Journal article Open Access

EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems

Lazaros Papadopoulos; Dimitrios Soudris; Christoph Kessler; August Ernstsson; Johan Ahlqvist; Nikos Vasilas; Athanasios I. Papadopoulos; Panos Seferlis; Charles Prouveur; Matthieu Haefele; Samuel Thibault; Athanasios Salamanis; Theodoros Ioakimidis; Dionysios Kehagias


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  <identifier identifierType="URL">https://zenodo.org/record/5384764</identifier>
  <creators>
    <creator>
      <creatorName>Lazaros Papadopoulos</creatorName>
      <affiliation>Department of Electrical and Computer Engineering, National Technical University of Athens, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Dimitrios Soudris</creatorName>
      <affiliation>Department of Electrical and Computer Engineering, National Technical University of Athens, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Christoph Kessler</creatorName>
      <affiliation>Dept. of Computer and Information Science, Linköping University, Linköping, Sweden</affiliation>
    </creator>
    <creator>
      <creatorName>August Ernstsson</creatorName>
      <affiliation>Dept. of Computer and Information Science, Linköping University, Linköping, Sweden</affiliation>
    </creator>
    <creator>
      <creatorName>Johan Ahlqvist</creatorName>
      <affiliation>Dept. of Computer and Information Science, Linköping University, Linköping, Sweden</affiliation>
    </creator>
    <creator>
      <creatorName>Nikos Vasilas</creatorName>
      <affiliation>Chemical Process and Energy Resources Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Athanasios I. Papadopoulos</creatorName>
      <affiliation>Chemical Process and Energy Resources Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Panos Seferlis</creatorName>
      <affiliation>Chemical Process and Energy Resources Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Charles Prouveur</creatorName>
      <affiliation>Maison de la Simulation, CEA, CNRS, France</affiliation>
    </creator>
    <creator>
      <creatorName>Matthieu Haefele</creatorName>
      <affiliation>Université de Pau et des Pays de l'Adour, Pau, France</affiliation>
    </creator>
    <creator>
      <creatorName>Samuel Thibault</creatorName>
      <affiliation>Bordeaux University, Bordeaux, France</affiliation>
    </creator>
    <creator>
      <creatorName>Athanasios Salamanis</creatorName>
      <affiliation>Information Tech- nologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Theodoros Ioakimidis</creatorName>
      <affiliation>Information Tech- nologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Dionysios Kehagias</creatorName>
      <affiliation>Information Tech- nologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece</affiliation>
    </creator>
  </creators>
  <titles>
    <title>EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-08-11</date>
  </dates>
  <resourceType resourceTypeGeneral="JournalArticle"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5384764</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/TPDS.2021.3104257</relatedIdentifier>
  </relatedIdentifiers>
  <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;Programming upcoming exascale computing sys-&lt;br&gt;
tems is expected to be a major challenge. New programming&lt;br&gt;
models are required to improve programmability, by hiding the&lt;br&gt;
complexity of these systems from application developers. The&lt;br&gt;
EXA2PRO programming framework aims at improving devel-&lt;br&gt;
opers&amp;rsquo; productivity for applications that target heterogeneous&lt;br&gt;
computing systems. It is based on advanced programming models&lt;br&gt;
and abstractions that encapsulate low-level platform-specific&lt;br&gt;
optimizations and it is supported by a runtime that handles&lt;br&gt;
application deployment on heterogeneous nodes. It supports a&lt;br&gt;
wide variety of platforms and accelerators (CPU, GPU, FPGA-&lt;br&gt;
based Data-Flow Engines), allowing developers to efficiently&lt;br&gt;
exploit heterogeneous computing systems, thus enabling more&lt;br&gt;
HPC applications to reach exascale computing. The EXA2PRO&lt;br&gt;
framework was evaluated using four HPC applications from&lt;br&gt;
different domains. By applying the EXA2PRO framework, the&lt;br&gt;
applications were automatically deployed and evaluated on a&lt;br&gt;
variety of computing architectures, enabling developers to obtain&lt;br&gt;
performance results on accelerators, test scalability on MPI&lt;br&gt;
clusters and productively investigate the degree by which each&lt;br&gt;
application can efficiently use different types of hardware re-&lt;br&gt;
sources.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/801015/">801015</awardNumber>
      <awardTitle>Enhancing Programmability and boosting Performance Portability for Exascale Computing Systems</awardTitle>
    </fundingReference>
  </fundingReferences>
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