PZGGRQF(l)
π PZGGRQF π
okay bestie, sit down, hydrate, because we're reading a page straight out of the l manual (that's the LAPACK/ScaLAPACK section, iykyk) and it is lowkey a banger. this routine is a whole main character and it's about to do algebra on your distributed matrices. no cap. π«Ά
πΈ NAME πΈ
PZGGRQF β computes a generalized RQ factorization of an M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1). that's it. that's the job. slay. π
β¨ SYNOPSIS β¨
SUBROUTINE PZGGRQF( M, P, N, A, IA, JA, DESCA, TAUA, B, IB, JB, DESCB,
TAUB, WORK, LWORK, INFO )
INTEGER IA, IB, INFO, JA, JB, LWORK, M, N, P
INTEGER DESCA( * ), DESCB( * )
COMPLEX*16 A( * ), B( * ), TAUA( * ), TAUB( * ), WORK( * )
look at all those arguments. iconic. every single one of them matters, so don't skip the ARGUMENTS section, bestie, I'm begging. π
π PURPOSE π
so PZGGRQF computes a generalized RQ factorization of an M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) and a P-by-N matrix sub( B ) = B(IB:IB+P-1,JB:JB+N-1):
sub( A ) = R*Q, sub( B ) = Z*T*Q,
where Q is an N-by-N unitary matrix, Z is a P-by-P unitary matrix, and R and T assume one of these forms:
if M <= N, R = ( 0 R12 ) M, or if M > N, R = ( R11 ) M-N,
N-M M ( R21 ) N
N
where R12 or R21 is upper triangular, and
if P >= N, T = ( T11 ) N , or if P < N, T = ( T11 T12 ) P,
( 0 ) P-N P N-P
N
where T11 is upper triangular.
and here's the juicy part π β in particular, if sub( B ) is square and nonsingular, the GRQ factorization of sub( A ) and sub( B ) implicitly gives the RQ factorization of sub( A )*inv( sub( B ) ):
sub( A )*inv( sub( B ) ) = (R*inv(T))*Z'
where inv( sub( B ) ) denotes the inverse of the matrix sub( B ), and Z' denotes the conjugate transpose of matrix Z. the math is mathing, periodt. β
π Notes π
every 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. it's giving β¨adminβ¨ but for matrices.
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".
π NOTATION β STORED IN β EXPLANATION
DTYPE_A(global) β stored inDESCA( DTYPE_ ): the descriptor type. in this case,DTYPE_A = 1.CTXT_A(global) β stored inDESCA( 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) β stored inDESCA( M_ ): the number of rows in the global array A.N_A(global) β stored inDESCA( N_ ): the number of columns in the global array A.MB_A(global) β stored inDESCA( MB_ ): the blocking factor used to distribute the rows of the array.NB_A(global) β stored inDESCA( NB_ ): the blocking factor used to distribute the columns of the array.RSRC_A(global) β stored inDESCA( RSRC_ ): the process row over which the first row of the array A is distributed.CSRC_A(global) β stored inDESCA( CSRC_ ): the process column over which the first column of the array A is distributed.LLD_A(local) β stored inDESCA( LLD_ ): the leading dimension of the local array.LLD_A >= MAX(1,LOCr(M_A)).
okay so now: 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
M(global input)INTEGERβ the number of rows to be operated on i.e the number of rows of the distributed submatrixsub( A ).M >= 0.P(global input)INTEGERβ the number of rows to be operated on i.e the number of rows of the distributed submatrixsub( B ).P >= 0.N(global input)INTEGERβ the number of columns to be operated on i.e the number of columns of the distributed submatricessub( A )andsub( B ).N >= 0.A(local input/local output)COMPLEX*16pointer 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, ifM <= N, the upper triangle ofA( IA:IA+M-1, JA+N-M:JA+N-1 )contains the M by M upper triangular matrixR; ifM >= N, the elements on and above the(M-N)-th subdiagonal contain the M by N upper trapezoidal matrixR; the remaining elements, with the arrayTAUA, represent the unitary matrixQas a product of elementary reflectors (see Further Details). π₯IA(global input)INTEGERβ the row index in the global arrayAindicating the first row ofsub( A ).JA(global input)INTEGERβ the column index in the global arrayAindicating the first column ofsub( A ).DESCA(global and local input)INTEGERarray of dimensionDLEN_. the array descriptor for the distributed matrixA.TAUA(local output)COMPLEX*16, array, dimensionLOCr(IA+M-1)β this array contains the scalar factors of the elementary reflectors which represent the unitary matrixQ.TAUAis tied to the distributed matrixA(see Further Details).B(local input/local output)COMPLEX*16pointer into the local memory to an array of dimension(LLD_B, LOCc(JB+N-1)). on entry, the local pieces of the P-by-N distributed matrixsub( B )which is to be factored. on exit, the elements on and above the diagonal ofsub( B )contain themin(P,N)by N upper trapezoidal matrixT(Tis upper triangular ifP >= N); the elements below the diagonal, with the arrayTAUB, represent the unitary matrixZas a product of elementary reflectors (see Further Details).IB(global input)INTEGERβ the row index in the global arrayBindicating the first row ofsub( B ).JB(global input)INTEGERβ the column index in the global arrayBindicating the first column ofsub( B ).DESCB(global and local input)INTEGERarray of dimensionDLEN_. the array descriptor for the distributed matrixB.TAUB(local output)COMPLEX*16, array, dimensionLOCc(JB+MIN(P,N)-1). this array contains the scalar factorsTAUBof the elementary reflectors which represent the unitary matrixZ.TAUBis tied to the distributed matrixB(see Further Details).WORK(local workspace/local output)COMPLEX*16array, dimension(LWORK). on exit,WORK(1)returns the minimal and optimalLWORK. π«ΆLWORK(local or global input)INTEGERβ the dimension of the arrayWORK.LWORKis local input and must be at least
LWORK >= MAX( MB_A * ( MpA0 + NqA0 + MB_A ), MAX( (MB_A*(MB_A-1))/2, (PpB0 + NqB0)*MB_A ) + MB_A * MB_A, NB_B * ( PpB0 + NqB0 + NB_B ) ),
where
IROFFA = MOD( IA-1, MB_A ), ICOFFA = MOD( JA-1, NB_A ), IAROW = INDXG2P( IA, MB_A, MYROW, RSRC_A, NPROW ), IACOL = INDXG2P( JA, NB_A, MYCOL, CSRC_A, NPCOL ), MpA0 = NUMROC( M+IROFFA, MB_A, MYROW, IAROW, NPROW ), NqA0 = NUMROC( N+ICOFFA, NB_A, MYCOL, IACOL, NPCOL ),
IROFFB = MOD( IB-1, MB_B ), ICOFFB = MOD( JB-1, NB_B ), IBROW = INDXG2P( IB, MB_B, MYROW, RSRC_B, NPROW ), IBCOL = INDXG2P( JB, NB_B, MYCOL, CSRC_B, NPCOL ), PpB0 = NUMROC( P+IROFFB, MB_B, MYROW, IBROW, NPROW ), NqB0 = NUMROC( N+ICOFFB, NB_B, MYCOL, IBCOL, NPCOL ),
and NUMROC, INDXG2P are ScaLAPACK tool functions; MYROW, MYCOL, NPROW and NPCOL can be determined by calling the subroutine BLACS_GRIDINFO.
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. sneaky but valid, bestie. π
INFO(global output)INTEGER= 0: successful exit π< 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 - taua * v * v'
where taua 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 taua in TAUA(ia+m-k+i-1).
- to form
Qexplicitly, use ScaLAPACK subroutinePZUNGRQ. - to use
Qto update another matrix, use ScaLAPACK subroutinePZUNMRQ.
the matrix Z is represented as a product of elementary reflectors
Z = H(jb) H(jb+1) . . . H(jb+k-1), where k = min(p,n).
each H(i) has the form
H(i) = I - taub * v * v'
where taub is a complex scalar, and v is a complex vector with v(1:i-1) = 0 and v(i) = 1; v(i+1:p) is stored on exit in B(ib+i:ib+p-1,jb+i-1), and taub in TAUB(jb+i-1).
- to form
Zexplicitly, use ScaLAPACK subroutinePZUNGQR. - to use
Zto update another matrix, use ScaLAPACK subroutinePZUNMQR.
π Alignment requirements π
the distributed submatrices sub( A ) and sub( B ) must verify some alignment properties, namely the following expression should be true:
( NB_A.EQ.NB_B .AND. ICOFFA.EQ.ICOFFB .AND. IACOL.EQ.IBCOL )
bestie. fr fr. if that expression isn't true, you're not getting a factorization, you're getting a vibe check failure. check your descriptors before you call this. π
and that's the whole page, gorgeous. π this was LAPACK routine version 1.5, dated 12 May 1997 β yes she's a vintage icon and she still eats. go forth, factor your matrices, and remember: LWORK = -1 first. mwah. πβ¨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