Preprint Open Access

High Performance Computing and Industry 4.0: Experiences from the DISRUPT Project

Sakellariou, Rizos; Buenabad-Chávez, Jorge; Kavakli, Evangelia; Spais, Ilias; Tountopoulos, Vasilios


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  <identifier identifierType="DOI">10.5281/zenodo.3528266</identifier>
  <creators>
    <creator>
      <creatorName>Sakellariou, Rizos</creatorName>
      <givenName>Rizos</givenName>
      <familyName>Sakellariou</familyName>
      <affiliation>School of Computer Science, The University of Manchester, Manchester, UK</affiliation>
    </creator>
    <creator>
      <creatorName>Buenabad-Chávez, Jorge</creatorName>
      <givenName>Jorge</givenName>
      <familyName>Buenabad-Chávez</familyName>
      <affiliation>School of Computer Science, The University of Manchester, Manchester, UK</affiliation>
    </creator>
    <creator>
      <creatorName>Kavakli, Evangelia</creatorName>
      <givenName>Evangelia</givenName>
      <familyName>Kavakli</familyName>
      <affiliation>School of Computer Science, The University of Manchester, Manchester, UK</affiliation>
    </creator>
    <creator>
      <creatorName>Spais, Ilias</creatorName>
      <givenName>Ilias</givenName>
      <familyName>Spais</familyName>
      <affiliation>School of Computer Science, The University of Manchester, Manchester, UK</affiliation>
    </creator>
    <creator>
      <creatorName>Tountopoulos, Vasilios</creatorName>
      <givenName>Vasilios</givenName>
      <familyName>Tountopoulos</familyName>
      <affiliation>Athens Technology Center S.A.</affiliation>
    </creator>
  </creators>
  <titles>
    <title>High Performance Computing and Industry 4.0: Experiences from the DISRUPT Project</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Industry 4.0</subject>
    <subject>High Performance Computing</subject>
    <subject>Industrial Internet of Things</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-07-15</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Preprint"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3528266</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3528265</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;Significant effort is currently being invested on enhancing digitization in all aspects of industrial processes and manufacturing on the quest for the next transformational change towards sustainable manufacturing and the factories of the future. This vision, commonly termed as Industry 4.0, is at the core of a number of funded projects in Europe. This short paper briefly reports experiences from&lt;br&gt;
the EU-funded project DISRUPT and focuses on the identification of some key challenges in the interplay between Industry 4.0 and&lt;br&gt;
High Performance Computing.&lt;/p&gt;</description>
    <description descriptionType="Other">Preprint of a short paper accepted at the International Conference on Embedded Computer Systems:
Architectures, Modeling, and Simulation (SAMOS XVIII), July 15–19, 2018, Pythagorion, Samos Island, Greece</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/723541/">723541</awardNumber>
      <awardTitle>Decentralised architectures for optimised operations via virtualised processes and manufacturing ecosystem collaboration</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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