A Parallel Subspace Iteration Method for Generalized Eigenvalue Problems Based on Multi-core Platform
Parallel Architectures, Algorithms and Programming, International Symposium on (2011)
Dec. 9, 2011 to Dec. 11, 2011
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PAAP.2011.47
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.
Subspace method, OpenMP, Parallel processing, Generalized eigenproblem
S. Wang, "A Parallel Subspace Iteration Method for Generalized Eigenvalue Problems Based on Multi-core Platform," Parallel Architectures, Algorithms and Programming, International Symposium on(PAAP), Tianjin, China, 2011, pp. 315-318.