Cart (Loading....) | Create Account
Close category search window

Identifying Performance Bottlenecks in Work-Stealing Computations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Tallent, N.R. ; Rice Univ., Houston, TX, USA ; Mellor-Crummey, J.M.

Work stealing is an effective load-balancing strategy for multithreading, but when computations based on it underperform, traditional tools can't explain why. To resolve a computation's key performance obstacles, tools must pinpoint and quantify parallel idleness and overhead.

Published in:

Computer  (Volume:42 ,  Issue: 12 )

Date of Publication:

Dec. 2009

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.