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

Unique sets oriented partitioning of nested loops with non-uniform dependences

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)
Jialin Ju ; Parallel & Distributed Process. Lab., Wayne State Univ., Detroit, MI, USA ; Chaudhary, V.

Although many methods exist for nested loop partitioning, most of them perform poorly when parallelizing loops with non-uniform dependences. This paper addresses the issue of parallelizing nested loops with non-uniform dependences. The approach is based on convex hull theory, which has adequate information to handle non-uniform dependences. We introduce the concept of Complete Dependence Convex Hull, unique head and tail sets and abstract the dependence information into these sets. These sets form the basis of the iteration space partitions. The properties of the unique head and tail sets are derived using convex hull theory. Depending on the relative placement of these unique sets, the partitioning problem is grouped into several cases. Several partitioning schemes are also suggested for implementing the technique. Preliminary implementation results of the scheme on the Cray J916 and comparison with other schemes show a dramatic improvement in performance

Published in:

Parallel Processing, 1996. Vol.3. Software., Proceedings of the 1996 International Conference on  (Volume:3 )

Date of Conference:

12-16 Aug 1996

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.