The WarpX team has spent the last six years creating a novel, highly parallel, and highly optimized single-source simulation code for modeling plasma-based particle colliders on cutting-edge exascale supercomputers with broad importance for other accelerators and related problems.
SENSEI
Led by Scientific Data Division scientist Gunther Weber, SENSEI is part of the Exascale Computing Project’s Data and Visualization software development kit. SENSEI seamlessly and efficiently enables in situ data processing with a diverse set of languages, tools, and libraries through a simple API, data model, and run-time configuration mechanism.
The SciData Division’s Jean Luca Bez Receives BSSw Honorable Mention
Jean Luca Bez, a postdoctoral scholar in the Scientific Data Management Research (SDMR) group was recognized with an Honorable Mention by the Better Scientific Software (BSSw) Fellowship Program.