This title appears in the Scientific Report :
2018
Please use the identifier:
http://hdl.handle.net/2128/21393 in citations.
Please use the identifier: http://dx.doi.org/10.1007/978-3-030-02465-9_18 in citations.
Streaming Live Neuronal Simulation Data into Visualization and Analysis
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 supercomputer...
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Personal Name(s): | Oehrl, Simon (Corresponding author) |
---|---|
Müller, Jan / Schnathmeier, Jan / Eppler, Jochen Martin / Peyser, Alexander / Plesser, Hans Ekkehard / Weyers, Benjamin / Hentschel, Bernd / Kuhlen, Torsten / Vierjahn, Tom | |
Contributing Institute: |
JARA - HPC; JARA-HPC Jülich Supercomputing Center; JSC |
Published in: |
High Performance Computing / Yokota, Rio (Editor) [0000-0001-7573-7873] ; Cham : Springer International Publishing, 2018, Chapter 18 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-030-02464-2=978-3-030-02465-9 ; doi:10.1007/978-3-030-02465-9 |
Imprint: |
Cham
Springer International Publishing
2018
|
Physical Description: |
258 - 272 |
ISBN: |
978-3-030-02465-9 (electronic) 978-3-030-02464-2 (print) |
DOI: |
10.1007/978-3-030-02465-9_18 |
Conference: | ISC High Performance 2018, Frankfurt (Germany), 2018-06-24 - 2018-06-28 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
SimLab Neuroscience Human Brain Project Specific Grant Agreement 2 Theory, modelling and simulation Computational Science and Mathematical Methods |
Series Title: |
Lecture Notes in Computer Science
11203 |
Link: |
Published on 2019-01-25. Available in OpenAccess from 2020-01-25. Published on 2019-01-25. Available in OpenAccess from 2020-01-25. |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1007/978-3-030-02465-9_18 in citations.
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.KeywordsNeuroscientific simulation In situ visualization |