This title appears in the Scientific Report :
2019
Please use the identifier:
http://dx.doi.org/10.1016/j.future.2018.12.059 in citations.
Please use the identifier: http://hdl.handle.net/2128/21872 in citations.
Performance of ODROID-MC1 for scientific flow problems
Performance of ODROID-MC1 for scientific flow problems
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...
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Personal Name(s): | Lintermann, Andreas (Corresponding author) |
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Pleiter, Dirk / Schröder, Wolfgang | |
Contributing Institute: |
JARA - HPC; JARA-HPC Jülich Supercomputing Center; JSC |
Published in: | Future generation computer systems, 95 (2019) S. 149 - 162 |
Imprint: |
Amsterdam [u.a.]
Elsevier Science
2019
|
DOI: |
10.1016/j.future.2018.12.059 |
Document Type: |
Journal Article |
Research Program: |
Supercomputer Facility |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/21872 in citations.
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. |