Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
International Journal of High Performance Computing Applications
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (1)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Hey, T.
Right arrow Articles by Lancaster, D.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

The Development of Parkbench and Performance Prediction

Tony Hey

Electronics & Computer Science, University of Southampton, U.K.

David Lancaster

Electronics & Computer Science, University of Southampton, U.K.

The authors present a brief overview of the development of benchmarks for parallel performance analysis and show how a set of widely accepted parallel benchmarks has emerged from the Parkbench initiative. At the lowest level, basic node parameters are captured by the LINPACK benchmark and the Genesis communications benchmarks, which give information on message-passing latency and bandwidth. At kernel and application levels, results are widely available for the NAS parallel benchmarks. A new release of the Genesis communications benchmarks is described, which addresses the important issue of the effect of memory hierarchy on message transfers. The rest of the paper is concerned with the way in which benchmark results can be used to predict performance of full applications. Three studies are considered: the PERFORM estimation tool and WHITEBOX benchmarking are research projects, indicating some possible directions for progress, while INTREPID is the basis of a commercial system for scheduling meta-applications based on performance models for the components.

International Journal of High Performance Computing Applications, Vol. 14, No. 3, 205-215 (2000)
DOI: 10.1177/109434200001400304
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 International Journal of High Performance Computing ApplicationsHome page
M. Snir and D. A. Bader
A Framework for Measuring Supercomputer Productivity
International Journal of High Performance Computing Applications, November 1, 2004; 18(4): 417 - 432.
[Abstract] [PDF]