PCLARZB(l)
β¨ PCLARZB(l) β¨
Okay bestie, welcome to the manual for PCLARZB(l) β a LAPACK auxiliary routine (version 1.5) that is literally the moment for complex block reflectors. π
It applies a complex block reflector Q or its conjugate transpose Q**H to a complex M-by-N distributed matrix sub( C ) denoting C(IC:IC+M-1,JC:JC+N-1), from the left or the right. No cap, it's giving serious linear algebra energy. π¦
π NAME π
PCLARZB β applies a complex block reflector Q or its conjugate transpose Q**H to a complex M-by-N distributed matrix sub( C ) denoting C(IC:IC+M-1,JC:JC+N-1), from the left or the right. Periodt. π
π§Ύ SYNOPSIS π§Ύ
SUBROUTINE PCLARZB( SIDE, TRANS, DIRECT, STOREV, M, N, K, L, V, IV, JV,
DESCV, T, C, IC, JC, DESCC, WORK )
CHARACTER DIRECT, SIDE, STOREV, TRANS
INTEGER IC, IV, JC, JV, K, L, M, N
INTEGER DESCC( * ), DESCV( * )
COMPLEX C( * ), T( * ), V( * ), WORK( * )
π― PURPOSE π―
PCLARZB applies a complex block reflector Q or its conjugate transpose Q**H to a complex M-by-N distributed matrix sub( C ) denoting C(IC:IC+M-1,JC:JC+N-1), from the left or the right.
Q is a product of k elementary reflectors as returned by PCTZRZF.
β οΈ Currently, onlySTOREV = 'R'andDIRECT = 'B'are supported. So don't come for me with the other options, bestie. π
π Notes π
Every global data object is described by an associated description vector. This vector stores the info required to establish the mapping between an object element and its corresponding process and memory location. Iykyk. π«Ά
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".
Here's the notation tea, bestie β keep every detail:
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)).
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
Okay, let's go through every single argument, no skips. π
SIDE(global input)CHARACTER- = 'L': apply Q or Q**H from the Left;
- = 'R': apply Q or Q**H from the Right.
TRANS(global input)CHARACTER- = 'N': No transpose, apply Q;
- = 'C': Conjugate transpose, apply Q**H.
DIRECT(global input)CHARACTER- Indicates how H is formed from a product of elementary reflectors
- = 'F':
H = H(1) H(2) . . . H(k)(Forward, not supported yet) - = 'B':
H = H(k) . . . H(2) H(1)(Backward)
STOREV(global input)CHARACTER- Indicates how the vectors which define the elementary reflectors are stored:
- = 'C': Columnwise (not supported yet)
- = 'R': Rowwise
M(global input)INTEGER- The number of rows to be operated on i.e the number of rows of the distributed submatrix
sub( C ).M >= 0.
- The number of rows to be operated on i.e the number of rows of the distributed submatrix
N(global input)INTEGER- The number of columns to be operated on i.e the number of columns of the distributed submatrix
sub( C ).N >= 0.
- The number of columns to be operated on i.e the number of columns of the distributed submatrix
K(global input)INTEGER- The order of the matrix T (= the number of elementary reflectors whose product defines the block reflector).
L(global input)INTEGER- The columns of the distributed submatrix
sub( A )containing the meaningful part of the Householder reflectors. IfSIDE = 'L',M >= L >= 0, ifSIDE = 'R',N >= L >= 0.
- The columns of the distributed submatrix
V(local input)COMPLEXpointer into the local memory to an array of dimension(LLD_V, LOCc(JV+M-1))ifSIDE = 'L',(LLD_V, LOCc(JV+N-1))ifSIDE = 'R'. It contains the local pieces of the distributed vectors V representing the Householder transformation as returned byPCTZRZF.LLD_V >= LOCr(IV+K-1).IV(global input)INTEGER- The row index in the global array V indicating the first row of
sub( V ).
- The row index in the global array V indicating the first row of
JV(global input)INTEGER- The column index in the global array V indicating the first column of
sub( V ).
- The column index in the global array V indicating the first column of
DESCV(global and local input)INTEGERarray of dimensionDLEN_.- The array descriptor for the distributed matrix V.
T(local input)COMPLEXarray, dimensionMB_VbyMB_V- The lower triangular matrix T in the representation of the block reflector.
C(local input/local output)COMPLEXpointer into the local memory to an array of dimension(LLD_C,LOCc(JC+N-1)). On entry, the M-by-N distributed matrixsub( C ). On exit,sub( C )is overwritten byQ*sub( C )orQ'*sub( C )orsub( C )*Qorsub( C )*Q'.IC(global input)INTEGER- The row index in the global array C indicating the first row of
sub( C ).
- The row index in the global array C indicating the first row of
JC(global input)INTEGER- The column index in the global array C indicating the first column of
sub( C ).
- The column index in the global array C indicating the first column of
DESCC(global and local input)INTEGERarray of dimensionDLEN_.- The array descriptor for the distributed matrix C.
WORK(local workspace)COMPLEXarray, dimension(LWORK)- If
STOREV = 'C', ifSIDE = 'L',LWORK >= ( NqC0 + MpC0 ) * K - else if
SIDE = 'R',LWORK >= ( NqC0 + MAX( NpV0 + NUMROC( NUMROC( N+ICOFFC, NB_V, 0, 0, NPCOL ), NB_V, 0, 0, LCMQ ), MpC0 ) ) * Kend if - else if
STOREV = 'R', ifSIDE = 'L',LWORK >= ( MpC0 + MAX( MqV0 + NUMROC( NUMROC( M+IROFFC, MB_V, 0, 0, NPROW ), MB_V, 0, 0, LCMP ), NqC0 ) ) * K - else if
SIDE = 'R',LWORK >= ( MpC0 + NqC0 ) * Kend if end if
- If
where:
LCMQ = LCM / NPCOL with LCM = ICLM( NPROW, NPCOL ),
IROFFV = MOD( IV-1, MB_V ), ICOFFV = MOD( JV-1, NB_V ), IVROW =
INDXG2P( IV, MB_V, MYROW, RSRC_V, NPROW ), IVCOL = INDXG2P( JV,
NB_V, MYCOL, CSRC_V, NPCOL ), MqV0 = NUMROC( M+ICOFFV, NB_V,
MYCOL, IVCOL, NPCOL ), NpV0 = NUMROC( N+IROFFV, MB_V, MYROW,
IVROW, 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 ), NpC0 = NUMROC( N+ICOFFC, 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.
Alignment requirements ======================
The distributed submatrices V(IV:*, JV:*) and C(IC:IC+M-1,JC:JC+N-1) must verify some alignment properties, namely the following expressions should be true:
If STOREV = 'Columnwise' If SIDE = 'Left', ( MB_V.EQ.MB_C .AND.
IROFFV.EQ.IROFFC .AND. IVROW.EQ.ICROW ) If SIDE = 'Right', (
MB_V.EQ.NB_C .AND. IROFFV.EQ.ICOFFC ) else if STOREV = 'Rowwise'
If SIDE = 'Left', ( NB_V.EQ.MB_C .AND. ICOFFV.EQ.IROFFC ) If
SIDE = 'Right', ( NB_V.EQ.NB_C .AND. ICOFFV.EQ.ICOFFC .AND.
IVCOL.EQ.ICCOL ) end if
That's literally everything, bestie. π This page is from LAPACK version 1.5, dated 12 May 1997, and it's the manual for PCLARZB(l). Stay slay, stay distributed. ππ¦β¨
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