Enhancing Multicore System Performance Using Parallel Computing with MATLAB

http://www.mathworks.com/company/newsletters/digest/2008/sept/parallel-computing.html

First submitted by Linda Webb on 29 Jun 2009

Enabling you to select the programming paradigm to work well in a multicore system

48 clicks (last 30 days)

Tags for This LinkHelp

Everyone’s Tags

Descriptions and Ratings (1)

Date	Contributor	Description	Rating
29 Jun 2009	Linda Webb	A visit to the neighborhood PC retail store provides ample proof that we are in the multicore era. The key differentiator among manufacturers today is the number of cores that they pack onto a single chip. The clock frequency of commodity processors has reached its limit, however, and is likely to stay below 4 GHz for years to come. As a result, adding cores is not synonymous with increasing computational power. To take full advantage of the performance enhancements offered by the new multicore hardware, a corresponding shift must take place in the software infrastructurea shift to parallel computing. MATLAB® and Parallel Computing Toolbox address the challenge of getting code to work well in a multicore system by enabling you to select the programming paradigm most appropriate to your application. Using a typical numerical computing problem as an example, this article describes how to use the two most basic of these paradigms: threads and parallel for-loops. By Piotr Luszczek, The MathWorks This article was published in MATLAB Digest, September 2008

Tag Activity

Tag	Applied By	Date/Time
whitepaper	Linda Webb	29 Jun 2009 at 4:20pm
article	Linda Webb	29 Jun 2009 at 4:20pm
thread	Linda Webb	29 Jun 2009 at 4:20pm
parallel computing	Linda Webb	29 Jun 2009 at 4:20pm
paper	Linda Webb	29 Jun 2009 at 4:20pm
multicore processors	Linda Webb	29 Jun 2009 at 4:20pm
multicore	Linda Webb	29 Jun 2009 at 4:20pm

Public Submission Policy

NOTICE: Any content you submit to MATLAB Central, including personal information, is not subject to the protections which may be afforded information collected under other sections of The MathWorks, Inc. Web site. You are entirely responsible for all content that you upload, post, e-mail, transmit or otherwise make available via MATLAB Central. The MathWorks does not control the content posted by visitors to MATLAB Central and, does not guarantee the accuracy, integrity, or quality of such content. Under no circumstances will The MathWorks be liable in any way for any content not authored by The MathWorks, or any loss or damage of any kind incurred as a result of the use of any content posted, e-mailed, transmitted or otherwise made available via MATLAB Central. Read the complete Disclaimer prior to use.