Contributor

Kento Sato is the team principal of High Performance Big Data Research Team at RIKEN Center for Computational Science. His research area is distributed systems and parallel computing, particularly in High Performance Computing (HPC). Major focuses of his research are
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.