RIKEN Center for Computational Science HPC Usability Research Team
Team Leader: Hiroya Matsuba (Ph.D.)
Our mission is to improve programming productivity for supercomputers. Raising supercomputer-programming efficiency is important because of the growing need to rapidly simulate various real-world events and phenomena. Going forward, rapid simulation will become even more necessary, as it is expected to be an essential tool for artificial intelligence, given simulations provide virtual environments in which AI can learn. Additionally, simulation aids more practical data analysis because it can generate data of rare events.
We are researching programming techniques to combine existing tools and frameworks for simulation, data analysis, and machine learning, as well as preparing such tools for use on supercomputer Fugaku. We are also developing a new programming environment that employs highly abstract descriptions to make use of these tools and frameworks. This will enable users to conduct simulations, data analysis, and their combinations with less development effort than is required today. We are also collaborating with industry. Considering the fact that the industrial trend is shifting from making products to providing services, we believe academic institutions should provide our research results to users as a service. In order to promote this goal, we are investigating not only the most efficient programming techniques, but also what will produce the most practical benefits for users.
Main Research Fields
Related Research Fields
- Interdisciplinary Science & Engineering
- Simulation Platform
- Data Analytics Platform
- Virtualization and Container Technologies
Papers with an asterisk(*) are based on research conducted outside of RIKEN.
- 1.Hiroya Matsuba, Motohiko Matsuda and Masatoshi Kawai.:
"Pyne: A programming framework for parallel simulation development"
Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2). (2019).
- 2.Motohiko Matsuda, Hiroya Matsuba, Jorji Nonaka, Keiji Yamamoto, Hiroshi Shibata and Toshiyuki Tsukamoto.:
"Modeling the Existing Cooling System to Learn its Behavior for Post-K Supercomputer at RIKEN R-CCS"
Energy Efficient HPC State of the Practice Workshop (EE HPC SOP). (2019).
- 3.Jorji Nonaka, Motohiko Matsuda, Hiroya Matsuba, Keiji Yamamoto, Yasumitsu Maejima, Toshiyuki Tsukamoto.:
"CPU Water Cooling Temperature Effects on the Performance and Energy Consumption"
ISC High Performance 2019 (poster). (2019).
- 4.*Hiroya Matsuba, Kaustubh Joshi, Matti Hiltunen and Richard Schlichting.:
"Airfoil: A Topology Aware Distributed Load Balancing Service"
2015 IEEE 8th International Conference on Cloud Computing. (2015).
- 5.*Hiroya Matsuba, Matti Hiltunen, Kaustubh Joshi and Richard Schlichting.:
"Discovering the Structure of Cloud Applications Using Sampled Packet Traces"
2014 IEEE International Conference on Cloud Engineering (2014).
- 6.*Atsushi Hori, Yoshikazu Kamoshida, Hiroya Matsuba, Kazuki Ohta, Takashi Yasui, Shinji Sumimoto and Yutaka Ishikawa.:
"On-demand file staging system for Linux clusters"
2009 IEEE International Conference on Cluster Computing. (2009).
- 7.*Kazuki Ohta, Hiroya Matsuba and Yutaka Ishikawa.:
"Gather-arrange-scatter: Node-level request reordering for parallel file systems on multi-core clusters"
2008 IEEE International Conference on Cluster Computing. (2008).
- 8.*Hiroya Matsuba and Yutaka Ishikawa.:
"Single IP Address Cluster for Internet Servers"
2007 IEEE International Parallel and Distributed Processing Symposium. (2007).
- Hiroya Matsuba
- Team Leader
- Motohiko Matsuda
- Research Scientist
- Masatoshi Kawai
- Postdoctoral Researcher
7-1-26, Minatojima-minami-machi, Chuo-ku,