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After setting up a new compute server for my research group I need to evaluate the overall performance of this machine, including both Tesla cards. I found some information about a CUDA enabled version of Linpack and how it is used, but no download links for the software.

So the problem is, where to get it from?

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The real CUDA-enabled HPL benchmark, which is used for the TOP500 list too. Is available direcly from NVidia after registration. It is only accessible for members of the "CUDA Registered Developer Program".

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We really try to not show any "RTFM" or "LMGTFY" attitude here, but honestly - the first hit for "hpl cuda" on google is exactly what you're looking for.

https://github.com/avidday/hpl-cuda

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"This version of the code only acclerates one section of the factorization for a single GPU." As I read the documents on the net, I think there is a more advanced version, which is more actively developed. Because this version from git hub crashes immediately. –  Grisu Nov 20 '12 at 9:37
    
"The scheduling routine gpuUpdatePlanCreate() in auxil/HPL_gpusupport.c contains two tuning constants tune0 and tune1, which control the split of work between the GPU and host CPU(s). These must be tuned for optimal performance with a given GPU and host CPU/BLAS combination. How this is done is left as an exercise for the reader." –  pauska Nov 20 '12 at 9:38

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