Presenter
Kento Sato
Biography
Kento Sato is the team leader 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.
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.
Presentations
Posters
TP
XO/EX
Workshop
Applications and Application Frameworks
Algorithms
Performance Evaluation and/or Optimization Tools
W
Paper
Cloud Computing
Fault-Tolerance, Reliability, Maintainability, and Adaptability
Heterogeneous Computing
Performance Optimization
Resource Management
State of the Practice
TP
Workshop
I/O, Storage, Archive
W
Paper
Accelerators
Energy Efficiency
Facilities
Resource Management
State of the Practice
TP
Best Student Paper Finalist
Posters
TP
XO/EX
Chair of Sessions
Workshop
Data Compression
Data Movement and Memory
Middleware and System Software
W