Masaaki Kondo

Keio University, Japan

Feasibility Study for the Next-Generation Japanese Flagship Supercomputer

Abstract

The demand of high-performance computing is growing as it becomes an indispensable framework for science and AI. It is already time to consider architecture, system software, and applications for next-generation supercomputer systems beyond exascale. There are many technical challenges towards development of next generation systems as we are now facing the end of Moore’s law. Together with various domestic and international partners, we have been conducting a feasibility studies on the next-generation Japanese flagship supercomputer as a part of a national project by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) Japan. In this talk, we introduce an overview and the recent status of Riken’s feasibility study as a system research team.

Biography

Masaaki Kondo received the BS degree in information engineering, in 1998, the MS degree in engineering from the University of Tsukuba, in 2000, and the Ph.D. degree from The University of Tokyo, in 2003. He is currently a professor of information and computer science at Keio University. He is also working at the RIKEN Center for Computational Science as the team leader of Next Generation High Performance Architecture Research Team. Currently, his research interests include computer architecture, high performance computing, VLSI designs, artificial intelligence, and quantum computing. Masaaki Kondo received the BS degree in information engineering, in 1998, the MS degree in engineering from the University of Tsukuba, in 2000, and the Ph.D. degree from The University of Tokyo, in 2003. He is currently a professor of information and computer science at Keio University. He is also working at the RIKEN Center for Computational Science as the team leader of Next Generation High Performance Architecture Research Team. Currently, his research interests include computer architecture, high performance computing, VLSI designs, artificial intelligence, and quantum computing.