Berkeley Lab’s team of ExaStar researchers is focused on simulating explosive astrophysical events to address fundamental questions in nuclear astrophysics.
Exascale Computing Project Spotlights ExaGraph and STRUMPACK/SuperLU Collaboration
One recent example of fruitful collaboration within ECP is the teamwork between the Sparse Solvers Software Technology project and the ExaGraph Co-Design Center. Results of the effort showed that the parallel AWPM (approximate-weight perfect matching) code can run up to 2,500x faster than the sequential algorithm on 256 nodes of the Cori/KNL supercomputer. This project highlight is based on an interview with members of the Sparse Solvers and ExaGraph Co-Design Center teams.
New ECP Co-Design Center to Focus on Exascale Machine Learning
The Exascale Computing Project (ECP) today announced ExaLearn, a new ECP co-design center focusing on exascale machine-learning technologies. The goal of the project is to provide exascale machine-learning software for use by ECP applications projects, other ECP co-design centers and U.S. Department of Energy (DOE) experimental facilities and computing facilities.