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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
Breaking the ICE: ICECap looks to use exascale fusion simulations to pioneer digital design
A groundbreaking multidisciplinary team is combining the power of exascale computing with AI, advanced workflows, and GPU acceleration to advance scientific innovation and revolutionize digital design.
Video: Update on the El Capitan supercomputer
Learn about the game-changing potential of El Capitan and discover how it will not only transform HPC and AI but also revolutionize scientific research across multiple domains.
Measuring failure risk and resiliency in AI/ML models
A CASC researcher and collaborators study model failure and resilience in a paper accepted to the 2024 International Conference on Machine Learning.