Performance Evaluation of Lattice Boltzmann Method for Fluid Simulation on A64FX Processor and Supercomputer Fugaku

Author:

Watanabe Seiya1,Hu Changhong1

Affiliation:

1. Kyushu University, Japan

Funder

HPCI System Research Project

Publisher

ACM

Reference29 articles.

1. Christie Alappat Jan Laukemann Thomas Gruber Georg Hager Gerhard Wellein Nils Meyer and Tilo Wettig. 2020. Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX. In 2020 IEEE/ACM Performance Modeling Benchmarking and Simulation of High Performance Computer Systems (PMBS). 1–7. https://doi.org/10.1109/PMBS51919.2020.00006 Christie Alappat Jan Laukemann Thomas Gruber Georg Hager Gerhard Wellein Nils Meyer and Tilo Wettig. 2020. Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX. In 2020 IEEE/ACM Performance Modeling Benchmarking and Simulation of High Performance Computer Systems (PMBS). 1–7. https://doi.org/10.1109/PMBS51919.2020.00006

2. Peter Bailey , Joe Myre , Stuart  D.C. Walsh , David  J. Lilja , and Martin  O. Saar . 2009 . Accelerating Lattice Boltzmann Fluid Flow Simulations Using Graphics Processors. In 2009 International Conference on Parallel Processing. 550–557 . https://doi.org/10.1109/ICPP.2009.38 Peter Bailey, Joe Myre, Stuart D.C. Walsh, David J. Lilja, and Martin O. Saar. 2009. Accelerating Lattice Boltzmann Fluid Flow Simulations Using Graphics Processors. In 2009 International Conference on Parallel Processing. 550–557. https://doi.org/10.1109/ICPP.2009.38

3. Petaflop biofluidics simulations on a two million-core system

4. A Model for Collision Processes in Gases. I. Small Amplitude Processes in Charged and Neutral One-Component Systems

5. Enrico Calore , Alessandro Gabbana , Sebastiano Fabio Schifano , and Raffaele Tripiccione . 2018. Early Experience on Using Knights Landing Processors for Lattice Boltzmann Applications . In Parallel Processing and Applied Mathematics, Roman Wyrzykowski, Jack Dongarra, Ewa Deelman, and Konrad Karczewski (Eds.). Springer International Publishing , Cham , 519–530. https://doi.org/10.1007/978-3-319-78024-5_45 Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, and Raffaele Tripiccione. 2018. Early Experience on Using Knights Landing Processors for Lattice Boltzmann Applications. In Parallel Processing and Applied Mathematics, Roman Wyrzykowski, Jack Dongarra, Ewa Deelman, and Konrad Karczewski (Eds.). Springer International Publishing, Cham, 519–530. https://doi.org/10.1007/978-3-319-78024-5_45

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