Title
Solving Large-Scale Nonnormal Eigenproblems in the Aeronautical Industry Using Parallel BLAS
Abstract
We consider a large-scale nonnormal eigenvalue problem that occurs in flutter analysis. Matrices arising in such problems are usually sparse, of large order, and highly nonnormal. We use the incomplete Arnoldi method associated with the Tchebycheff acceleration in order to compute a subset of the eigenvalues and their associated eigenvectors. This method has been parallelized using BLAS kernels and has been tested on various vector and parallel machines.
Year
DOI
Venue
1994
10.1007/BFb0020350
HPCN
Keywords
Field
DocType
large-scale nonnormal eigenproblems,aeronautical industry,parallel blas,eigenvectors
Applied mathematics,Mathematical optimization,Matrix (mathematics),Computer science,Parallel computing,Flutter,Acceleration,Eigenvalues and eigenvectors
Conference
ISBN
Citations 
PageRank 
3-540-57980-X
0
0.34
References 
Authors
2
3
Name
Order
Citations
PageRank
M. Bennani100.34
T. Braconnier200.34
J. C. Dunyach300.34