Masaaki Kondo

Riken / Keio University, Japan

Driving the Next Wave of AI-for-Science through the Development of FugakuNEXT

Abstract

The emergence of AI is transforming the way scientific discoveries are made. By tightly integrating AI with large-scale simulations, experimental data, and scientific workflows, the AI-for-Science (AI4S) paradigm is expected to accelerate breakthroughs in a wide range of scientific and engineering disciplines. To support this new era, RIKEN is developing FugakuNEXT, the successor to Japan’s flagship supercomputer Fugaku. Building on the CPU technologies cultivated through previous systems, FugakuNEXT will introduce GPUs as accelerators and provide a next-generation AI-HPC platform where simulation and AI workloads are deeply integrated. This talk presents the vision of AI-for-Science, the key requirements for future AI-HPC infrastructures, and the current status and progress of the FugakuNEXT project.

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 division director of Next-Generation HPC Infrastructure Development Division. Currently, his research interests include computer architecture, high performance computing, VLSI designs, artificial intelligence, and quantum computing.

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