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Streaming Live Neuronal Simulation Data into Visualization and Analysis

  • 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. 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.

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Metadaten
Author:Simon Oehrl, Jan Müller, Jan Schnathmeier, Jochen Martin Eppler, Alexander Peyser, Hans Ekkehard Plesser, Benjamin Weyers, Bernd Hentschel, Torsten W. Kuhlen, Tom Vierjahn
DOI:https://doi.org/10.1007/978-3-030-02465-9_18
ISBN:978-3-030-02465-9
Parent Title (English):High Performance Computing. ISC High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers
Publisher:Springer
Place of publication:Cham
Editor:Rio Yokota, Michèle Weiland, John Shalf, Sadaf Alam
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2019/01/25
Year of first Publication:2018
Publishing Institution:Westfälische Hochschule Gelsenkirchen Bocholt Recklinghausen
Release Date:2019/01/30
First Page:258
Last Page:272
Departments / faculties:Fachbereiche / Wirtschaft und Informationstechnik Bocholt
Licence (German):License LogoEs gilt das Urheberrechtsgesetz

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