Experiences at scale with PGAS versions of a hydrodynamics application

A. C. Mallinson, S. A. Jarvis, W. P. Gaudin, J. A. Herdman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this work we directly evaluate two PGAS programming models, CAF and OpenSHMEM, as candidate technologies for improving the performance and scalability of scientific applications on future exascale HPC platforms. PGAS approaches are considered by many to represent a promising research direction with the potential to solve some of the existing problems preventing codebases from scaling to exascale levels of performance. The aim of this work is to better inform the exacsale planning at large HPC centres such as AWE. Such organisations invest significant resources maintaining and updating existing scientific codebases, many of which were not designed to run at the scales required to reach exascale levels of computational performance on future system architectures. We document our approach for implementing a recently developed Lagrangian-Eulerian explicit hydrodynamics mini-application in each of these PGAS languages. Furthermore, we also present our results and experiences from scaling these different approaches to high node counts on two state-of-the-art, large scale system architectures from Cray (XC30) and SGI (ICE-X),and compare their utility against an equivalent existing MPI implementation. Copyright is held by the owner/author(s). Publication rights licensed to ACM.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Partitioned Global Address Space Programming Models, PGAS 2014
EditorsTomas Dorta, Christian Bastien, Peter Pepper, Nadine Couture, David Broman, David Broman
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450329538, 9781450329705, 9781450331883, 9781450332477
DOIs
Publication statusPublished - 6 Oct 2014
Event8th International Conference on Partitioned Global Address Space Programming Models, PGAS 2014 - Eugene, United States
Duration: 6 Oct 201410 Oct 2014

Publication series

NameACM International Conference Proceeding Series
Volume2014-October

Conference

Conference8th International Conference on Partitioned Global Address Space Programming Models, PGAS 2014
Country/TerritoryUnited States
CityEugene
Period6/10/1410/10/14

Keywords

  • Co-array fortran
  • Exascale
  • HPC
  • Hydrodynamics
  • MPI
  • OpenSHMEM
  • PGAS

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Experiences at scale with PGAS versions of a hydrodynamics application'. Together they form a unique fingerprint.

Cite this