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100 | 1 | _ | |a Lintermann, Andreas |0 P:(DE-Juel1)165948 |b 0 |e Corresponding author |u fzj |
245 | _ | _ | |a Performance of ODROID-MC1 for scientific flow problems |
260 | _ | _ | |a Amsterdam [u.a.] |c 2019 |b Elsevier Science |
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520 | _ | _ | |a In late 2017, Hardkernel released the ODROID-MC1 cluster system, which is based on the ODROID-XU4 single-board computer. The cluster consists of four nodes, each equipped with a Samsung Exynos 5 Octa (5422) CPU. The system promises high computational power under low energy consumption. In this paper, the applicability of such a systems to scientific problems is investigated. Therefore, flow computations using a lattice-Boltzmann method are employed to evaluate the single core, single node, and multi-node performance and scalability of the cluster. The lattice-Boltzmann code is part of a larger simulation framework and scales well across several high-performance computers. Performance measurement results are juxtaposed to those obtained on high-performance computers and show that the ODROID-MC1 can indeed compete with high-class server CPUs. Energy measurements corroborate the ODROID’s energy efficiency. Its drawbacks result from the limited amount of available memory, the corresponding memory bandwidth, and the low-performing Cortex A7 cores of the big.LITTLE architecture. The applicability to scientific applications is shown by a three-dimensional simulation of the flow in a slot burner configuration. |
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773 | _ | _ | |a 10.1016/j.future.2018.12.059 |g Vol. 95, p. 149 - 162 |0 PERI:(DE-600)2020551-X |p 149 - 162 |t Future generation computer systems |v 95 |y 2019 |x 0167-739X |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/861525/files/Lintermann_FGCS_OdroidMC1.pdf |y OpenAccess |
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