MYROW, IAROW, NPROW ),
IROFFC = MOD( IC-1, MB_C ), ICOFFC = MOD( JC-1, NB_C ), ICROW = INDXG2P( IC, MB_C, MYROW, RSRC_C, NPROW ), ICCOL = INDXG2P( JC, NB_C, MYCOL, CSRC_C, NPCOL ), MpC0 = NUMROC( M+IROFFC, MB_C, MYROW, ICROW, NPROW ), NqC0 = NUMROC( N+ICOFFC, NB_C, MYCOL, ICCOL, NPCOL ),
ILCM, INDXG2P and NUMROC are ScaLAPACK tool functions; MYROW, MYCOL, NPROW and NPCOL can be determined by calling the subroutine BLACS_GRIDINFO.
π heads up bestie: ifLWORK = -1, thenLWORKis 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 byPXERBLA. so don't be out here expecting a yell, okay?
INFO(global output)INTEGERβ= 0: successful exit.< 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₯ Alignment requirements π₯
the distributed submatrices A(IA:*, JA:*) and C(IC:IC+M-1,JC:JC+N-1) must verify some alignment properties, namely the following expressions should be true:
If SIDE = 'L', ( MB_A.EQ.MB_C .AND. IROFFA.EQ.IROFFC .AND. IAROW.EQ.ICROW )
If SIDE = 'R', ( MB_A.EQ.NB_C .AND. IROFFA.EQ.ICOFFC )
like, if those aren't true, that's not the vibe. fix your alignment first, queen. π
π SEE ALSO π
hmm, the original page doesn't actually list a SEE ALSO section, bestie β but PSGEQLF is all up in this description (that's where Q comes from, that's where TAU comes from, that's the whole origin story π), so go say hi to her page too.
and that's the whole page, no crumbs left, every flag, every formula, everyLOCrandLOCcaccounted for. πβ¨
this was LAPACK version 1.5, dated 12 May 1997 β yes, she's vintage, she's iconic, she ate and left no crumbs. mwah. π π
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