Automated Testing System
LLNL’s Python 3–based ATS tool provides scientific code teams with automated regression testing across HPC architectures.
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.
Vanessa Sochat
Computer scientist Vanessa Sochat isn’t afraid to meet new experiences head on. With a Stanford PhD and a jump-right-in attitude, she joined LLNL to work on the BUILD project, Spack package…
Stephanie Brink
Computing relies on engineers like Stephanie Brink to keep the legacy codes running smoothly. “You’re only as fast as your slowest processor or your slowest function,” says Brink, who works in…
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…
Road to El Capitan 9: Messaging and math
The advent of accelerated processing units presents new challenges and opportunities for teams responsible for network interconnects and math libraries.
Todd Gamblin named to HPCwire’s 'People to Watch' list for 2024
The high performance computing publication HPCwire has selected LLNL computer scientist Todd Gamblin as one of its “People to Watch” in HPC for 2024. The program recognized 12 HPC professionals who “play leading roles in driving innovation within their particular fields, making significant contributions to society as a whole.”
LLNL set to deploy world’s fastest supercomputer this year
The system will enable researchers from the National Nuclear Security Administration weapons design laboratories to create models and run simulations, previously considered challenging, time-intensive or impossible, for the maintenance and modernization of the United States’ nuclear weapons stockpile.