An Efficient Optimization of Hll Method for the Second Generation of Intel Xeon Phi Processor
- 作者: Kulikov I.1, Chernykh I.1, Glinskiy B.1, Protasov V.2
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隶属关系:
- Institute of Computational Mathematics and Mathematical Geophysics Siberian Branch
- Novsibirsk State Technical University
- 期: 卷 39, 编号 4 (2018)
- 页面: 543-551
- 栏目: Article
- URL: https://journals.rcsi.science/1995-0802/article/view/202024
- DOI: https://doi.org/10.1134/S1995080218040091
- ID: 202024
如何引用文章
详细
In this paper, a new approach to vectorization of algorithms of computational fluid dynamics to simulate the dynamics of astrophysical objects is presented. A co-design of a computational model, from the formulation of equations to software tools, is described. The code performance is analyzed. A speed of 245 gigaflops on Intel Xeon Phi 7250 accelerator and 302 gigaflops on Intel Xeon Phi 7290 accelerator is reached. The code developed is used to solve a problem of interaction of different astrophysical objects such as galaxies, gas clouds, stars clusters.
作者简介
I. Kulikov
Institute of Computational Mathematics and Mathematical Geophysics Siberian Branch
编辑信件的主要联系方式.
Email: kulikov@ssd.sscc.ru
俄罗斯联邦, Novosibirsk, 630090
I. Chernykh
Institute of Computational Mathematics and Mathematical Geophysics Siberian Branch
Email: kulikov@ssd.sscc.ru
俄罗斯联邦, Novosibirsk, 630090
B. Glinskiy
Institute of Computational Mathematics and Mathematical Geophysics Siberian Branch
Email: kulikov@ssd.sscc.ru
俄罗斯联邦, Novosibirsk, 630090
V. Protasov
Novsibirsk State Technical University
Email: kulikov@ssd.sscc.ru
俄罗斯联邦, Novosibirsk, 630073