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POCUDA samples matrixMul error
 

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    <p>I am very new to cuda and started reading about parallel programming and cuda just a few weeks ago. After I installed the cuda toolkit, I was browsing the sdk samples (which come with the installation of the toolkit) and wanted to try some of them out. I started with <code>matrixMul</code> from 0_Simple folder. This program executes fine (I am using Visual Studio 2010). Now I want to change the size of the matrices and try with a bigger one (for example 960X960 or 1024x1024). In this case, something crashes (I get black screen, and then the message: display driver stopped responding and has recovered).</p> <p>I am changing this two lines in the code (from main function):</p> <pre><code> dim3 dimsA(8*4*block_size, 8*4*block_size, 1); dim3 dimsB(8*4*block_size, 8*4*block_size, 1); </code></pre> <p>before they were:</p> <pre><code>dim3 dimsA(5*2*block_size, 5*2*block_size, 1); dim3 dimsB(5*2*block_size, 5*2*block_size, 1); </code></pre> <p>Can someone point to me what I am doing wrong. and should I alter something else in this example for it to work properly. Thx! </p> <p>Edit: like some of you suggested, i changed the timeout value (0 somehow did not work for me, I set the timeout to 60), so my driver does not crash, but I get huge list of errors, like: ... ... ...</p> <pre><code>Error! Matrix[409598]=6.40005159, ref=6.39999986 error term is &gt; 1e-5 Error! Matrix[409599]=6.40005159, ref=6.39999986 error term is &gt; 1e-5 </code></pre> <p>Does this got something to do with the allocation of the memory. Should I make changes there and what could they be?</p>
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    1. COIts a windows tdr event. If kernel execution takes more than about 2 seconds on a windows display gpu windows will detect this as a timeout and reset the gpu and reload the driver. its not easily fixable.
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      1. USRobert Crovella
    2. COSo u are saying that with this simple sample code I can't multiply matrices with this dimensions? Because I have an assignment where I need to use simple examples to multiply big size matrices and then measure the time of execution per core and overall..
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    3. COSee if 6*3*block_size works. If so keep bumping up the size till you find the failure point.
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      1. USRobert Crovella
 

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