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acelab:hpl_cuda [2015/09/02 09:05]
mcawood
acelab:hpl_cuda [2021/12/09 16:42] (current)
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-==General Info==+===General Info===
  
 This guide describes how to configure and run High Performance LinPACK on CUDA compatible GPUs.   This guide describes how to configure and run High Performance LinPACK on CUDA compatible GPUs.  
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 A CPU (x86) only version of the HPL benchmark is performed by HPCC, presented in this guide: [[HPCC]]. A CPU (x86) only version of the HPL benchmark is performed by HPCC, presented in this guide: [[HPCC]].
  
-==Useful Links==+===Useful Links===
  
 HPL Calculator http://hpl-calculator.sourceforge.net/ HPL Calculator http://hpl-calculator.sourceforge.net/
  
-==Installation Guide==+===Installation Guide===
  
 In order to obtain optimal results, a pre-compiled binary is used.  This binary has been tested with Keplar architecture Nvidia GPUs only (K20, K40 and K80). In order to obtain optimal results, a pre-compiled binary is used.  This binary has been tested with Keplar architecture Nvidia GPUs only (K20, K40 and K80).
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-**Download the source here:** {{http://wiki.chpc.ac.za/_media/acelab:cuda-hpl.tar.gz}}+**Download the source here:** 
  
   tar -xf Cuda-hpl.tar.gz   tar -xf Cuda-hpl.tar.gz
   cd CUDAHPL    cd CUDAHPL 
  
-==Benchmark==+===Benchmark===
  
 Confirm that the CUDA HPL binary, xhpl, has all its dependencies sourced: Confirm that the CUDA HPL binary, xhpl, has all its dependencies sourced:
/app/dokuwiki/data/attic/acelab/hpl_cuda.1441177524.txt.gz · Last modified: 2021/12/09 16:42 (external edit)