A Parallel Subspace Iteration Method for Generalized Eigenvalue Problems Based on Multi-core Platform

Author

Wang, Shunxu

Author_Institution

Sch. of Sci., Huaihai Inst. of Technol., Lianyungang, China

fYear

2011

fDate

9-11 Dec. 2011

Firstpage

315

Lastpage

318

Abstract

A parallel subspace iteration method for solving eigenvalue problem of based on multi-core platform is presented, which can solve several extreme eigenpair in parallel. Compared with Jacobi-Davidson method, the dimension number of the subspace in the method keeps unchanged, which makes it easier for the programming implementation. Numerical experiments are performed with a quad-core computer under the joint programming environment of Intel Fortran and OpenMp. The computation of the plane wing frequency and aircraft pylon for a real model airplane is taken as an example. As a result, the first 10 frequencies of a plane wing and an aircraft pylon are provided which shown the efficiency and applicability of our parallel computation algorithm.

Keywords

eigenvalues and eigenfunctions; multiprocessing systems; parallel algorithms; Intel Fortran; Jacobi-Davidson method; OpenMp; aircraft pylon; eigenpair; generalized eigenvalue problems; joint programming environment; multicore platform; parallel computation algorithm; parallel subspace iteration method; plane wing frequency; quad-core computer; real model airplane; Aircraft; Eigenvalues and eigenfunctions; Equations; Multicore processing; Poles and towers; Software; Vectors; Generalized eigenproblem; OpenMP; Parallel processing; Subspace method;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel Architectures, Algorithms and Programming (PAAP), 2011 Fourth International Symposium on

Conference_Location

Tianjin

Print_ISBN

978-1-4577-1808-3

Type

conf

DOI

10.1109/PAAP.2011.47

Filename

6128524