Abstract
The Building-Cube Method (BCM) has been proposed as a new CFD method for an efficient three-dimensional flow simulation on large-scale supercomputing systems, and is based on equally-spaced Cartesian meshes. As a flow domain can be divided into equally-partitioned cells due to the equally-spaced meshes, the flow computations can be divided to partial computations of the same computational cost. To achieve a high sustained performance, architecture-aware implementations and optimizations considering characteristics of supercomputing systems are essential because there have been various types of supercomputing systems such as a scalar type, a vector type, and an accelerator type. This paper discusses the architecture-aware implementations and optimizations for various supercomputing systems such as an Intel Nehalem-EP cluster, an Intel Nehalem-EX cluster, Fujitsu FX-1, Hitachi SR16000 M1, NEC SX-9, and a GPU cluster, and analyses their sustained performance for BCM. The performance analysis shows that memory and network capabilities largely affect the performance of BCM rather than computational potentials.
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Acknowledgements
The author would like to thank Dr. Kazuhiro Nakahashi of JAXA, Lecturer Daisuke Sasaki of Kanazawa Institute of Technology, Assistant Professor Shun Takahashi of Tokyo University Agriculture and Technology, and Dr. Akihiro Musa of NEC cooperation for valuable discussions on this research. This research was partially supported by Grant-in- Aid for Scientific Research (S) #21226018; Grant-in- Aid for Young Scientists (B) #23700028; Core Research of Evolutional Science and Technology of Japan Science and Technology Agency (JST CREST).
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Komatsu, K., Soga, T., Egawa, R., Takizawa, H., Kobayashi, H. (2013). Performance Evaluation of a Next-Generation CFD on Various Supercomputing Systems. In: Resch, M., Wang, X., Bez, W., Focht, E., Kobayashi, H. (eds) Sustained Simulation Performance 2012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32454-3_11
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DOI: https://doi.org/10.1007/978-3-642-32454-3_11
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