PaStiX : A parallel sparse direct solver based on a static scheduling for mixed 1D/2D block distributions

13Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We present and analyze a general algorithm which computes an efficient static scheduling of block computations for a parallel L.D.Lt factorization of sparse symmetric positive definite systems based on a combination of 1D and 2D block distributions. Our solver uses a supernodal fan-in approach and is fully driven by this scheduling. We give an overview of the algorithm and present performance results and comparisons with PSPASES on an IBM-SP2 with 120 MHz Pow er2SC nodes for a collection of irregular problems. © 2000 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Hénon, P., Ramet, P., & Roman, J. (2000). PaStiX : A parallel sparse direct solver based on a static scheduling for mixed 1D/2D block distributions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1800 LNCS, pp. 519–525). Springer Verlag. https://doi.org/10.1007/3-540-45591-4_70

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free