Performance Comparison for Neuroscience Application Benchmarks

Herten, Andreas; Hater, Thorsten; Pleiter, Dirk; Klijn, Wouter

doi:10.1007/978-3-030-34356-9_31

Contribution to a conference proceedings/Contribution to a book

FZJ-2019-06382

Performance Comparison for Neuroscience Application Benchmarks

Herten, A. (Corresponding author)FZJ* ; Hater, T.FZJ* ; Klijn, W.FZJ* ; Pleiter, D.FZJ*

2019
Springer Heidelberg
ISBN: 978-3-030-34356-9, 978-3-030-34356-9 (electronic)

Lecture Notes in Computer Science
ISC High Performance 2019, ISC, Frankfurt, Germany, 16 Jun 2019 - 20 Jun 2019 Heidelberg : Springer, Lecture Notes in Computer Science 11887, (2019) [10.1007/978-3-030-34356-9_31] special issue: "High Performance Computing" (978-3-030-34356-9)

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Please use a persistent id in citations: http://hdl.handle.net/2128/23636 doi:10.1007/978-3-030-34356-9_31

Abstract: Researchers 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.

Note: The pre-print version of the article (mostly idently to this version) can be found on arXiv: https://arxiv.org/abs/1908.02702

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