PDORM2R(l)
π PDORM2R π
okay bestie, welcome to PDORM2R(l) β a LAPACK routine, version 1.5, and she is that girl. grab a strawberry drink π and let's get into it.
β¨ NAME β¨
PDORM2R β overwrite 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'
like yes that's literally her whole job and she eats every time π
π SYNOPSIS π
SUBROUTINE PDORM2R( 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( * )
DOUBLE PRECISION A( * ), C( * ), TAU( * ), WORK( * )
π¦ PURPOSE π¦
PDORM2R 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 PDGEQRF. Q is of order M if SIDE = 'L' and of order N if SIDE = 'R'. periodt π
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".
DTYPE_A(global) β stored inDESCA( DTYPE_ ): the descriptor type. In this case,DTYPE_A = 1.CTXT_A(global) β stored inDESCA( CTXT_ ): 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_ ): the number of rows in the global array A.N_A(global) β stored inDESCA( N_ ): the number of columns in the global array A.MB_A(global) β stored inDESCA( MB_ ): the blocking factor used to distribute the rows of the array.NB_A(global) β stored inDESCA( NB_ ): the blocking factor used to distribute the columns of the array.RSRC_A(global) β stored inDESCA( RSRC_ ): the process row over which the first row of the array A is distributed.CSRC_A(global) β stored inDESCA( CSRC_ ): the process column over which the first column of the array A is distributed.LLD_A(local) β 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
π ARGUMENTS π
SIDEβ (global input)CHARACTER= 'L': apply Q or Q**T from the Left;= 'R': apply Q or Q**T from the Right.
TRANSβ (global input)CHARACTER= 'N': No transpose, apply Q;= 'T': Transpose, apply Q**T.
Mβ (global input)INTEGER. The number of rows to be operated on, i.e. the number of rows of the distributed submatrixsub( C ).M >= 0.Nβ (global input)INTEGER. The number of columns to be operated on, i.e. the number of columns of the distributed submatrixsub( C ).N >= 0.Kβ (global input)INTEGER. The number of elementary reflectors whose product defines the matrix Q. IfSIDE = 'L',M >= K >= 0; ifSIDE = 'R',N >= K >= 0.Aβ (local input)DOUBLE PRECISIONpointer 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 byPDGEQRFin the K columns 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) ).IAβ (global input)INTEGER. The row index in the global array A indicating the first row ofsub( A ).JAβ (global input)INTEGER. The column index in the global array A indicating the first column ofsub( A ).DESCAβ (global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrix A.TAUβ (local input)DOUBLE PRECISION, array, dimensionLOCc(JA+K-1). This array contains the scalar factorsTAU(j)of the elementary reflectorsH(j)as returned byPDGEQRF.TAUis tied to the distributed matrix A.Cβ (local input/local output)DOUBLE PRECISIONpointer 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.ICβ (global input)INTEGER. The row index in the global array C indicating the first row ofsub( C ).JCβ (global input)INTEGER. The column index in the global array C indicating the first column ofsub( C ).DESCCβ (global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrix C.WORKβ (local workspace/local output)DOUBLE PRECISIONarray, dimension(LWORK). On exit,WORK(1)returns the minimal and optimalLWORK.LWORKβ (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 ) );
- If
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.
INFOβ (local output)INTEGER= 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.
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 )
lowkey the alignment stuff is not a vibe check you can skip β if those expressions aren't true, bestie, you're gonna have a bad time π
LAPACK version 1.5 β dated 12 May 1997. that's the source and the date, and honestly she's been iconic since day one ππ
that's the whole page, you ate it up fr fr. go forth and PDORM2R responsibly π¦β¨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