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@ARTICLE{Lintermann:861525,
      author       = {Lintermann, Andreas and Pleiter, Dirk and Schröder,
                      Wolfgang},
      title        = {{P}erformance of {ODROID}-{MC}1 for scientific flow
                      problems},
      journal      = {Future generation computer systems},
      volume       = {95},
      issn         = {0167-739X},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2019-01983},
      pages        = {149 - 162},
      year         = {2019},
      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.},
      cin          = {JSC / JARA-HPC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406 / $I:(DE-82)080012_20140620$},
      pnm          = {513 - Supercomputer Facility (POF3-513)},
      pid          = {G:(DE-HGF)POF3-513},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000465509600014},
      doi          = {10.1016/j.future.2018.12.059},
      url          = {https://juser.fz-juelich.de/record/861525},
}