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PDLARZB - applie a real block reflector Q or its transpose Q**T to a real distributed M-by-N matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1)

SUBROUTINE PDLARZB( 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( * ) DOUBLE PRECISION C( * ), T( * ), V( * ), WORK( * )

PDLARZB applies a real block reflector Q or its transpose Q**T to a real distributed M-by-N matrix sub( C ) = 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 PDTZRZF. Currently, only STOREV = ’R’ and DIRECT = ’B’ are supported. Notes ===== 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". NOTATION STORED IN EXPLANATION --------------- -------------- -------------------------------------- DTYPE_A(global) DESCA( DTYPE_ )The descriptor type. In this case, DTYPE_A = 1. CTXT_A (global) DESCA( CTXT_ ) The BLACS context handle, indicating the BLACS process grid A is distribu- ted over. The context itself is glo- bal, but the handle (the integer value) may vary. M_A (global) DESCA( M_ ) The number of rows in the global array A. N_A (global) DESCA( N_ ) The number of columns in the global array A. MB_A (global) DESCA( MB_ ) The blocking factor used to distribute the rows of the array. NB_A (global) DESCA( NB_ ) The blocking factor used to distribute the columns of the array. RSRC_A (global) DESCA( RSRC_ ) The process row over which the first row of the array A is distributed. CSRC_A (global) DESCA( CSRC_ ) The process column over which the first column of the array A is distributed. LLD_A (local) DESCA( 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

SIDE (global input) CHARACTER = ’L’: apply Q or Q**T from the Left; = ’R’: apply Q or Q**T from the Right. TRANS (global input) CHARACTER = ’N’: No transpose, apply Q; = ’T’: Transpose, apply Q**T. 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. 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. 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. If SIDE = ’L’, M >= L >= 0, if SIDE = ’R’, N >= L >= 0. V (local input) DOUBLE PRECISION pointer into the local memory to an array of dimension (LLD_V, LOCc(JV+M-1)) if SIDE = ’L’, (LLD_V, LOCc(JV+N-1)) if SIDE = ’R’. It contains the local pieces of the distributed vectors V representing the Householder transformation as returned by PDTZRZF. 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 ). JV (global input) INTEGER The column index in the global array V indicating the first column of sub( V ). DESCV (global and local input) INTEGER array of dimension DLEN_. The array descriptor for the distributed matrix V. T (local input) DOUBLE PRECISION array, dimension MB_V by MB_V The lower triangular matrix T in the representation of the block reflector. C (local input/local output) DOUBLE PRECISION pointer into the local memory to an array of dimension (LLD_C,LOCc(JC+N-1)). On entry, the M-by-N distributed matrix sub( C ). On exit, sub( C ) is overwritten by Q*sub( C ) or Q’*sub( C ) or sub( C )*Q or sub( C )*Q’. IC (global input) INTEGER The row index in the global array C indicating the first row of sub( C ). JC (global input) INTEGER The column index in the global array C indicating the first column of sub( C ). DESCC (global and local input) INTEGER array of dimension DLEN_. The array descriptor for the distributed matrix C. WORK (local workspace) DOUBLE PRECISION array, dimension (LWORK) If STOREV = ’C’, if SIDE = ’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 ) ) * K end if else if STOREV = ’R’, if SIDE = ’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 ) * K end if end 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