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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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  <identifier identifierType="DOI">10.5281/zenodo.4081080</identifier>
  <creators>
    <creator>
      <creatorName>Brian J. N. Wylie</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2770-2443</nameIdentifier>
      <affiliation>Jülich Supercomputing Centre</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Scalasca summary analysis of HemeLB_GPU application execution with 129 MPI processes on JUWELS/V100</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Scalasca Score-P CUBE HemeLB JUWELS MPI+GPU</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-10-12</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="References" resourceTypeGeneral="Text">10.5281/zenodo.3356706</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4081079</relatedIdentifier>
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  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The CompBioMed HPC CoE flagship application HemeLB (prototype GPU version) was run with a (patched) arteries geometry dataset on JSC&amp;#39;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)&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/675451/">675451</awardNumber>
      <awardTitle>A Centre of Excellence in Computational Biomedicine</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/824080/">824080</awardNumber>
      <awardTitle>Performance Optimisation and Productivity 2</awardTitle>
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