Optimizations of DNS Codes for Turbulence on SX-Aurora TSUBASA

Yujiro Takenaka (), Mitsuo Yokokawa (), Takashi Ishihara (), Kazuhiko Komatsu () and Hiroaki Kobayashi ()
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Yujiro Takenaka: Kobe University, Graduate School of System Informatics
Mitsuo Yokokawa: Kobe University, Graduate School of System Informatics
Takashi Ishihara: Okayama University, Graduate School of Environmental and Life Science
Kazuhiko Komatsu: Cyberscience Center, Tohoku University
Hiroaki Kobayashi: Tohoku University, Graduate School of Information Sciences

A chapter in Sustained Simulation Performance 2019 and 2020, 2021, pp 51-59 from Springer

Abstract: Abstract Direct numerical simulations (DNSs) of incompressible turbulence have been performed since the late 1960s, but simulations that reproduce strongly nonlinear turbulent flows as in the real-world have not been realized. We have implemented two kinds of parallel Fourier-spectral DNS codes by using a one-dimensional domain decomposition (slab decomposition) and a two-dimensional domain decomposition (pencil decomposition) for a cutting-edge vector supercomputer in order to carry out larger DNSs than ever before. In the DNS by the Fourier spectral method, the three-dimensional Fast Fourier Transforms (3D-FFTs) account for more than 90% of the computational time. Thus, in this article, our FFT codes for vector computers are optimized on SX-Aurora TSUBASA, and vector execution performance of the codes is measured. After optimization, the calculation time of the pencil decomposition code is 1.6 times shorter than before optimization.

Date: 2021
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DOI: 10.1007/978-3-030-68049-7_4

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