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

Reducing overheads of local communications in fine-grain parallel computation

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)
Jin-Soo Kim ; Dept. of Comput. Eng., Seoul Nat. Univ., South Korea ; Soonhoi Ha ; Chu Shik Jhon

For fine-grain computation to be effective, the cost of communications between the large number of subtasks should be minimised. In this paper we present an optimization technique which reduces overheads of communications between local subtasks by bypassing the network interface and transferring data directly from memory or registers to memory. On average, the optimization results in 35.6% improvement in total execution time on instruction-level simulations with six benchmark programs from 1 to 32 nodes

Published in:

Parallel Processing, 1997., Proceedings of the 1997 International Conference on

Date of Conference:

11-15 Aug 1997

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.