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Scalasca summary analysis of HemeLB_GPU application execution with 129 MPI processes on JUWELS/V100

Brian J. N. Wylie


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  <dc:creator>Brian J. N. Wylie</dc:creator>
  <dc:date>2020-10-12</dc:date>
  <dc:description>The CompBioMed HPC CoE flagship application HemeLB (prototype GPU version) was run with a (patched) arteries geometry dataset on JSC's JUWELS supercomputer, and its execution performance with 129 MPI processes on 32 dual 20-core CPU + quad V100 GPU compute nodes measured by Score-P and analysed by Scalasca (and Vampir)</dc:description>
  <dc:identifier>https://zenodo.org/record/4081080</dc:identifier>
  <dc:identifier>10.5281/zenodo.4081080</dc:identifier>
  <dc:identifier>oai:zenodo.org:4081080</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/675451/</dc:relation>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/824080/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3885304</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3356706</dc:relation>
  <dc:relation>doi:10.5281/zenodo.4081079</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Scalasca Score-P CUBE HemeLB JUWELS MPI+GPU</dc:subject>
  <dc:title>Scalasca summary analysis of HemeLB_GPU application execution with 129 MPI processes on JUWELS/V100</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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