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

Modeling and characterizing parallel computing performance on heterogeneous networks of workstations

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)
Xiaodong Zhang ; Lab. of High Performance Comput. & Software, Texas Univ., San Antonio, TX, USA ; Yong Yan

A heterogeneous network of workstations (NOW) introduces a new performance factor into distributed computing: a large variation of the computing power of the different workstations. This unique factor makes traditional performance models/metrics for homogeneous computing measurement and evaluation not suitable for heterogeneous computing. We present models which quantify the heterogeneity of networks and characterize the performance effects. The models consider effects of both the heterogeneity and time-sharing in a nondedicated environment. Speedup, efficiency and scalability are defined. These models are general enough to cover performance evaluation of both homogeneous and heterogeneous computations in dedicated and nondedicated NOW systems. To validate and support performance modeling results, we conducted a collection of experimental measurements for evaluating computing performance and scalability of a group of application programs on a heterogeneous NOW

Published in:

Parallel and Distributed Processing, 1995. Proceedings. Seventh IEEE Symposium on

Date of Conference:

25-28 Oct 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.