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

OpenCL - An effective programming model for data parallel computations at the Cell Broadband Engine

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)
Breitbart, J. ; Res. Group Programming Languages / Methodologies, Univ. Kassel, Kassel, Germany ; Fohry, C.

Current processor architectures are diverse and heterogeneous. Examples include multicore chips, CPUs and the Cell Broadband Engine (CBE). The recent Open Compute Language (OpenCL) standard aims at efficiency and portability. This paper explores its efficiency when implemented on the CBE, without using CBE-specific features such as explicit asynchronous memory transfers. We based our experiments on two applications: matrix multiplication, and the client side of the Einstein@Home distributed computing project. Both were programmed in OpenCL, and then translated to the CBE. For matrix multiplication, we deployed different levels of OpenCL performance optimization, and observed that they pay off on the CBE. For the Einstein@Home application, our translated OpenCL version achieves almost the same speed as a native CBE version. Another main contribution of the paper is a proposal for an additional memory level in OpenCL, called static local memory. With little programming expense, it can lead to significant speedups such as factor seven for reduction. Finally, we studied two versions of the OpenCL to CBE mapping, in which the PPE component of the CBE does or does not take the role of a compute unit.

Published in:

Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on

Date of Conference:

19-23 April 2010

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.