PSORMHR(l)
π PSORMHR(l) β the manual, but make it bestie π
okay so you found PSORMHR in LAPACK (version 1.5, a certified classic) and you're like "what is this even doing" β don't worry, I got you. sit down, hydrate, let's read a Fortran manpage together π
β¨ NAME β¨
PSORMHR 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'
πΈ SYNOPSIS πΈ
SUBROUTINE PSORMHR( SIDE, TRANS, M, N, ILO, IHI, A, IA, JA, DESCA, TAU,
C, IC, JC, DESCC, WORK, LWORK, INFO )
CHARACTER SIDE, TRANS
INTEGER IA, IC, IHI, ILO, INFO, JA, JC, LWORK, M, N
INTEGER DESCA( * ), DESCC( * )
REAL A( * ), C( * ), TAU( * ), WORK( * )
π PURPOSE π
PSORMHR 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 of order nq, with nq = m if SIDE = 'L' and nq = n if SIDE = 'R'. Q is defined as the product of IHI-ILO elementary reflectors, as returned by PSGEHRD:
Q = H(ilo) H(ilo+1) . . . H(ihi-1).
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_ )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
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.ILO,IHIβ (global input) INTEGER.ILOandIHImust have the same values as in the previous call ofPSGEHRD. Q is equal to the unit matrix except in the distributed submatrixQ(ia+ilo:ia+ihi-1,ia+ilo:ja+ihi-1). IfSIDE = 'L',1 <= ILO <= IHI <= max(1,M); ifSIDE = 'R',1 <= ILO <= IHI <= max(1,N);ILOandIHIare relative indexes.Aβ (local input) REAL pointer 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'. The vectors which define the elementary reflectors, as returned byPSGEHRD.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) INTEGER array of dimensionDLEN_. The array descriptor for the distributed matrix A.TAUβ (local input) REAL, array, dimensionLOCc(JA+M-2)ifSIDE = 'L', andLOCc(JA+N-2)ifSIDE = 'R'. This array contains the scalar factorsTAU(j)of the elementary reflectorsH(j)as returned byPSGEHRD.TAUis tied to the distributed matrix A.Cβ (local input/local output) REAL pointer 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) INTEGER array of dimensionDLEN_. The array descriptor for the distributed matrix C.WORKβ (local workspace/local output) REAL array, 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
IAA = IA + ILO; JAA = JA+ILO-1; If SIDE = 'L', MI = IHI-ILO; NI
= N; ICC = IC + ILO; JCC = JC; LWORK >= MAX( (NB_A*(NB_A-1))/2,
(NqC0 + MpC0)*NB_A ) + NB_A * NB_A else if SIDE = 'R', MI = M;
NI = IHI-ILO; ICC = IC; JCC = JC + ILO; LWORK >= MAX(
(NB_A*(NB_A-1))/2, ( NqC0 + MAX( NpA0 + NUMROC( NUMROC(
NI+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( IAA-1, MB_A ), ICOFFA = MOD( JAA-1, NB_A ), IAROW
= INDXG2P( IAA, MB_A, MYROW, RSRC_A, NPROW ), NpA0 = NUMROC(
NI+IROFFA, MB_A, MYROW, IAROW, NPROW ),
IROFFC = MOD( ICC-1, MB_C ), ICOFFC = MOD( JCC-1, NB_C ), ICROW
= INDXG2P( ICC, MB_C, MYROW, RSRC_C, NPROW ), ICCOL = INDXG2P(
JCC, NB_C, MYCOL, CSRC_C, NPCOL ), MpC0 = NUMROC( MI+IROFFC,
MB_C, MYROW, ICROW, NPROW ), NqC0 = NUMROC( NI+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 (global 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.
π 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 )
bestie. if those don't line up, it is NOT giving. check your alignment fr fr π
okay that's the whole thing, you ate that π«Ά this page is LAPACK version 1.5, dated 12 May 1997, and it's iconic honestly. go forth and overwrite sub( C ) responsibly πβ¨
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