Gast ::
| Hauptseite > Publikationsdatenbank > Performance of ODROID-MC1 for scientific flow problems |
| Hauptseite > Publikationsdatenbank > Performance of ODROID-MC1 for scientific flow problems |
| Journal Article | FZJ-2019-01983 |
; ;
2019
Elsevier Science
Amsterdam [u.a.]
This record in other databases: 
Please use a persistent id in citations: http://hdl.handle.net/2128/21872 doi:10.1016/j.future.2018.12.059
Abstract: 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.
; 
; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
|
The record appears in these collections: |
PDF
PDF (PDFA)