TY  - CONF
AU  - Oehrl, Simon
AU  - Müller, Jan
AU  - Schnathmeier, Jan
AU  - Eppler, Jochen Martin
AU  - Peyser, Alexander
AU  - Plesser, Hans Ekkehard
AU  - Weyers, Benjamin
AU  - Hentschel, Bernd
AU  - Kuhlen, Torsten
AU  - Vierjahn, Tom
TI  - Streaming Live Neuronal Simulation Data into Visualization and Analysis
VL  - 11203
CY  - Cham
PB  - Springer International Publishing
M1  - FZJ-2019-00745
SN  - 978-3-030-02464-2 (print)
T2  - Lecture Notes in Computer Science
SP  - 258 - 272
PY  - 2018
N1  - Article attached has a 12 month embargo (until 25.1.2020): https://www.springer.com/de/open-access/authors-rights/self-archiving-policy/2124
AB  - 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
T2  - ISC High Performance 2018
CY  - 24 Jun 2018 - 28 Jun 2018, Frankfurt (Germany)
Y2  - 24 Jun 2018 - 28 Jun 2018
M2  - Frankfurt, Germany
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
UR  - <Go to ISI:>//WOS:000612998200022
DO  - DOI:10.1007/978-3-030-02465-9_18
UR  - https://juser.fz-juelich.de/record/859933
ER  -