Developer Reference for Intel® oneAPI Math Kernel Library for C

ID 766684
Date 12/16/2022
Public

A newer version of this document is available. Customers should click here to go to the newest version.

Document Table of Contents

p?syngst

Reduces a complex Hermitian-definite generalized eigenproblem to standard form.

Syntax

void pssyngst (const MKL_INT* ibtype, const char* uplo, const MKL_INT* n, float* a, const MKL_INT* ia, const MKL_INT* ja, const MKL_INT* desca, const float* b, const MKL_INT* ib, const MKL_INT* jb, const MKL_INT* descb, float* scale, float* work, const MKL_INT* lwork, MKL_INT* info);

void pdsyngst (const MKL_INT* ibtype, const char* uplo, const MKL_INT* n, double* a, const MKL_INT* ia, const MKL_INT* ja, const MKL_INT* desca, const double* b, const MKL_INT* ib, const MKL_INT* jb, const MKL_INT* descb, double* scale, double* work, const MKL_INT* lwork, MKL_INT* info);

Include Files
  • mkl_scalapack.h
Description

p?syngst reduces a complex Hermitian-definite generalized eigenproblem to standard form.

p?syngst performs the same function as p?hegst, but is based on rank 2K updates, which are faster and more scalable than triangular solves (the basis of p?syngst).

p?syngst calls p?hegst when uplo='U', hence p?hengst provides improved performance only when uplo='L', ibtype=1.

p?syngst also calls p?hegst when insufficient workspace is provided, hence p?syngst provides improved performance only when lwork >= 2 * NP0 * NB + NQ0 * NB + NB * NB

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 ).

If ibtype = 1, the problem is sub( A )*x = lambda*sub( B )*x, and sub( A ) is overwritten by inv(UH)*sub( A )*inv(U) or inv(L)*sub( A )*inv(LH)

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 )*UH or LH*sub( A )*L.

sub( B ) must have been previously factorized as UH*U or L*LH by p?potrf.

Input Parameters
ibtype

(global)

= 1: compute inv(UH)*sub( A )*inv(U) or inv(L)*sub( A )*inv(LH);

= 2 or 3: compute U*sub( A )*UH or LH*sub( A )*L.

uplo

(global)

= 'U': Upper triangle of sub( A ) is stored and sub( B ) is factored as UH*U;

= 'L': Lower triangle of sub( A ) is stored and sub( B ) is factored as L*LH.

n

(global)

The order of the matrices sub( A ) and sub( B ). n >= 0.

a

(local)

Pointer into the local memory to an array of size lld_a*LOCc(ja+n-1).

On entry, this array contains the local pieces of the n-by-n Hermitian distributed matrix sub( A ). If uplo = 'U', the leading n-by-n upper triangular part of sub( A ) contains the upper triangular part of the matrix, and its strictly lower triangular part is not referenced. If uplo = 'L', the leading n-by-n lower triangular part of sub( A ) contains the lower triangular part of the matrix, and its strictly upper triangular part is not referenced.

ia

(global)

A's global row index, which points to the beginning of the submatrix which is to be operated on.

ja

(global)

A's global column index, which points to the beginning of the submatrix which is to be operated on.

desca

(global and local)

Array of size dlen_.

The array descriptor for the distributed matrix A.

b

(local)

Pointer into the local memory to an array of size lld_b*LOCc(jb+n-1).

On entry, this array contains the local pieces of the triangular factor from the Cholesky factorization of sub( B ), as returned by p?potrf.

ib

(global)

B's global row index, which points to the beginning of the submatrix which is to be operated on.

jb

(global)

B's global column index, which points to the beginning of the submatrix which is to be operated on.

descb

(global and local)

Array of size dlen_.

The array descriptor for the distributed matrix B.

work

(local)

Array, size (lwork)

lwork

(local or global)

The size of the array work.

lwork is local input and must be at least lwork >= MAX( NB * ( NP0 +1 ), 3 * NB )

When ibtype = 1 and uplo = 'L', p?syngst provides improved performance when lwork >= 2 * NP0 * NB + NQ0 * NB + NB * NB,

where NB = mb_a = nb_a,

NP0 = numroc( n, NB, 0, 0, NPROW ),

NQ0 = numroc( n, NB, 0, 0, NPROW ),

numroc is a 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 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.

Output Parameters

a

On exit, if info = 0, the transformed matrix, stored in the same format as sub( A ).

scale

(global)

Amount by which the eigenvalues should be scaled to compensate for the scaling performed in this routine. At present, scale is always returned as 1.0, it is returned here to allow for future enhancement.

work

(local)

Array, size (lwork)

On exit, work[0] returns the minimal and optimal lwork.

info

(global)

= 0: successful exit

< 0: If the i-th argument is an array and the j-th entry had an illegal value, then info = -(i*100+j), if the i-th argument is a scalar and had an illegal value, then info = -i.