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001     943427
005     20230127125919.0
037 _ _ |a FZJ-2023-01012
100 1 _ |a Küsters, Anne
|0 P:(DE-Juel1)166193
|b 0
|e Corresponding author
|u fzj
245 _ _ |a Trainee Poster Award on 28th Annual Computational Neuroscience Meeting CNS*2019
260 _ _ |b Organisation for Computational Neurosciences
336 7 _ |a Other
|2 DataCite
336 7 _ |a Grant
|2 EndNote
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Award
|b award
|m award
|0 PUB:(DE-HGF)38
|s 1674807015_21430
|2 PUB:(DE-HGF)
336 7 _ |a OTHER
|2 ORCID
336 7 _ |a Other
|2 DINI
502 _ _ |d 2019
520 _ _ |a The poster “Arbor: A morphologically detailed neural network simulation library for modern high performance computer architectures” by Anne Küsters received the “Trainee Poster Award” by the Organisation for Computational Neurosciences on the 28th Annual Computational Neuroscience Meeting CNS*2019, Barcelona, Spain.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
|x 0
909 C O |o oai:juser.fz-juelich.de:943427
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)166193
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a award
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED

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