Kento Sato is a team leader 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), codesigning and cloud computing.