PSLARZT(l)
π PSLARZT(l) β LAPACK auxiliary routine, bestie edition π
okay so this is PSLARZT, a LAPACK auxiliary routine (from the <pink>l</pink> manual, i.e. the local one), and yes she's still out here running on LAPACK version 1.5 energy. Buckle up, we're forming triangular factors and it's honestly giving math girlboss. β¨
πΈ NAME πΈ
PSLARZT β form the triangular factor T of a real block reflector H of order > n, which is defined as a product of k elementary reflectors as returned by PSTZRZF. no cap, that's literally her whole job. π«Ά
π SYNOPSIS π
SUBROUTINE PSLARZT( DIRECT, STOREV, N, K, V, IV, JV, DESCV, TAU, T, WORK
)
CHARACTER DIRECT, STOREV
INTEGER IV, JV, K, N
INTEGER DESCV( * )
REAL TAU( * ), T( * ), V( * ), WORK( * )
like look at that signature. gorgeous. iconic. π
π¦ PURPOSE π¦
PSLARZT forms the triangular factor T of a real block reflector H of order > n, which is defined as a product of k elementary reflectors as returned by PSTZRZF.
so here's the vibe breakdown:
- If
DIRECT = 'F', thenH = H(1) H(2) . . . H(k)andTis upper triangular; - If
DIRECT = 'B', thenH = H(k) . . . H(2) H(1)andTis lower triangular.
and for the vectors:
- If
STOREV = 'C', the vector which defines the elementary reflectorH(i)is stored in the i-th column of the arrayV, and
H = I - V * T * V'
- If
STOREV = 'R', the vector which defines the elementary reflectorH(i)is stored in the i-th row of the arrayV, and
H = I - V' * T * V
lowkey important: currently, onlySTOREV = 'R'andDIRECT = 'B'are supported. don't come for her about the others, she's working on it. π
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), stored inDESCA( DTYPE_ )β the descriptor type. In this case,DTYPE_A = 1.CTXT_A(global), stored inDESCA( CTXT_ )β the BLACS context handle, indicating the BLACS process gridAis distributed over. The context itself is global, but the handle (the integer value) may vary.M_A(global), stored inDESCA( M_ )β the number of rows in the global arrayA.N_A(global), stored inDESCA( N_ )β the number of columns in the global arrayA.MB_A(global), stored inDESCA( MB_ )β the blocking factor used to distribute the rows of the array.NB_A(global), stored inDESCA( NB_ )β the blocking factor used to distribute the columns of the array.RSRC_A(global), stored inDESCA( RSRC_ )β the process row over which the first row of the arrayAis distributed.CSRC_A(global), stored inDESCA( CSRC_ )β the process column over which the first column of the arrayAis distributed.LLD_A(local), 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
DIRECT(global input)CHARACTERβ specifies the order in which the elementary reflectors are multiplied to form the block reflector:= 'F':H = H(1) H(2) . . . H(k)(Forward, not supported yet)= 'B':H = H(k) . . . H(2) H(1)(Backward)
STOREV(global input)CHARACTERβ specifies how the vectors which define the elementary reflectors are stored (see also Further Details):= 'R': rowwise
N(global input)INTEGERβ the number of meaningful entries of the block reflectorH.N >= 0. (yes bestie, zero is allowed, we love an inclusive queen π«Ά)K(global input)INTEGERβ the order of the triangular factorT(= the number of elementary reflectors).1 <= K <= MB_V (= NB_V).V(input/output)REALpointer into the local memory to an array of local dimension(LOCr(IV+K-1),LOCc(JV+N-1)). The distributed matrixVcontains the Householder vectors. See further details. (yes she's both input AND output, she contains multitudes β¨)IV(global input)INTEGERβ the row index in the global arrayVindicating the first row ofsub( V ).JV(global input)INTEGERβ the column index in the global arrayVindicating the first column ofsub( V ).DESCV(global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixV.TAU(local input)REAL, array, dimensionLOCr(IV+K-1)ifINCV = M_V, andLOCc(JV+K-1)otherwise. This array contains the Householder scalars related to the Householder vectors.TAUis tied to the distributed matrixV. (they're attached, it's a whole thing π)T(local output)REALarray, dimension(MB_V,MB_V). It contains the k-by-k triangular factor of the block reflector associated withV.Tis lower triangular.WORK(local workspace)REALarray, dimension(K*(K-1)/2)
π FURTHER DETAILS π
The shape of the matrix V and the storage of the vectors which define the H(i) is best illustrated by the following example with n = 5 and k = 3. The elements equal to 1 are not stored; the corresponding array elements are modified but restored on exit. The rest of the array is not used.
DIRECT = 'F' and STOREV = 'C': DIRECT = 'F' and STOREV = 'R':
______V_____
( v1 v2 v3 ) / ( v1 v2
v3 ) ( v1 v1 v1 v1 v1 . . . . 1 )
V = ( v1 v2 v3 ) ( v2 v2 v2 v2 v2 . . . 1 )
( v1 v2 v3 ) ( v3 v3 v3 v3 v3 . . 1 )
( v1 v2 v3 )
. . .
. . .
1 . .
1 .
1
DIRECT = 'B' and STOREV = 'C': DIRECT = 'B' and STOREV = 'R':
______V_____
1 /
. 1 ( 1 . . . . v1 v1 v1 v1 v1 )
. . 1 ( . 1 . . . v2 v2 v2 v2 v2 )
. . . ( . . 1 . . v3 v3 v3 v3 v3 )
. . .
( v1 v2 v3 )
( v1 v2 v3 )
V = ( v1 v2 v3 )
( v1 v2 v3 )
( v1 v2 v3 )
like, stare at it for a sec. it'll click. trust. π§
and that's the whole page, bestie!! this was PSLARZT(l), straight out of LAPACK version 1.5, dated 12 May 1997 β yes she's vintage, yes she still slays. πβ¨π go forth and form those triangular factors. periodt. 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