Characteristic Analysis of Applications for Designing a Future HPC System
Computer simulations have become an effective tool for finding solutions to various social and scientific challenges: countermeasures against disasters, environmental issues, industrial competitiveness, and so on. To research future HPC systems for finding such solutions, the Ministry of Education, Culture, Sports, Science and Technology in Japan conducted a research program, “Feasibility Study of Future HPCI Systems”. Tohoku University, the Japan Agency for Marine-Earth Science and Technology, and NEC Corporation participated in the program. An application research group was formed to clarify characteristics of several application programs in the fields of natural disaster mitigation and high productivity engineering for designing a future HPC system by around 2020. In this article, we describe the overview of our research in the program.The application research group investigates characteristics of the application programs; for example, the ratio of memory bandwidth to computational performance (B∕F), calculation amount, memory capacity, MPI data traffic, and so on. Then, we clarify that the B/Fs of most researched application programs are greater than 2 B/F. Thus, these application programs are memory intensive, and the B/F in future HPC systems will need 2 B/F or greater to preserve the computational performance. Also, this group estimates the performance of the application programs on our designed future HPC system with a high memory bandwidth. Our research shows that our future HPC system has the potential to overcome the challenges of natural disaster mitigation and high productivity engineering.
KeywordsApplication Program Memory Bandwidth Target Application Coupling Simulation Scientific Challenge
This work was done in collaboration with our application research group, and many colleagues contributed to it. We particularly thank Dr. Takane Hori and Dr. Kenichi Itakura of the Japan Agency for Marine-Earth Science and Technology, Associate Professor Ryusuke Egawa of Tohoku University, and Yoko Isobe and Akihiro Yamashita of NEC for valuable discussions on this research. We also thank Takashi Abe and Kenta Yamaguchi of NEC Solution Innovators and Midori Kano of IX Knowledge for their support.
- 1.Mitsubishi Regional Jet: Overview of the MRJ. http://www.mrj-japan.com/outline.html (2008)
- 3.Ichimura, T., Fujita, K., Tanaka, S., Hori M., Lalith, M., Shizawa, Y., Kobayashi, H.: Physics-based urban earthquake simulation enhanced by 10.7 BlnDOF × 30 K time-step unstructured FE non-linear seismic wave simulation. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, New Orleans (2014)Google Scholar
- 4.Arikawa, T.: Super roller flume for computer aided design of maritime structure, CADMAS-SURF/3D. In: Proceedings of The 34th International Conference on Coastal Engineering, Seoul (2014)Google Scholar
- 5.Sugiura, N., Awaji, T., Masuda, S., Mochizuki, T., Toyoda, T., Miyama, T., Igarashi, H., Ishikawa, Y.: Development of a four-dimensional variational coupled data assimilation system for enhanced analysis and prediction of seasonal to interannual climate variations. J. Geophys. Res. 113, C10017 (2008)CrossRefGoogle Scholar
- 6.Japan Meteorological Agency: Outline of the operational numerical weather prediction at the japan meteorological agency. http://www.jma.go.jp/jma/jma-eng/jma-center/nwp/outline2013-nwp/index.htm (2013)
- 7.Takahashi, K., Onishi, R., Sugiyama, T., Baba, Y., Goto, K., Fuchigami, H.: Seamless simulations in climate variability and HPC. In: Resch, M., et al. (eds.) High Performance Computing on Vector Systems 2009, pp. 199–219. Springer, Berlin (2009)Google Scholar
- 8.Miyaki, S., Yamamoto, S., Sasao, Y., Momma, K., Miyawaki, T., Ooyama, H.: Unsteady flow effect on nonequilibrium condensation in 3-D low pressure steam turbine stages. In: Proc. ASME Turbo Expo 2013, San Antonio, GT2013-94832 (2013)Google Scholar
- 10.Kobayashi, H.: Implication of memory performance in vector-parallel and scalar-parallel HEC. In: Resch, M., et al. (eds.) High Performance Computing on Vector Systems 2006, pp. 21–50. Springer, Berlin (2006)Google Scholar