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

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1 Author(s)
Shunxu Wang ; Sch. of Sci., Huaihai Inst. of Technol., Lianyungang, China

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.

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

Date of Conference: 9-11 Dec. 2011

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