PARALLEL IMPLEMENTATION OF THE YAU AND LU METHOD FOR EIGENVALUE COMPUTATION

Authors
TISSEUR F
Citation
F. Tisseur, PARALLEL IMPLEMENTATION OF THE YAU AND LU METHOD FOR EIGENVALUE COMPUTATION, The international journal of supercomputer applications and high performance computing, 11(3), 1997, pp. 197-204
Citations number
12
Categorie Soggetti
Computer Application, Chemistry & Engineering","Computer Sciences, Special Topics","Computer Science Hardware & Architecture","Computer Science Interdisciplinary Applications
Journal title
The international journal of supercomputer applications and high performance computing → ACNP
ISSN journal
10783482
Volume
11
Issue
3
Year of publication
1997
Pages
197 - 204
Database
ISI
SICI code
1078-3482(1997)11:3<197:PIOTYA>2.0.ZU;2-A
Abstract
In this paper, parallel extensions of a complete symmetric eigensolver , proposed by Yau and Lu in 1993, are presented. First, an overview of this invariant subspace decomposition method for dense symmetric matr ices is given, followed by numerical results. Then, works are exposed in progress on distributed-memory implementation. The algorithm's heav y reliance on matrix-matrix multiplication, coupled with Fast Fourier Transform (FFT), should yield a highly parallelizable algorithm. Final ly performance results for the dominant computation kernel on the Inte l Paragon are presented.