![TFinity Archival Storage System](/sites/default/files/styles/front_page_card/public/2021-02/TFinity-card-LLNL.png?itok=wFVqmfpW)
HPSS
Livermore’s archive leverages a hierarchical storage management application that runs on a cluster architecture that is user-friendly, extremely scalable, and lightning fast.
![colorful lines of code filling a computer screen](/sites/default/files/styles/front_page_card/public/2022-03/ATS%20comp%20project%20card.png?itok=j-kwPg3S)
Automated Testing System
LLNL’s Python 3–based ATS tool provides scientific code teams with automated regression testing across HPC architectures.
![radiuss logo](/sites/default/files/styles/front_page_card/public/radiuss-llnl-project-card.png?itok=LbfXl-MY)
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.
![Vanessa running through snow with her back to the camera](/sites/default/files/styles/front_page_card/public/2021-05/Vanessa%20Sochat%20Comp%20leaderboard.png?itok=uy7LURY9)
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 in front of a leafy tree](/sites/default/files/styles/front_page_card/public/2021-04/brink-stephanie-LLNL.png?itok=ziqHKl5l)
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…
![Remesh in front of Sierra](/sites/default/files/styles/front_page_card/public/ramesh-pankajakshan-LLNL.png?itok=apKC4qYn)
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…
![antibody and supercomputer on a laptop screen with the Nature cover image on the desktop](/sites/default/files/styles/front_page_card/public/2024-05/guide-nature-comp-news.png?itok=L83Rzi9C)
GUIDE team develops approach to redesign antibodies against viral pandemics
In a groundbreaking development for addressing future viral pandemics, a multi-institutional team involving LLNL researchers has successfully combined an AI-backed platform with supercomputing to redesign and restore the effectiveness of antibodies whose ability to fight viruses has been compromi
![RZHound supercomputer overlaid with LLNL logo and ISC High Performance "reinventing HPC" logo](/sites/default/files/styles/front_page_card/public/2024-04/ISC24-RZHound-web-leaderboard.png?itok=7CcPfx85)