PZUNMR2(l)
PZUNMR2(l) π β¨
okay bestie, welcome to the PZUNMR2 page β it's a LAPACK routine and it's version 1.5, so it's giving vintage but iconic. buckle up, we're doing linear algebra π
πΈ NAME πΈ
PZUNMR2 overwrites the general complex M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with SIDE = 'L', SIDE = 'R', TRANS = 'N'.
π SYNOPSIS π
SUBROUTINE PZUNMR2( 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( * )
COMPLEX*16 A( * ), C( * ), TAU( * ), WORK( * )
π¦ PURPOSE π¦
so PZUNMR2 overwrites the general complex M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with
TRANS = 'C': Q**H * sub( C )
sub( C ) * Q**H
where Q is a complex unitary distributed matrix defined as the product of K elementary reflectors
Q = H(1)' H(2)' . . . H(k)'
as returned by PZGERQF. Q is of order M if SIDE = 'L' and of order N if SIDE = 'R'. no cap, that's the whole vibe.
β¨ Notes β¨
okay so real talk β every global data object has an associated description vector. that vector stores literally everything you need to map an object element to its corresponding process and memory location. it's giving β¨*coordinates*β¨.
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.
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)).
now let K be the number of rows or columns of a distributed matrix, and assume 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
SIDE(global input)CHARACTERβ= 'L': applyQorQ**Hfrom the Left;= 'R': applyQorQ**Hfrom the Right. pick a side bestie, left or right πTRANS(global input)CHARACTERβ= 'N': No transpose, applyQ;= 'C': Conjugate transpose, applyQ**H.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)COMPLEX*16pointer into the local memory to an array of dimension(LLD_A,LOCc(JA+M-1))ifSIDE='L', and(LLD_A,LOCc(JA+N-1))ifSIDE='R', whereLLD_A >= MAX(1,LOCr(IA+K-1)). On entry, the i-th row must contain the vector which defines the elementary reflectorH(i),IA <= i <= IA+K-1, as returned byPZGERQFin theKrows of its distributed matrix argumentA(IA:IA+K-1,JA:*).A(IA:IA+K-1,JA:*)is modified by the routine but restored on exit. she's a little chaotic but she puts herself back together, periodt.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 input)COMPLEX*16, array, dimensionLOCc(IA+K-1). this array contains the scalar factorsTAU(i)of the elementary reflectorsH(i)as returned byPZGERQF.TAUis tied to the distributed matrixA. they're linked, fr fr.C(local input/local output)COMPLEX*16pointer 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. she ate and left no crumbs, but like, the crumbs are the old values. gone. πIC(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_. the array descriptor for the distributed matrixC.WORK(local workspace/local output)COMPLEX*16array, dimension(LWORK). on exit,WORK(1)returns the minimal and optimalLWORK. β¨receiptsβ¨LWORK(local or global input)INTEGERβ the dimension of the arrayWORK.LWORKis local input and must be at least:
If SIDE = 'L',
LWORK >= MpC0 + MAX( MAX( 1, NqC0 ),
NUMROC( NUMROC( M+IROFFC,MB_A,0,0,NPROW ),
MB_A,0,0,LCMP ) );
if SIDE = 'R',
LWORK >= NqC0 + MAX( 1, MpC0 );
where
LCMP = LCM / NPROW 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. so like, she's not gonna yell at you for the query. she's chill like that. π«Ά
INFO(local output)INTEGERβ= 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 Alignment requirements π
okay this part is the strict part, bestie. 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',
( NB_A.EQ.MB_C .AND. ICOFFA.EQ.IROFFC )
If SIDE = 'R',
( NB_A.EQ.NB_C .AND. ICOFFA.EQ.ICOFFC .AND. IACOL.EQ.ICCOL )
ngl if these are false you are in your flop era. check your descriptors. π
and that's the whole page, diva β¨
this was PZUNMR2 from LAPACK version 1.5, dated 12 May 1997 β yeah she's older than most of us but she's still iconic, still running, still slaying πππ¦πΈπ
ππβππ§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