Difference: URCSGPUComputing (2 vs. 3)

Revision 32009-08-20 - KonstantinosMenychtas

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GPU Computing in URCS

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############################ CUDA START ############################
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whoami=`uname -n | sed 's/\..*//'` if $whoami =~ node1x4x2a
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if \h =~ node1x4x2a
 then export CUDA_INSTALL_PATH=$HOME/Applications/gpu_computing/cuda_x86_64 export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_INSTALL_PATH/lib64
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    • radixSort
    • matrixMul
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Alternatively

This is only temporary :

Login to node1x4x2a and take a look under /localdisk/NVIDIA . You will find the CUDA Toolkit ( under gpu_computing ), the SDK and a .bashrc sample. Do not make any changes in this directory.

If you are just curious to see some GPU-applications, take a look at the NVIDIA SDK, under /localdisk/NVIDIA/NVIDIA_GPU_Computing_SDK/ . Under C/src/ you will find the source code and under C/bin/linux/release the binaries to sample projects. To run the binaries, fix your LD_LIBRARY_PATH first, with something like this: export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/localdisk/NVIDIA/gpu_computing/cuda_x86_64/lib64/ . Some projects don't work yet.

If you want to make changes, make a copy of /localdisk/NVIDIA either locally ( /localdisk ) or to your home directory, and adjust your shell init file taking into account at least the CUDA-related paths of the sample.bashrc file under /localdisk/NVIDIA .

 

Further resources

For questions and help, contact KonstantinosMenychtas, provided that you first have tried the following and have not found the answer you needed.
 
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