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

The performance impact of scheduling for cache affinity in parallel network processing

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

3 Author(s)
Salehi, J.D. ; Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA ; Kurose, J.F. ; Towsley, D.

We explore processor-cache affinity scheduling of parallel network protocol processing, in a setting in which protocol processing executes on a shared-memory multiprocessor concurrently with a general workload of non-protocol activity. We find that affinity-based scheduling can significantly reduce the communication delay associated with protocol processing, enabling the host to support a greater number of concurrent streams and to provide higher maximum throughput to individual streams. In addition, we compare the performance of two parallelization alternatives, locking and independent protocol stacks (IPS), with very different caching behaviors. We find that IPS (which maximizes cache affinity) delivers much lower message latency and significantly higher message throughput capacity, yet exhibits less robust response to infra-stream burstiness and limited intra-stream scalability

Published in:

High Performance Distributed Computing, 1995., Proceedings of the Fourth IEEE International Symposium on

Date of Conference:

2-4 Aug 1995

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.