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PROJECTS
Legacy
Sapphire
Drawing from data mining, image and video processing, statistics, and pattern recognition, these computational tools improve the way scientists extract useful information from data.
Legacy
LOCAL
This project's techniques reduce bandwidth requirements for large unstructured data by making use of data compression and optimizing the layout of the data for better locality and cache reuse.
Legacy
Machine Learning
LLNL computer scientists use machine learning to model and characterize the performance and ultimately accelerate the development of adaptive applications.
NEWS
CASC Newsletter | Vol 15 | March 2025
Highlights include ML techniques for computed tomography, a scalable Gaussian process framework, safe and trustworthy AI, and autonomous multiscale simulations.
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.
High-performance computing at a crossroads
LLNL's Bruce Hendrickson joins other HPC luminaries in this op-ed about the future of the field.