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.
News
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.
SENSEI Showcased at SC18
Berkeley Lab scientists at SC18 are showcasing SENSEI, a lightweight software infrastructure that enables simulations to make use of a wide array of popular in situ analysis and visualization packages.