Handling Large Data Sets Efficiently in MATLAB

Handling Large Data Sets Efficiently in MATLAB®

Description

Example code from "Handling Large Data Sets Efficiently in MATLAB " webinar (http://www.mathworks.com/company/events/webinars/wbnr30435.html) describing strategies for handling large amounts of data in MATLAB and avoiding "out-of-memory" errors. It will provide you with an understanding of the causes of memory limitations in MATLAB and a set of techniques to increase the available memory in MATLAB. It will also show techniques for minimizing memory usage in MATLAB while accessing, storing, processing, and plotting data.

This information is also available (and updated) in technical note 1107:
http://www.mathworks.com/support/tech-notes/1100/1107.html

Specific topics include:
* Understanding the maximum size of an array and the workspace in MATLAB
* Using undocumented features to show you the available memory in MATLAB
* Setting the 3GB switch under Windows XP to get 1GB more memory for MATLAB
* Using textscan to read large text files and memory mapping feature to read large binary files

• Acknowledgements: This submission has inspired the following:; A Powerful Sidekick: Using MySQL for High-Volume Data Manipulation in Matlab
• MATLAB release: MATLAB 7.0.4 (R14SP2)
• Other requirements: Most techniques for available memory maxmimization (first part of presentation) are for Windows XP. Many examples need at least 1G RAM.

[John D'Errico]

A superb review of memory management for those really
big problems. He explains what the limits are, why those
limits exist, and what to do if its possible to do anything.
Its well worth your time to read.

[FIKAYO ADERINLEWO]

 

[Jérôme Briot]

I agree with John comments.

Note that the "/3gb" method only works with the Service Pack 2 of Window$ XP (SP2).

A patch is available for the SP1 and the problem seems to be fixed with the SP2 .

See there :

http://support.microsoft.com/default.aspx?scid=kb;en-us;328269

Jérôme

[Gurk Peter]

Gives some information on how to resolve out of memory errors, but all the tips are more or less straightforward for anyone knowing basic things about computers and operating systems.

[hamed mehdizadeh]

 

[Parul Gupta]

I found this webinar tremendously useful - there were lots of tips and tricks I didn't know that can help better memory management

[Lorena patiño]

 

[me again]

setting the 3GB switch too stupid slow/big download/view

[syaidin dien]

 

[Roland May]

 

[anu puri]

 

[mohamed el_amawy]

 

[Kurt Sanger]

Video for setting 3GB Switch does not play. What do I do now?

[Chinara Griffith]

The information here is timely and accurate. I learnt a lot from this presentation.

[Gideon Alon]

Very good and useful information.

[Lizhu Qi]

Very helpful. I really appreciate your work.

[Lin Dong]

great

[Steen Johansen]

Very interesting. This should be a part of the standard documentation.
I only wish I had found this when it was posted.

[Danila]

 

[Chamane]

Helpfull and really interesting

[Danila]

 

[Aldemar]

Okay... the title says: "Handling Large Data Sets Efficiently in MATLAB".
Actually, it just shows information on how to "Handle" the system memory in order to provide more RAM for MATLAB to work with.
Not even one word is spent on an arbitrary "Data Set".
Nevertheless, this guide is useful for the above.

Conclusion:
Good work, wrong topic.

Suggestion:
Replace the title by something like "Providing MATLAB with more RAM in order not to run out of memory" or something similar.

[Stuart McGarrity]

Please watch the webinar for which this is the code. The first 40 min, as you correctly say, focuses on maximizing the available memory for MATLAB. The latter 25 min focuses on minimizing MATLAB's memory usage, processing a large data set in a few ways. BTW MATLAB's out of memory errors are not directly affected by available RAM.

[Anthony]

Good, but the presentation stops after processing and doesn't get to plotting.

[Iqbal Nouyed]

Here's the updated link to the webinar mentioned above:

http://www.mathworks.com/company/events/webinars/wbnr30435.html?id=30435&p1=32517&p2=32518