A parallel structured divide-and-conquer algorithm for symmetric tridiagonal eigenvalue problems

In this paper, a parallel structured divide-and-conquer (PSDC) eigensolver is proposed for symmetric tridiagonal matrices based on ScaLAPACK and a parallel structured matrix multiplication algorithm, called PSMMA. Computing the eigenvectors via matrix-matrix multiplications is the most computational...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on parallel and distributed systems Jg. 32; H. 2; S. 1
Hauptverfasser:	Liao, Xia, Li, Shengguo, Lu, Yutong, Roman, Jose E. E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Cauchy-like matrix Computation Divide-and-conquer Eigenvalues Eigenvectors Mathematical analysis Matrix methods Multiplication PSMMA PUMMA Algorithm Rank-structured matrix ScaLAPACK Structured matrices
ISSN:	1045-9219, 1558-2183
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!