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.