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PROJECTS
Flowchart shows how AMS workflow splits each step into physics code and machine learning models before outputting data

Autonomous MultiScale

AMS is a machine learning solution embedded into scientific applications to automatically replace fine-scale simulations with ancillary models.

Quandary logo

Quandary

Quandary is an open-source C++ package for optimal control of quantum systems on classical high performance computing platforms.

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Backlighter Tech

The latest generation of a laser beam–delay technique owes its success to collaboration, dedication, and innovation.

PEOPLE
Jarom Nelson in biblical costume

Jarom Nelson

As group leader and application developer in the Global Security Computing Applications Division, Jarom Nelson develops intrusion detection and access control software.

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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

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…

NEWS
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Distinguished paper offers unique solution for GPU offloading

Research recognized at the HiPC IEEE conference proposes using an optimized version of OpenMP for vendor-agnostic GPU performance, portability, and scalability.

looking between rows of a supercomputer’s racks, superimposed with various images of data analysis graphs and plots

Enhancing the software ecosystem with LLMs

Over the next three years, CASC researchers and collaborators will integrate LLMs into HPC software to boost performance and sustainability.

cover of S&TR featuring El Capitan alongside interior pages

S&TR cover story: Introducing El Capitan

The latest issue of LLNL's magazine explains how the world’s most powerful supercomputer helps scientists safeguard the U.S. nuclear stockpile.