Energy-Efficient Implementation of the Lattice Boltzmann Method

Ondrej Vysocky (), Markus Holzer, Gabriel Staffelbach, Radim Vavrik and Lubomir Riha
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Ondrej Vysocky: IT4Innovations National Supercomputing Center, VŠB—Technical University of Ostrava, 708 00 Ostrava-Poruba, Czech Republic
Markus Holzer: Chair for System Simulation, Friedrich-Alexander-Universitat Erlangen-Nurnberg, 91058 Erlangen, Germany
Gabriel Staffelbach: CERFACS, 31057 Toulouse Cedex 1, France
Radim Vavrik: IT4Innovations National Supercomputing Center, VŠB—Technical University of Ostrava, 708 00 Ostrava-Poruba, Czech Republic
Lubomir Riha: IT4Innovations National Supercomputing Center, VŠB—Technical University of Ostrava, 708 00 Ostrava-Poruba, Czech Republic

Energies, 2024, vol. 17, issue 2, 1-15

Abstract: Energy costs are now one of the leading criteria when procuring new computing hardware. Until recently, developers and users focused only on pure performance in terms of time-to-solution. Recent advances in energy-aware runtime systems render the optimization of both runtime and energy-to-solution possible by including hardware tuning depending on the application’s workload. This work presents the impact that energy-sensitive tuning strategies have on a state-of-the-art high-performance computing code based on the lattice Boltzmann approach called waLBerla . We evaluate both CPU-only and GPU-accelerated supercomputers. This paper demonstrates that, with little user intervention, when using the energy-efficient runtime system called MERIC, it is possible to save a significant amount of energy while maintaining performance.

Keywords: HPC; GPU accelerators; DVFS; MERIC; energy-aware runtime system; dynamic resource management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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