Programming Patterns: Maximizing Code Performance by Optimizing Memory Access

http://www.mathworks.com/company/newsletters/news_notes/june07/patterns.html

First submitted by Linda Webb on 6 Jul 2009

Improve memory usage and increase code speed by understanding how MATLAB stores and accesses data.

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Date	Contributor	Description	Rating
6 Jul 2009	Linda Webb	“Most MATLAB users want their code to be fast, especially when it is processing very large data sets. Because memory performance has not increased at the same rate as CPU performance, code today is often “memory-bound,” its overall performance limited by the time it takes to access memory. Fortunately, with a little knowledge of how MATLAB stores and accesses data, you can avoid inefficient memory usage and improve the speed of your code. This article describes three ways to improve the performance of memory-bound code…” By Stuart McGarrity, The MathWorks This article appeared in The MathWorks News & Notes, June 2007

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Tag Activity

Tag	Applied By	Date/Time
whitepaper	Linda Webb	6 Jul 2009 at 12:34pm
preallocate arrays	Linda Webb	6 Jul 2009 at 12:34pm
performance	Linda Webb	6 Jul 2009 at 12:34pm
paper	Linda Webb	6 Jul 2009 at 12:34pm
optimize	Linda Webb	6 Jul 2009 at 12:34pm
memory	Linda Webb	6 Jul 2009 at 12:34pm
maximize	Linda Webb	6 Jul 2009 at 12:34pm
faster	Linda Webb	6 Jul 2009 at 12:34pm
article	Linda Webb	6 Jul 2009 at 12:34pm