Team Leader, High Performance Big Data Team, Riken CCS. Japan.

“System Software Solutions for FugakuNEXT and Beyond“

Thursday 19 February 2026

Abstract

The FugakuNEXT project advances Japan’s high-performance computing infrastructure, aiming to extend the capabilities of the current Fugaku system while exploring new architectures for the AI-for-Science era. This talk introduces ongoing research and development on system software solutions that will underpin FugakuNEXT and beyond.

Bio

Kento Sato is a team principal of High Performance Big Data Research Team in the Center for Computational Science at RIKEN (RIKEN R-CCS). His research area is distributed systems and parallel computing, particularly in High Performance Computing (HPC). Major focuses of his research are artificial intelligence, machine learning and deep learning in HPC, application reproducibility (MPI reproducibility, and Validation), scalable fault tolerance (Scalable checkpoint/restart, Fault
tolerant MPI, Resilient system design), and I/O optimization (NVRAM, Burst buffer, and Big data), co-designing and cloud computing. He received his Ph.D. in the Dept. of Mathematical & Computing Sciences at Tokyo Tech in 2014, his M.S. in the Dept. of Mathematical & Computing Sciences at Tokyo Tech in 2010, and his B.S. in the Dept. of Information Science at Tokyo Tech in 2008.

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