
RADIUSS
The RADIUSS project aims to lower cost and improve agility by encouraging adoption of our core open-source software products for use in institutional applications.

COVID-19 R&D
From molecular screening, a software platform, and an online data to the computing systems that power these projects.

Innovative HPC Architectures
LC sited two different AI accelerators in 2020: the Cerebras wafer-scale AI engine attached to Lassen; and an AI accelerator from SambaNova Systems into the Corona cluster.

Ramesh Pankajakshan
Computational Scientist Ramesh Pankajakshan came to LLNL in 2016 directly from the University of Tennessee at Chattanooga. But unlike most recent hires from universities, he switched from research…

Greg Becker
Computer scientist Greg Becker contributes to HPC research and development projects for LLNL’s Livermore Computing division.

Elsa Gonsiorowski
“If applications don’t read and write files in an efficient manner,” system software developer Elsa Gonsiorowski warns, “entire systems can crash.”

Best paper winner improves scientific workflow performance
The IEEE international eScience conference, which emphasizes compute- and data-intensive research methods, bestowed the 2022 Best Paper Award on a multidisciplinary team that includes LLNL staff.

LLNL staff returns to Texas-sized Supercomputing Conference
The 2022 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22) returned to Dallas as a large contingent of LLNL staff participated in sessions, panels, paper presentations and workshops centered around HPC.