Data-Intensive Computing Solutions
New platforms are improving big data computing on Livermore’s high performance computers.
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.
Visionary report unveils ambitious roadmap to harness the power of AI in scientific discovery
The report lays out a comprehensive vision for the DOE Office of Science and NNSA to expand their work in scientific use of AI by building on existing strengths in world-leading high performance computing systems and data infrastructure.
Video: Data compression for modern supercomputing applications
Unique among data compressors, zfp is designed to be a compact number format for storing data arrays in-memory in compressed form while still supporting high-speed random access.
LLNL and SambaNova Systems announce additional AI hardware to support Lab’s cognitive simulation efforts
The addition of the spatial data flow accelerator into LLNL’s Livermore Computing Center is part of an effort to upgrade the Lab’s cognitive simulation (CogSim) program.