A distributed-memory tridiagonal solver based on a specialised data structure optimised for CPU and GPU architectures

Various numerical methods used for solving partial differential equations (PDE) result in tridiagonal systems. Solving tridiagonal systems on distributed-memory environments is not straightforward, and often requires significant amount of communication. In this article, we present a novel distribute...

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Veröffentlicht in:	Computer physics communications Jg. 315; S. 109747
Hauptverfasser:	Akkurt, Semih, Lemaire, Sébastien, Bartholomew, Paul, Laizet, Sylvain
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2025
Schlagworte:	Compact finite difference schemes Distributed tridiagonal matrix solver Tridiagonal matrix algorithm Distributed tridiagonal matrix solver Compact finite difference schemes Tridiagonal matrix algorithm
ISSN:	0010-4655
Online-Zugang:	Volltext
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