Scalable many-core algorithms for tridiagonal solvers
File(s)Tridiagonal_Solver_Paper.pdf (317.14 KB)
Accepted version
Author(s)
Balogh, Gabor Daniel
Flynn, Toby
Laizet, Sylvain
Mudalige, Gihan
Reguly, István
Type
Journal Article
Abstract
We present a novel distributed memory Tridiagonal solver library, targeting large-scale systems based on modern multi-core and many-core processor architectures. The library uses methods based on both approximate and exact algorithms. Performance comparisons with the state-of-the-art, using both a large Cray EX system and a GPU cluster show the algorithmic trade-offs required at increasing machine scale to achieve good performance, particularly considering the advent of exascale systems.
Date Issued
2021-11-24
Date Acceptance
2021-11-21
Citation
Computing in Science and Engineering, 2021, 24 (1)
ISSN
1521-9615
Publisher
Institute of Electrical and Electronics Engineers
Journal / Book Title
Computing in Science and Engineering
Volume
24
Issue
1
Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://ieeexplore.ieee.org/document/9626460
Grant Number
EP/T026170/1
Subjects
0103 Numerical and Computational Mathematics
0802 Computation Theory and Mathematics
0805 Distributed Computing
Fluids & Plasmas
Publication Status
Published online
Date Publish Online
2021-11-24