A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems
2018
JSIAM Letters
Contour-integral based eigensolvers have been proposed for efficiently exploiting the performance of massively parallel computational environments. In the algorithms of these methods, inner linear systems need to be solved and its calculation time becomes the most timeconsuming part for large-scale problems. In this paper, we consider applying a contour-integral based method to a large dense problem in conjunction with a block Krylov subspace method as an inner linear solver. Comparison of
doi:10.14495/jsiaml.10.77
fatcat:hudmtbphnbhnlcbr725rylr7xq