Dr. Kento Sato and team members
Dr. Kento Sato (currently of RIKEN R-CCS) and 16 others at the Lawrence Livermore National Laboratory (LLNL) and Argonne National Laboratory (ANL), United States, have won a 2019 R&D 100 Award for their work entitled “SCR Framework: Accelerating Resilience and I/O for Supercomputing Applications.”
The R&D 100 Awards, presented each year by R&D Magazine, honor the 100 most significant technological advances of the year.
The Scalable Checkpoint/Restart Framework 2.0 (SCR) enables high performance computing simulations to take advantage of hierarchical storage systems, without complex code modifications. With SCR, scientific simulations’ input/output performance can be improved by orders of magnitude, with their results produced in significantly less time than they could be with traditional methods.
(from left) Drs. Kento Sato, Kathryn Mohror, and Adam Moody
Dr. Sato says, “I am so honored to be part of the team. Right now, our High Performance Big Data Research Team is collaborating with the LLNL/ANL on improving Checkpoint/Restart configuration using artificial intelligence. I believe this award will be a great momentum for the next achievement.”