<?xml version="1.0" encoding="utf-8"?>
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  <doc>
    <id>3226</id>
    <completedYear>2018</completedYear>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>258</pageFirst>
    <pageLast>272</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2019-01-25</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Streaming Live Neuronal Simulation Data into Visualization and Analysis</title>
    <abstract language="eng">Neuroscientists want to inspect the data their simulations are producing while these are still running. This will on the one hand save them time waiting for results and therefore insight. On the other, it will allow for more efficient use of CPU time if the simulations are being run on supercomputers. If they had access to the data being generated, neuroscientists could monitor it and take counter-actions, e.g., parameter adjustments, should the simulation deviate too much from in-vivo observations or get stuck.&#13;
&#13;
As a first step toward this goal, we devise an in situ pipeline tailored to the neuroscientific use case. It is capable of recording and transferring simulation data to an analysis/visualization process, while the simulation is still running. The developed libraries are made publicly available as open source projects. We provide a proof-of-concept integration, coupling the neuronal simulator NEST to basic 2D and 3D visualization.</abstract>
    <parentTitle language="eng">High Performance Computing. ISC High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers</parentTitle>
    <identifier type="isbn">978-3-030-02465-9</identifier>
    <identifier type="doi">10.1007/978-3-030-02465-9_18</identifier>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>© Alle Rechte vorbehalten</licence>
    <author>Simon Oehrl</author>
    <author>Jan Müller</author>
    <author>Jan Schnathmeier</author>
    <author>Jochen Martin Eppler</author>
    <author>Alexander Peyser</author>
    <author>Hans Ekkehard Plesser</author>
    <author>Benjamin Weyers</author>
    <author>Bernd Hentschel</author>
    <author>Torsten W. Kuhlen</author>
    <author>Tom Vierjahn</author>
    <collection role="institutes" number="FB 5">Wirtschaft und Informationstechnik Bocholt</collection>
    <thesisPublisher>Westfälische Hochschule Gelsenkirchen Bocholt Recklinghausen</thesisPublisher>
  </doc>
</export-example>
