PSORM2R(l)
๐ PSORM2R ๐
okay bestie, gather round, because we're about to talk about PSORM2R, a LAPACK routine (version 1.5, yes she's vintage and she's iconic). This is a ScaLAPACK routine, so it's the parallel/distributed one โ she does not play around with one sad little matrix on one sad little process. We're talking BLACS grids, descriptor vectors, the whole โจsituationโจ. Stay with me, iykyk. ๐ซถ
โจ NAME โจ
PSORM2R โ 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'
yes, that's the whole name section, she's mysterious like that ๐
๐ฆ SYNOPSIS ๐ฆ
SUBROUTINE PSORM2R( 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( * )
look at all those arguments, she's high maintenance and she's worth it ๐
๐ธ PURPOSE ๐ธ
PSORM2R 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(1) H(2) . . . H(k)
as returned by PSGEQRF. And Q is of order M if SIDE = 'L', and of order N if SIDE = 'R'. periodt. ๐
๐ง Notes
Every 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. it's basically the group chat contact card for your matrix, no cap ๐
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".
So here's the lore, one bullet per entry, because we don't do tables in this house:
DTYPE_A(global) โ stored inDESCA( DTYPE_ ). The descriptor type. In this case,DTYPE_A = 1.CTXT_A(global) โ stored inDESCA( CTXT_ ). 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) โ stored inDESCA( M_ ). The number of rows in the global arrayA.N_A(global) โ stored inDESCA( N_ ). The number of columns in the global arrayA.MB_A(global) โ stored inDESCA( MB_ ). The blocking factor used to distribute the rows of the array.NB_A(global) โ stored inDESCA( NB_ ). The blocking factor used to distribute the columns of the array.RSRC_A(global) โ stored inDESCA( RSRC_ ). The process row over which the first row of the arrayAis distributed.CSRC_A(global) โ stored inDESCA( CSRC_ ). The process column over which the first column of the arrayAis distributed.LLD_A(local) โ stored inDESCA( LLD_ ). 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
math girlies rise ๐งฎโจ
๐ ARGUMENTS ๐
every single one, bestie. no skipping, we're thorough in this household.
SIDEโ (global input)CHARACTER.= 'L': applyQorQ**Tfrom the Left;= 'R': applyQorQ**Tfrom the Right.TRANSโ (global input)CHARACTER.= 'N': No transpose, applyQ;= 'T': Transpose, applyQ**T.Mโ (global input)INTEGER. The number of rows to be operated on, i.e the number of rows of the distributed submatrixsub( C ).M >= 0.Nโ (global input)INTEGER. The number of columns to be operated on, i.e the number of columns of the distributed submatrixsub( C ).N >= 0.Kโ (global input)INTEGER. The number of elementary reflectors whose product defines the matrixQ. IfSIDE = 'L',M >= K >= 0; ifSIDE = 'R',N >= K >= 0.Aโ (local input)REALpointer into the local memory to an array of dimension(LLD_A,LOCc(JA+K-1)). On entry, thej-th column must contain the vector which defines the elementary reflectorH(j),JA <= j <= JA+K-1, as returned byPSGEQRFin 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) ).IAโ (global input)INTEGER. The row index in the global arrayAindicating the first row ofsub( A ).JAโ (global input)INTEGER. The column index in the global arrayAindicating the first column ofsub( A ).DESCAโ (global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixA.TAUโ (local input)REAL, array, dimensionLOCc(JA+K-1). This array contains the scalar factorsTAU(j)of the elementary reflectorsH(j)as returned byPSGEQRF.TAUis tied to the distributed matrixA.Cโ (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.ICโ (global input)INTEGER. The row index in the global arrayCindicating the first row ofsub( C ).JCโ (global input)INTEGER. The column index in the global arrayCindicating the first column ofsub( C ).DESCCโ (global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixC.WORKโ (local workspace/local output)REALarray, dimension(LWORK). On exit,WORK(1)returns the minimal and optimalLWORK.LWORKโ (local or global input)INTEGER. The dimension of the arrayWORK.LWORKis local input and must be at least
If SIDE = 'L', LWORK >= MpC0 + MAX( 1, NqC0 ); if SIDE = 'R', LWORK >= NqC0 + MAX( MAX( 1, MpC0 ), NUMROC( NUMROC( N+ICOFFC,NB_A,0,0,NPCOL ),NB_A,0,0,LCMQ ) );
where
LCMQ = LCM / NPCOL with LCM = ICLM( NPROW, NPCOL ),
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.
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. (she just quietly does the math, no drama ๐
)
INFOโ (local 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.
๐ Alignment requirements
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 )
bestie. listen. if your stuff isn't aligned like this, she is NOT going to be happy. do the vibe check on your descriptors before you call her. ๐
and that's the whole page, gorgeous ๐ this was LAPACK routine version 1.5, dated 12 May 1997 โ yes she's a 90s baby and she's still serving. go forth, pass your descriptors correctly, and slay. mwah. ๐โจ๐
๐ฆ where this page comes from
- ubuntu jammy: scalapack-doc 1.5-11
- ๐ girlified by deepseek-ai/DeepSeek-V4.1-Flash on : a language model's rewrite of the original, under its terms