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

Predictive simulation of HPC applications

Tools
- Tools
+ Tools

Hammond, Simon D., Smith, J. A., Mudalige, Gihan R. and Jarvis, Stephen A. (2009) Predictive simulation of HPC applications. In: 23rd International Conference on Advanced Information Networking and Applications Workshops, Bradford, England, 26-29 May 2009. Published in: 2009 International Conference on Advanced Information Networking and Applications pp. 33-40. ISBN 9781424440009. ISSN 1550-445X. doi:10.1109/AINA.2009.95

[img]
Preview
PDF
WRAP_Jarvis_aina09.pdf - Accepted Version - Requires a PDF viewer.

Download (504Kb) | Preview
Official URL: http://dx.doi.org/10.1109/AINA.2009.95

Request Changes to record.

Abstract

The architectures which support modem supercomputing machinery are as diverse today, as at any point during the last twenty years. The variety of processor core arrangements, threading strategies and the arrival of heterogeneous computation nodes are driving modern-day solutions to petaflop speeds. The increasing complexity of such systems, as well as codes written to take advantage of the new computational abilities, pose significant frustrations for existing techniques which aim to model and analyse the performance of such hardware and software.

In this paper we demonstrate the use of post-execution analysis on trace-based profiles to support the construction of simulation-based models. This involves combining the runtime capture of call-graph information with computational timings, which in turn allows representative models code behaviour to be extracted. The main advantage of this technique is that it largely automates performance model development, a burden associated with existing techniques. We demonstrate the capabilities of our approach using both the NAS Parallel Benchmark suite and a real-world supercomputing benchmark developed by the United Kingdom Atomic Weapons Establishment. The resulting models, developed in less than two hours per code, have a good degree of predictive accuracy. We also show how one of these models can be used to explore the performance of the code on over 16,000 cores, demonstrating the scalability of our solution.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Computer Science
Series Name: International Conference on Advanced Information Networking and Applications
Journal or Publication Title: 2009 International Conference on Advanced Information Networking and Applications
Publisher: IEEE
ISBN: 9781424440009
ISSN: 1550-445X
Official Date: 2009
Dates:
DateEvent
2009Published
Date of first compliant deposit: 8 December 2015
Number of Pages: 8
Page Range: pp. 33-40
DOI: 10.1109/AINA.2009.95
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: 23rd International Conference on Advanced Information Networking and Applications Workshops
Type of Event: Conference
Location of Event: Bradford, England
Date(s) of Event: 26-29 May 2009

Data sourced from Thomson Reuters' Web of Knowledge

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