Optimizations of DNS Codes for Turbulence on SX-Aurora TSUBASA,
Optimizations of DNS Codes for Turbulence on SX-Aurora TSUBASA,
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SX-Aurora TSUBASA 上湍流 DNS 代码的优化，
DOI：
10.1007/978-3-030-68049-7_4
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
and H. Kobayashi
中科院分区：
文献类型：
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作者：
Y. Takenaka;M. Yokokawa;T. Ishihara;K. Komatsu;and H. Kobayashi
自20世纪60年代后期以来，已经进行了不可压缩湍流的直接数值模拟（DNSs），但模拟再现强非线性湍流在现实世界中还没有实现。我们已经实现了两种并行傅立叶谱DNS代码，通过使用一维区域分解（板分解）和二维区域分解（铅笔分解）的尖端矢量超级计算机，以进行更大的DNS比以往任何时候都。在傅里叶谱方法的DNS中，三维快速傅里叶变换（3D-FFT）占计算时间的90%以上。因此，在这篇文章中，我们的矢量计算机的FFT代码进行了优化SX-Aurora TSUBASA，矢量执行性能的代码进行了测量。优化后，铅笔分解代码的计算时间比优化前缩短了1.6倍。
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.