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POHow can we handle large matrices in matlab(larger than 10000x10000)
 

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  1. POHow can we handle large matrices in matlab(larger than 10000x10000)
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    <p>In my program I am faced with some matrices that are larger than 10000x10000. I cannot transpose or inverse them, how can this problem be overcome?</p> <pre class="lang-none prettyprint-override"><code>??? Error using ==&gt; ctranspose Out of memory. Type HELP MEMORY for your options. Error in ==&gt; programname1 at 70 B = cell2mat(C(:,:,s))'; Out of memory. Type HELP MEMORY for your options. Example 1: Run the MEMORY command on a 32-bit Windows system: &gt;&gt; memory Maximum possible array: 677 MB (7.101e+008 bytes) * Memory available for all arrays: 1602 MB (1.680e+009 bytes) ** Memory used by MATLAB: 327 MB (3.425e+008 bytes) Physical Memory (RAM): 3327 MB (3.489e+009 bytes) * Limited by contiguous virtual address space available. ** Limited by virtual address space available. Example 2: Run the MEMORY command on a 64-bit Windows system: &gt;&gt; memory Maximum possible array: 4577 MB (4.800e+009 bytes) * Memory available for all arrays: 4577 MB (4.800e+009 bytes) * Memory used by MATLAB: 330 MB (3.458e+008 bytes) Physical Memory (RAM): 3503 MB (3.674e+009 bytes) </code></pre> <p>==============================================================================</p> <pre><code> memory % Maximum possible array: 1603 MB (1.681e+009 bytes) * % Memory available for all arrays: 2237 MB (2.346e+009 bytes) ** % Memory used by MATLAB: 469 MB (4.917e+008 bytes) % Physical Memory (RAM): 3002 MB (3.148e+009 bytes) I have used sparse for C. B = cell2mat(C); clear C %# to reduce the allocated RAM P=B\b; Name Size Bytes Class Attributes B 5697x5697 584165092 double sparse, complex C 1899x1899 858213576 cell b 5697x1 91152 double complex ============================================================================== ??? Error using ==&gt; mldivide Out of memory. Type HELP MEMORY for your options. Error in ==&gt; programname at 82 P=B\b; ============================================================================== </code></pre> <p>Edit: 27.05.11</p> <pre><code>Name Size Bytes Class Attributes C 997x997 131209188 cell B 2991x2991 71568648 single complex Bdp 2991x2991 143137296 double complex Bsparse 2991x2991 156948988 double sparse, complex Bdp=double(B); Bsparse=sparse(Bdp); </code></pre> <p>I used single precision, witch gave the same accuracy as in double precision</p> <p>It's better, Am I right?</p>
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      1. POHow can we handle large matrices in matlab(larger than 10000x10000)
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    1. COuse a 64 bit system with lots of RAM?
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      1. POHow can we handle large matrices in matlab(larger than 10000x10000)
      1. USMitch Wheat
    2. COMitch is right; what are your memory parameters now? (I assume these aren't sparse matrices, right?)
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      1. POHow can we handle large matrices in matlab(larger than 10000x10000)
      1. USAndrew Lazarus
    3. COI use 32-bit . The matrices are complex symmetric and 2/3 of it's elements are zero. lots of RAM! I have a Intel Core 2 Solo Processor 1.4 Ghz and 3 GM RAM. I think it's alot!! am I right? ;-)
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      1. POHow can we handle large matrices in matlab(larger than 10000x10000)
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