An Efficient Optimization of Hll Method for the Second Generation of Intel Xeon Phi Processor


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Resumo

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.

Sobre autores

I. Kulikov

Institute of Computational Mathematics and Mathematical Geophysics Siberian Branch

Autor responsável pela correspondência
Email: kulikov@ssd.sscc.ru
Rússia, Novosibirsk, 630090

I. Chernykh

Institute of Computational Mathematics and Mathematical Geophysics Siberian Branch

Email: kulikov@ssd.sscc.ru
Rússia, Novosibirsk, 630090

B. Glinskiy

Institute of Computational Mathematics and Mathematical Geophysics Siberian Branch

Email: kulikov@ssd.sscc.ru
Rússia, Novosibirsk, 630090

V. Protasov

Novsibirsk State Technical University

Email: kulikov@ssd.sscc.ru
Rússia, Novosibirsk, 630073


Declaração de direitos autorais © Pleiades Publishing, Ltd., 2018

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