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

Performance Benefits of Heterogeneous Computing in HPC Workloads

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)
Lee, V.W. ; Intel Corp., Santa Clara, CA, USA ; Grochowski, E. ; Geva, R.

Chip multi-processors (CMPs) with increasing number of processor cores are now becoming widely available. To take advantage of many-core CMPs, applications must be parallelized. However, due to the nature of algorithm/programming model, some parts of the application would remain serial. According to Amdahl's law, the speedup of a parallel application is limited by the amount of serial execution it has. For a CMP with many cores, this can be a serious limitation. To take full advantage of the increasing number of cores, one must try to reduce the execution time of the serial portion of a parallel program. However, rewriting an application takes time and often the return on the effort invested may not justify parallelizing every part of the program. Heterogeneous many-core CMP design is one possible solution to support massive parallel execution and to provide a reasonable single-thread performance. In this paper, we use a simple spreadsheet model to evaluate homogeneous and heterogeneous CMP designs using execution profiles of real HPC applications. Evaluated on 12 parallel HPC applications, we show that heterogeneous CMPs can outperform homogeneous CMPs by up to 1.35× with an average speedup of 1.06× when both the heterogeneous CMPs and homogeneous CMPs are constrained to use the same power budget. Our study found the heterogeneous CMPs can take advantage of serial portion of execution that is as little as 2% of total run time to provide performance benefit. This suggests heterogeneous computing can help mitigate the effect of not parallelizing some portions of an application due to return on investment concern on programming efforts.

Published in:

Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International

Date of Conference:

21-25 May 2012

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.