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          <dc:title>High-Performance Graph Algorithms (Dagstuhl Seminar 18241)</dc:title>
          <dc:creator>Meyerhenke, Henning</dc:creator>
          <dc:creator>Peng, Richard</dc:creator>
          <dc:creator>Safro, Ilya</dc:creator>
          <dc:subject>algorithm engineering</dc:subject>
          <dc:subject>combinatorial scientific computing</dc:subject>
          <dc:subject>graph algorithms</dc:subject>
          <dc:subject>high-performance computing</dc:subject>
          <dc:subject>theoretical computer science</dc:subject>
          <dc:description>This report documents the program and outcomes of Dagstuhl Seminar 18241 ``High-performance Graph Algorithms''. The seminar reflected the ongoing qualitative change how graph algorithms are used in practice due to (i) the complex structure of graphs &#13;
in new and emerging applications, (ii) the size of typical inputs, and (iii) the computer systems with which &#13;
graph problems are solved. This change is having a tremendous impact on the &#13;
field of graph algorithms in terms of algorithm theory and implementation as well as hardware&#13;
requirements and application areas.&#13;
&#13;
The seminar covered recent advances in all these aspects, trying to balance and mediate between theory and practice.&#13;
The abstracts included in this report contain and survey recent state-of-the-art results, but also point to promising&#13;
new directions for high-performance graph algorithms and their applications, both from a theoretical and&#13;
a practical point of view.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Henning Meyerhenke and Richard Peng and Ilya Safro</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 8, Issue 6 (2019)</dc:relation>
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          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/DagRep.8.6.19</dc:identifier>
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          <dc:language>eng</dc:language>
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