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000867772 0247_ $$2ISSN$$a1611-3349
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000867772 037__ $$aFZJ-2019-06382
000867772 041__ $$aEnglish
000867772 1001_ $$0P:(DE-Juel1)145478$$aHerten, Andreas$$b0$$eCorresponding author
000867772 1112_ $$aISC High Performance 2019$$cFrankfurt$$d2019-06-16 - 2019-06-20$$gISC$$wGermany
000867772 245__ $$aPerformance Comparison for Neuroscience Application Benchmarks
000867772 260__ $$aHeidelberg$$bSpringer$$c2019
000867772 29510 $$aLecture Notes in Computer Science
000867772 300__ $$a418 - 431
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000867772 4900_ $$aLecture Notes in Computer Science$$v11887
000867772 500__ $$aThe pre-print version of the article (mostly idently to this version) can be found on arXiv: https://arxiv.org/abs/1908.02702
000867772 520__ $$aResearchers within the Human Brain Project and related projects have in the last couple of years expanded their needs for high-performance computing infrastructures. The needs arise from a diverse set of science challenges that range from large-scale simulations of brain models to processing of extreme-scale experimental data sets. The ICEI project, which is in the process of creating a distributed infrastructure optimised for brain research, started to build-up a set of benchmarks that reflect the diversity of applications in this field. In this paper we analyse the performance of some selected benchmarks on IBM POWER8 and Intel Skylake based systems with and without GPUs.
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000867772 536__ $$0G:(EU-Grant)800858$$aICEI - Interactive Computing E-Infrastructure for the Human Brain Project (800858)$$c800858$$fH2020-SGA-INFRA-FETFLAG-HBP$$x3
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000867772 7001_ $$0P:(DE-Juel1)176815$$aHater, Thorsten$$b1
000867772 7001_ $$0P:(DE-Juel1)168169$$aKlijn, Wouter$$b2
000867772 7001_ $$0P:(DE-Juel1)144441$$aPleiter, Dirk$$b3
000867772 770__ $$aHigh Performance Computing$$z978-3-030-34356-9
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000867772 8564_ $$uhttps://juser.fz-juelich.de/record/867772/files/iwoph19-icei.pdf$$yPublished on 2019-12-03. Available in OpenAccess from 2020-12-03.
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