Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

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 Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Kreaseck, B.
Right arrow Articles by Nandy, S.
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?

Interference-Aware Scheduling

Barbara Kreaseck

MATHEMATICS AND COMPUTER SCIENCE DEPARTMENT, LA SIERRA UNIVERSITY, RIVERSIDE, CA

Larry Carter

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, UNIVERSITY OF CALIFORNIA AT SAN DIEGO, carter{at}cs.ucsd.edu

Henri Casanova

DEPARTMENT OF INFORMATION AND COMPUTER SCIENCES, UNIVERSITY OF HAWAI’I AT MANOA

Jeanne Ferrante

Sagnik Nandy

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, UNIVERSITY OF CALIFORNIA AT SAN DIEGO

Overlapping communication with computation is a wellknown technique to increase application performance. While it is commonly assumed that communication and computation can be overlapped at no cost, in reality they interfere with each other. In this paper we empirically evaluate the interference rate of communication on computation via measurements on a single processor communicating on a heterogeneous collection of local and remote processors, in both Java and C. We then present a model of interference, which can be used for more effective application scheduling, as demonstrated by real-world experiments.

Key Words: Distributed computing • scheduling • communication • contention • model

International Journal of High Performance Computing Applications, Vol. 20, No. 1, 45-59 (2006)
DOI: 10.1177/1094342006061889
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?