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

Hash table in massively parallel systems

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)
I-Ling Yen ; Dept. of Comput. Sci., Houston Univ., TX, USA ; Bastani, F.

The authors look at the performance and new collision resolution strategies for hash tables in massively parallel systems. The results show that using a hash table with linear probing yields O(log N) time performance for handling M accesses by N processors when the load factor of the table is 50%, where N is the size of the hash table. This is better than the performance of using sorted arrays. Two phase hashing gives an average time complexity O(logN) for M simultaneous accesses to a hash table of size N even when the table has 100% load. Simulation results also show that hypercube hashing significantly outperforms linear probing and double hashing

Published in:

Parallel Processing Symposium, 1992. Proceedings., Sixth International

Date of Conference:

23-26 Mar 1992

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.