PZHEGS2(l)
π NAME π
okay so bestie, meet PZHEGS2(l) β a LAPACK routine (version 1.5). Her whole thing? Reduce a complex Hermitian-definite generalized eigenproblem to standard form. periodt. β¨
β¨ SYNOPSIS β¨
SUBROUTINE PZHEGS2( IBTYPE, UPLO, N, A, IA, JA, DESCA, B, IB, JB, DESCB,
INFO )
CHARACTER UPLO
INTEGER IA, IB, IBTYPE, INFO, JA, JB, N
INTEGER DESCA( * ), DESCB( * )
COMPLEX*16 A( * ), B( * )
π¦ PURPOSE π¦
PZHEGS2 reduces a complex Hermitian-definite generalized eigenproblem to standard form. no cap.
In the following, sub( A ) denotes A( IA:IA+N-1, JA:JA+N-1 ) and sub( B ) denotes B( IB:IB+N-1, JB:JB+N-1 ). keep that mapping in your notes, bestie.
If IBTYPE = 1, the problem is sub( A )*x = lambda*sub( B )*x, and sub( A ) is overwritten by inv(U**H)*sub( A )*inv(U) or inv(L)*sub( A )*inv(L**H). she's getting a whole new look.
If IBTYPE = 2 or 3, the problem is sub( A )*sub( B )*x = lambda*x or sub( B )*sub( A )*x = lambda*x, and sub( A ) is overwritten by U*sub( A )*U**H or L**H*sub( A )*L. different flavor, same iconic energy.
sub( B ) must have been previously factorized as U**H*U or L*L**H by PZPOTRF. do not skip this step, fr fr.
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. iykyk.
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".
Here's the notation tea β:
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 arrayA.N_A(global) β stored inDESCA( N_ ). The number of columns in the global arrayA.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 arrayAis distributed.CSRC_A(global) β stored inDESCA( CSRC_ ). The process column over which the first column of the arrayAis distributed.LLD_A(local) β stored inDESCA( 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
π ARGUMENTS π
IBTYPE(global input) INTEGER β bestie, this is the vibe selector:= 1: computeinv(U**H)*sub( A )*inv(U)orinv(L)*sub( A )*inv(L**H);= 2or3: computeU*sub( A )*U**HorL**H*sub( A )*L.UPLO(global input) CHARACTER β which triangle are we serving?= 'U': Upper triangle ofsub( A )is stored andsub( B )is factored asU**H*U;= 'L': Lower triangle ofsub( A )is stored andsub( B )is factored asL*L**H.N(global input) INTEGER β the order of the matricessub( A )andsub( B ).N >= 0. no cap.A(local input/local output) COMPLEX16 pointer into the local memory to an array of dimension(LLD_A, LOCc(JA+N-1)).* β on entry, this array contains the local pieces of theN-by-NHermitian distributed matrixsub( A ). IfUPLO = 'U', the leadingN-by-Nupper triangular part ofsub( A )contains the upper triangular part of the matrix, and its strictly lower triangular part is not referenced. IfUPLO = 'L', the leadingN-by-Nlower triangular part ofsub( A )contains the lower triangular part of the matrix, and its strictly upper triangular part is not referenced. On exit, ifINFO = 0, the transformed matrix, stored in the same format assub( A ). she's giving input and output at the same time, iconic.IA(global input) INTEGER βA's global row index, which points to the beginning of the submatrix which is to be operated on.JA(global input) INTEGER βA's global column index, which points to the beginning of the submatrix which is to be operated on.DESCA(global and local input) INTEGER array of dimensionDLEN_. β the array descriptor for the distributed matrixA. protect her at all costs.B(local input) COMPLEX16 pointer into the local memory to an array of dimension(LLD_B, LOCc(JB+N-1)).* β on entry, this array contains the local pieces of the triangular factor from the Cholesky factorization ofsub( B ), as returned byPZPOTRF.IB(global input) INTEGER βB's global row index, which points to the beginning of the submatrix which is to be operated on.JB(global input) INTEGER βB's global column index, which points to the beginning of the submatrix which is to be operated on.DESCB(global and local input) INTEGER array of dimensionDLEN_. β the array descriptor for the distributed matrixB.INFO(global output) INTEGER β= 0: successful exit;< 0: If thei-th argument is an array and thej-entry had an illegal value, thenINFO = -(i*100+j), if thei-th argument is a scalar and had an illegal value, thenINFO = -i. so if she's negative, read the code like a text message.
and that's the whole thing, bestie π LAPACK version 1.5, dated 12 May 1997, PZHEGS2(l) said what she said. slay, stay Hermitian-definite, and may your descriptors always be valid β¨ππ
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