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
Machine Learning
LLNL computer scientists use machine learning to model and characterize the performance and ultimately accelerate the development of adaptive applications.
CT Image Enhancement
Researchers are developing enhanced computed tomography image processing methods for explosives identification and other national security applications.
NEWS
Video: Igniting scientific discovery with AI and supercomputing
LLNL’s fusion ignition breakthrough, more than 60 years in the making, was enabled by a combination of traditional fusion target design methods, HPC, and AI techniques.
WiDS Livermore conference attendees network, share research and absorb wisdom
With over 90 people in attendance, including those attending online and in person, the WiDS Livermore conference was once again successful in facilitating the exchange of information and fresh ideas.
Video: Predicting climate change impacts on infrastructure
By taking weather variables such as wildfire, flooding, wind, and sunlight that directly impact the electrical grid into consideration, researchers can improve electrical grid model projections for a more stable future.