Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Scalable many-core algorithms for tridiagonal solvers

Tools
- Tools
+ Tools

Balogh, G. D., Flynn, T., Laizet, S., Mudalige, Gihan R. and Reguly, Istvan Zoltan (2021) Scalable many-core algorithms for tridiagonal solvers. Computing in Science and Engineering . doi:10.1109/MCSE.2021.3130544 (In Press)

[img]
Preview
PDF
WRAP-Scalable-many-core-algorithms-tridiagonal-solvers-2021.pdf - Accepted Version - Requires a PDF viewer.

Download (492Kb) | Preview
Official URL: https://doi.org/10.1109/MCSE.2021.3130544

Request Changes to record.

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.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Parallel processing (Electronic computers), High performance computing, Differential equations, Linear -- Data processing, Computer algorithms, Linear systems
Journal or Publication Title: Computing in Science and Engineering
Publisher: IEEE
ISSN: 1521-9615
Official Date: 24 November 2021
Dates:
DateEvent
24 November 2021Available
21 November 2021Accepted
DOI: 10.1109/MCSE.2021.3130544
Status: Peer Reviewed
Publication Status: In Press
Publisher 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.
Access rights to Published version: Restricted or Subscription Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
INF/R1/1800 12Royal Societyhttp://dx.doi.org/10.13039/501100000288
EP/R029326/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
UNSPECIFIEDNarodowe Centrum Naukihttp://dx.doi.org/10.13039/501100004281
Related URLs:
  • https://www.computer.org/csdl/magazine/c...

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us