The Proactive Data Containers project team at Berkeley Lab is developing object-oriented I/O services designed to simplify data movement, data management, and data reading services on next-generation HPC architectures.
New NESAP Teams Start Prepping Applications for Next-Generation Perlmutter Architecture
NERSC has announced the latest round of NERSC Exascale Science Application Program (NESAP) teams that will focus on simulation, data analysis, and machine learning applications to prepare workloads for NERSC’s next supercomputer, Perlmutter.
ExaLearn for Surrogates: Making Realistic Simulations on the Cheap
ExaLearn is a new machine learning project supported by DOE’s Exascale Computing Project that is developing new tools to help scientists deal with massive experimental datasets and simulations through the use of machine learning.