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PROJECTS
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
Data-Intensive Computing Solutions
New platforms are improving big data computing on Livermore’s high performance computers.
Legacy
Machine Learning
LLNL computer scientists use machine learning to model and characterize the performance and ultimately accelerate the development of adaptive applications.
NEWS
Podcast: AI and drug discovery
The latest episode of the Big Ideas Lab podcast investigates the use of artificial intelligence for drug discovery and other uses.
Vanguards of HPC-AI: Spack builder Todd Gamblin of LLNL
Todd Gamblin has a well-deserved reputation in the HPC software community as a passionate engineer who enjoys rolling up his sleeves and diving into technical problems. It’s not a stretch to see how he got hooked on HPC.
LLNL Researchers Quantify Metal Strength Uncertainty in High-Explosives Models
The team used a Bayesian approach to quantify metal strength uncertainty with tantalum and two common explosive materials and integrated it into a coupled metal/high-explosive model.