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

Streaming BDD manipulation

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

1 Author(s)
Minato, S. ; Network Innovation Labs., Nippon Telegraph & Telephone, Yokosuka, Japan

Binary decision diagrams (BDDs) are commonly used for handling Boolean functions because of their excellent efficiency in terms of time and space. However, the conventional BDD manipulation algorithm is strongly based on the hash table technique, so it always encounters the memory overflow problem when handling large-scale BDD data. This paper proposes a new streaming BDD manipulation method that never causes memory overflow or swap out. This method allows us to handle very large-scale BDD stream data beyond the memory limitation. Our method can be characterized as follows: (1) it gives a continuous tradeoff curve between memory usage and stream data length, (2) valid solutions for a partial Boolean space can be obtained if we break the process before finishing, and (3) easily accelerated by pipelined multiprocessing. An experimental result demonstrates that we can succeed in finding a number of solutions to a SAT problem using a commodity PC with a 64 MB memory, where as the conventional BDD manipulator would have required a 100 GB memory. BDD manipulation has been considered as an intensively memory-consuming procedure, but now we can also utilize the hard disk and network resources as well. The method leads to a new approach to BDD manipulation

Published in:

Computers, IEEE Transactions on  (Volume:51 ,  Issue: 5 )

Date of Publication:

May 2002

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.