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

Locating performance problems in massively parallel executions

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)
Couch, A.L. ; Dept. of Comput. Sci., Tufts Univ., Medford, MA, USA

Performance problems in asynchronous massively parallel programs are often the result of unforeseen and complex asynchronous interactions between autonomous processing elements. Then performance problems are not inefficiencies in source code, but gaps in the algorithm designer's understanding of a complex physical system. The analyst forms hypotheses about the probable causes or possible improvements, and verifies these hypotheses by modifying the program and testing it again. These hypotheses can be formed by a variety of methods, from simple and mostly fruitful techniques for suggesting possible source code improvements to the difficult, indirect, and possibly futile activity of visualizing execution. The author describes a visualization system for massively parallel execution data and shows how drawbacks in other analysis methods sometimes make visualization necessary despite its difficulty

Published in:

Proceedings of the IEEE  (Volume:81 ,  Issue: 8 )

Date of Publication:

Aug 1993

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.