scalapack_oct_m Module Reference

This module contains interfaces for ScaLAPACK routines Interfaces are from http: More...

Detailed Description

This module contains interfaces for ScaLAPACK routines Interfaces are from http:

Note

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".

Data Types
interface	descinit
interface	iceil
interface	indxg2l
interface	indxg2p
interface	indxl2g
interface	infog2l
interface	pdgesv
interface	pdlacp3
interface	pzgesv
interface	pzlacp3
interface	scalapack_geqrf
	Computes a QR factorization of a real distributed \( m \times n\). More...
interface	scalapack_hegvx
	Computes all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite eigenproblem, of the form \( sub( A ) x=(\lambda) sub( B ) x, sub( A ) sub( B ) x=(\lambda) x, \mbox{ or } sub( B ) sub( A ) x=(\lambda) x \). Here sub(A) denoting A(IA:IA+N-1, JA:JA+N-1) is assumed to be Hermitian, and sub(B) denoting B(IB:IB+N-1, JB:JB+N-1) is assumed to be Hermitian positive definite. More...
interface	scalapack_orgqr
	Generates an \( m \times n\) real distributed matrix Q denoting A(IA:IA+M-1,JA:JA+N-1) with orthonormal columns, which is defined as the first N columns of a product of K elementary reflectors of order M. More...
interface	scalapack_potrf
	Computes the Cholesky factorization of an \( n \times n \) real symmetric positive definite distributed matrix sub(A) denoting A(IA:IA+N-1, JA:JA+N-1). More...
interface	scalapack_syev
	Computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix A by calling the recommended sequence of ScaLAPACK routines. More...
interface	scalapack_syevx
	Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix A by calling the recommended sequence of ScaLAPACK routines. Eigenvalues/vectors can be selected by specifying a range of values or a range of indices for the desired eigenvalues. More...
interface	scalapack_sygvx
	Computes all the eigenvalues, and optionally, the eigenvectors of a real generalized SY-definite eigenproblem, of the form \( sub( A ) x=(\lambda) sub( B ) x, sub( A ) sub( B ) x=(\lambda) x, \mbox{ or } sub( B ) sub( A ) x=(\lambda) x \). Here sub(A) denoting A(IA:IA+N-1, JA:JA+N-1) is assumed to be SY, and sub(B) denoting B(IB:IB+N-1, JB:JB+N-1) is assumed to be symmetric positive definite. More...