PDORMQR(l)

📦 version 1.5, in ubuntu jammy

💖 PDORMQR 💖

okay bestie, this is a LAPACK routine — version 1.5 — and it's a ScaLAPACK parallel joint, so buckle up 🫶

✨ NAME ✨

PDORMQR — 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' 💅

🌸 SYNOPSIS 🌸

SUBROUTINE PDORMQR( 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( * )

🎀 PURPOSE 🎀

So PDORMQR 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'. no cap 💫

Notes

Every global data object is described by an associated description vector. That vector stores the info you need to build 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) — 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 distributed over. The context itself is global, 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

💅 ARGUMENTS 💅

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.
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 number of elementary reflectors whose product defines the matrix Q. If SIDE = 'L', M >= K >= 0; if SIDE = 'R', N >= K >= 0. ✨
A — (local input) DOUBLE PRECISION pointer 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 reflector H(j), JA <= j <= JA+K-1, as returned by PDGEQRF in the K columns of its distributed matrix argument A(IA:*,JA:JA+K-1). A(IA:*,JA:JA+K-1) is modified by the routine but restored on exit. If SIDE = 'L', LLD_A >= MAX( 1, LOCr(IA+M-1) ); if SIDE = 'R', LLD_A >= MAX( 1, LOCr(IA+N-1) ).
IA — (global input) INTEGER The row index in the global array A indicating the first row of sub( A ).
JA — (global input) INTEGER The column index in the global array A indicating the first column of sub( A ).
DESCA — (global and local input) INTEGER array of dimension DLEN_. The array descriptor for the distributed matrix A.
TAU — (local input) DOUBLE PRECISION, array, dimension LOCc(JA+K-1). This array contains the scalar factors TAU(j) of the elementary reflectors H(j) as returned by PDGEQRF. TAU is tied to the distributed matrix A. 🦋
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 local pieces of the 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/local output) DOUBLE PRECISION array, dimension (LWORK). On exit, WORK(1) returns the minimal and optimal LWORK. 🌟
LWORK — (local or global input) INTEGER The dimension of the array WORK. LWORK is local input and must be at least

If SIDE = 'L', LWORK >= MAX( (NB_A*(NB_A-1))/2, (NqC0 + MpC0)*NB_A ) + NB_A * NB_A
else if SIDE = 'R', LWORK >= MAX( (NB_A*(NB_A-1))/2, ( NqC0 + MAX( NpA0 +
    NUMROC( NUMROC( N+ICOFFC, NB_A, 0, 0, NPCOL ), NB_A, 0, 0, LCMQ ), MpC0 ) )*NB_A )
    + NB_A * NB_A
end if

where LCMQ = LCM / NPCOL with LCM = ICLM( NPROW, NPCOL ),

IROFFA = MOD( IA-1, MB_A ), ICOFFA = MOD( JA-1, NB_A ), IAROW = INDXG2P( IA, MB_A, MYROW, RSRC_A, NPROW ),
NpA0 = NUMROC( N+IROFFA, MB_A, MYROW, IAROW, 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 ),
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.

INFO — (global output) INTEGER
- = 0: successful exit 🎉
- < 0: If the i-th argument is an array and the j-entry had an illegal value, then INFO = -(i*100+j); if the i-th argument is a scalar and had an illegal value, then INFO = -i.

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 )

fr fr bestie, if those alignment checks are lying to you, the routine will not be your friend. respect the block sizes. 💀

okay that's the whole thing, go forth and slay your distributed orthogonal transforms 💖✨🌸🦋👑💅 — this was LAPACK version 1.5, dated 12 May 1997, and honestly? iconic of it. periodt. 🎀

📦 where this page comes from

ubuntu jammy: scalapack-doc 1.5-11
💖 girlified by deepseek-ai/DeepSeek-V4.1-Flash on 2026-10-14: a language model's rewrite of the original, under its terms