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  <identifier identifierType="DOI">10.18453/rosdok_id00001530</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Middendorf, Lars</creatorName>
      <givenName>Lars</givenName>
      <familyName>Middendorf</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/1071804979</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Dynamic task scheduling and binding for many-core systems through stream rewriting</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2015</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">004 Data processing Computer sciences</subject>
  </subjects>
  <dates>
    <date dateType="Created">2015</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">http://purl.uni-rostock.de/rosdok/id00001530</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-diss2015-0080-6</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">This thesis proposes a novel model of computation, called stream rewriting, for the specification and implementation of highly concurrent applications. Basically, the active tasks of an application and their dependencies are encoded as a token stream, which is iteratively modified by a set of rewriting rules at runtime. In order to estimate the performance and scalability of stream rewriting, a large number of experiments have been evaluated on many-core systems and the task management has been implemented in software and hardware.</description>
  </descriptions>
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