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Publication
How to Increase Heap Space for Java VM in MATLAB
This is the solution of a problem I faced when I was analyzing data from a gigantic binary file. This white paper explains how to manage the memory heap for Matlab.
Real-time Traffic| Added | 22 Feb 2009 |
| Updated | 27 May 2009 |
| Type | White Paper |
Comments (2)
 | Matlab memory usage |
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Submitted by Ahmed on 2009, May 5 - 08:05. |
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One thing I found very useful with my 80MB bin file is to use indexing to select the portion of the signal that I am interested in (which in my case was only 26MB). use fseek & fread to read a specific slice of the data from the bin file. hope this helps -A |
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| few more nuggets |
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Submitted by Ahmed on 2009, May 6 - 09:07. |
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when dealing with large amounts of data; keep in mind that the main memory challenge is to find a continous block of memory for evey matrix. Which means that using small arrays is much easier than one giant array - so slice your big array into smaller ones and do you processing on them. - preallocate when possible |
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Researcher Info
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