PCGERQF(l)
π PCGERQF β the RQ glow-up π
okay bestie, sit down, hydrate, because we're about to do a RQ factorization on a complex distributed M-by-N matrix and it's gonna be so good. This is a LAPACK routine, manual page PCGERQF(l), and she is giving β¨ parallel linear algebra royalty β¨.
πΈ NAME πΈ
PCGERQF β compute a RQ factorization of a complex distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = R * Q. no cap, that's the whole job description.
π SYNOPSIS π
SUBROUTINE PCGERQF( M, N, A, IA, JA, DESCA, TAU, WORK, LWORK, INFO )
INTEGER IA, INFO, JA, LWORK, M, N
INTEGER DESCA( * )
COMPLEX A( * ), TAU( * ), WORK( * )
literally the whole cast list right there. iconique.
π¦ PURPOSE π¦
PCGERQF computes a RQ factorization of a complex distributed M-by-N matrix
sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = R * Q.
she's not doing it alone though β this is a distributed situation, so let's talk vibes.
π Notes π
Every global data object has a lil bestie called a description vector. That vector holds all the info you need to map an object element to its process and memory location. it's giving "personal assistant for your array."
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". (yes, we're doing grammar now. multitasking queen.)
So here's the lore β notation, where it's stored, and what it means:
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. she's global but her number is fluid, we love that for her πM_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)).
Okay so let K be the number of rows or columns of a distributed matrix, and assume its process grid has dimension p x q. (main character grid energy fr fr.)
LOCr( K )= the number of elements of K that a process would receive if K were distributed over the p processes of its process column.LOCc( K )= 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
β¨ ARGUMENTS β¨
Mβ (global input)INTEGER. The number of rows to be operated on, i.e. the number of rows of the distributed submatrixsub( A ).M >= 0. she can be zero, she can be huge, she contains multitudes.Nβ (global input)INTEGER. The number of columns to be operated on, i.e. the number of columns of the distributed submatrixsub( A ).N >= 0.Aβ (local input/local output)COMPLEXpointer into the local memory to an array of dimension(LLD_A, LOCc(JA+N-1)). On entry, the local pieces of the M-by-N distributed matrixsub( A )which is to be factored. On exit:- if
M <= N, the upper triangle ofA( IA:IA+M-1, JA+N-M:JA+N-1 )contains the M by M upper triangular matrixR; - if
M >= N, the elements on and above the(M-N)-th subdiagonal contain the M by N upper trapezoidal matrixR; - the remaining elements, with the array
TAU, represent the unitary matrixQas a product of elementary reflectors (see Further Details).
- if
π«Ά glow-up arc: goes in as your matrix, comes out as R plus the receipts for Q.
IAβ (global input)INTEGER. The row index in the global arrayAindicating the first row ofsub( A ).JAβ (global input)INTEGER. The column index in the global arrayAindicating the first column ofsub( A ).DESCAβ (global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixA. her little info card πTAUβ (local output)COMPLEX, array, dimensionLOCr(IA+M-1). This array contains the scalar factors of the elementary reflectors.TAUis tied to the distributed matrixA. they're bonded, iykyk.WORKβ (local workspace/local output)COMPLEXarray, 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
LWORK >= MB_A * ( Mp0 + Nq0 + MB_A ),
where
IROFF = MOD( IA-1, MB_A ),
ICOFF = MOD( JA-1, NB_A ),
IAROW = INDXG2P( IA, MB_A, MYROW, RSRC_A, NPROW ),
IACOL = INDXG2P( JA, NB_A, MYCOL, CSRC_A, NPCOL ),
Mp0 = NUMROC( M+IROFF, MB_A, MYROW, IAROW, NPROW ),
Nq0 = NUMROC( N+ICOFF, NB_A, MYCOL, IACOL, NPCOL ),
and NUMROC, INDXG2P are ScaLAPACK tool functions; MYROW, MYCOL, NPROW and NPCOL can be determined by calling the subroutine BLACS_GRIDINFO.
π¨ bestie listen: ifLWORK = -1, thenLWORKis 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 byPXERBLA. she's just window shopping, not buying. no drama, no error.
INFOβ (global output)INTEGER.= 0: successful exit π slay.< 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 FURTHER DETAILS π
The matrix Q is represented as a product of elementary reflectors
Q = H(ia)' H(ia+1)' . . . H(ia+k-1)', where k = min(m,n).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a complex scalar, and v is a complex vector with
v(n-k+i+1:n) = 0 and v(n-k+i) = 1;
conjg(v(1:n-k+i-1)) is stored on exit in A(ia+m-k+i-1,ja:ja+n-k+i-2), and tau in TAU(ia+m-k+i-1).
like. she left the reflectors behind so you can rebuild Q later. that's called leaving the recipe, and it's iconic behavior. π
β SEE ALSO β
no SEE ALSO section on this page, bestie β this one's a standalone queen. the tool functions she leans on (NUMROC, INDXG2P, BLACS_GRIDINFO) get their own shoutouts up in ARGUMENTS. π¦
π one more time for the people in the back:IA,JA,DESCA,M,N,TAU,WORK,LWORK,INFOβ every single one matters, andLWORK >= MB_A * ( Mp0 + Nq0 + MB_A )is not a suggestion. respect the workspace or the routine will simply not vibe with you.
this has been PCGERQF(l), a LAPACK routine, version 1.5, dated 12 May 1997. yeah she's vintage, and vintage is just another word for timeless. mwah. 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