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PROJECTS
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SLOPE-Grid

A sophisticated, cost-effective framework combines HPC, ML models, and mathematical algorithms to optimize power grid stability and security.

Monomer flow chart

ElMerFold

Building on our leadership in HPC and AI and our long open-source tradition, ElMerFold is a high performance framework for large-scale inference and distillation on LLNL supercomputers with OpenFold-…

Cerebras in Lassen

Innovative HPC Architectures

Increased resource utilization is one goal of new architectures. At Livermore Computing, these include AI accelerators such as Samba Nova and Cerebras systems and El Capitan's Rabbits.

PEOPLE
Andrew Gillette

Andrew Gillette

CASC computational mathematician Andrew Gillette has always been drawn to mathematics and says it’s about more than just crunching numbers.

Angeline on a coastal Maine trail

Angeline Lee

Angeline Lee simultaneously serves as a group leader, contributes to programmatic projects, and studies for her bachelor’s degree.

Kevin McLoughlin

Kevin McLoughlin

Kevin McLoughlin has always been fascinated by the intersection of computing and biology. His LLNL career encompasses award-winning microbial detection technology, a COVID-19 antiviral drug design…

NEWS
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ISC26 event calendar

LLNL participates in the ISC High Performance Conference (ISC26) on June 22–26.

3x8 grid of various images bordered in red, yellow, or green, and labeled according to neuron concept vs. UnCLIP steered output, and discarded SAE vs. retained SAE vs. CB neurons

Best of both worlds: combining techniques for model interpretability and control

New CASC research puts sparse autoencoders and concept bottlenecks to work on foundation models.

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CVPR 2026 acceptances

LLNL researchers have posters and workshop papers accepted to the IEEE/CVF Conference on Computer Vision and Pattern Recognition on June 3–7.