Hauptseite > Publikationsdatenbank > Supercomputers ready for use as discovery machines for neuroscience > print

001     137380
005     20240313094957.0
037 _ _ |a FZJ-2013-03827
100 1 _ |0 P:(DE-Juel1)151364
|a Kunkel, Susanne
|b 0
|u fzj
111 2 _ |a 10th Meeting of the German Neuroscience Society
|c Goettingen
|d 2013-03-13 - 2013-03-16
|g NWG 2013
|w Germany
245 _ _ |a Supercomputers ready for use as discovery machines for neuroscience
260 _ _ |c 2013
295 1 0 |a Proceedings of the 10th Meeting of the German Neuroscience Society
300 _ _ |a T26-8B
336 7 _ |0 PUB:(DE-HGF)8
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336 7 _ |0 7
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336 7 _ |2 BibTeX
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520 _ _ |a NEST is a widely used tool to simulate biological spiking neural networks [1]. The simulator is subject to continuous development, which is driven by the requirements of the current neuroscientific questions. At present, a major part of the software development focuses on the improvement of the simulator's fundamental data structures in order to enable brain-scale simulations on supercomputers such as the Blue Gene system in Jülich and the K computer in Kobe. Based on our memory-usage model [2], we redesigned the neuronal and the connection infrastructure of NEST such that networks of 10^8 neurons and 10^12 synapses can be simulated on the K computer [3]. These improvements reduce the memory footprint without compromising on the simulator's general usability and user interface. Here, we describe the recent technological advances which enable NEST to achieve high performance and good scaling of network setup and simulation on the K computer and on the Blue Gene system. We demonstrate that the usability of these machines for network simulations has become comparable to running simulations on a single PC.
536 _ _ |a 331 - Signalling Pathways and Mechanisms in the Nervous System (POF2-331)
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536 _ _ |a 411 - Computational Science and Mathematical Methods (POF2-411)
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536 _ _ |a Brain-Scale Simulations (jinb33_20121101)
|0 G:(DE-Juel1)jinb33_20121101
|c jinb33_20121101
|x 2
|f Brain-Scale Simulations
536 _ _ |a BTN-Peta - The Next-Generation Integrated Simulation of Living Matter (BTN-Peta-2008-2012)
|0 G:(DE-Juel1)BTN-Peta-2008-2012
|c BTN-Peta-2008-2012
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536 _ _ |a HASB - Helmholtz Alliance on Systems Biology (HGF-SystemsBiology)
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536 _ _ |a SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017)
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536 _ _ |a W2Morrison - W2/W3 Professorinnen Programm der Helmholtzgemeinschaft (B1175.01.12)
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|c B1175.01.12
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536 _ _ |a SLNS - SimLab Neuroscience (Helmholtz-SLNS)
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700 1 _ |0 P:(DE-Juel1)145897
|a Schmidt, Maximilian
|b 1
|u fzj
700 1 _ |0 P:(DE-Juel1)142538
|a Eppler, Jochen Martin
|b 2
|u fzj
700 1 _ |0 P:(DE-HGF)0
|a Igarashi, Jun
|b 3
700 1 _ |0 P:(DE-HGF)0
|a Masumoto, Gen
|b 4
700 1 _ |0 P:(DE-HGF)0
|a Fukai, Tomoki
|b 5
700 1 _ |0 P:(DE-HGF)0
|a Ishii, Shin
|b 6
700 1 _ |0 P:(DE-HGF)0
|a Plesser, Hans Ekkehard
|b 7
700 1 _ |0 P:(DE-Juel1)151166
|a Morrison, Abigail
|b 8
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700 1 _ |0 P:(DE-Juel1)144174
|a Diesmann, Markus
|b 9
|u fzj
700 1 _ |0 P:(DE-Juel1)144806
|a Helias, Moritz
|b 10
|u fzj
856 4 _ |u https://www.nwg-goettingen.de/2013/upload/file/Proceedings_NWG2013.pdf
909 C O |o oai:juser.fz-juelich.de:137380
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914 1 _ |y 2013
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-6-20090406
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981 _ _ |a I:(DE-Juel1)IAS-6-20130828

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