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          <dc:contributor>Snir, Marc</dc:contributor>
          <dc:creator>Nusbaum, Kurtis</dc:creator>
          <dc:date>2013-05-24T21:53:41Z</dc:date>
          <dc:date>2013-05-24T21:53:41Z</dc:date>
          <dc:date>2013-05</dc:date>
          <dc:date>2013-05-24T21:53:41Z</dc:date>
          <dc:date>2013-05</dc:date>
          <dc:description>It is now generally accepted that the road to Exascale Super Computing will no doubt include increasing core counts on individual compute nodes. The Scalable Parallel Runtime (SPR) is a project being developed at Sandia National Laboratories which attempts to address the challenge of efficiently utilizing the power of these new many-core systems. SPR is a combination of the Qthreads Library, Portals, and MPI. In this paper, we investigate optimizing the Barnes-Hut simulation by using the PPL Runtime which we implement using SPR. PPL provides a PGAS runtime with one-sided com- munication facilities, ideal for irregular applications with dynamic commu- nication patterns like that of Barnes-Hut.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-04-22T18:15:59Z
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          <dc:rights>Copyright 2013 Kurtis Nusbaum</dc:rights>
          <dc:subject>Barnes-Hut</dc:subject>
          <dc:subject>Scalable Parallel Runtime (SPR)</dc:subject>
          <dc:subject>Qthreads</dc:subject>
          <dc:subject>Parallel Programming Language (PPL)</dc:subject>
          <dc:subject>Many-Core</dc:subject>
          <dc:subject>Exascale</dc:subject>
          <dc:title>Optimizing Barnes-Hut simulations for many-core super computers using the scalable parallel runtime</dc:title>
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            <grantor>University of Illinois at Urbana-Champaign</grantor>
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            <name>M.S.</name>
            <program>MS:Computer Science -UIUC</program>
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