PROJECTS
Legacy
Data-Intensive Computing Solutions
New platforms are improving big data computing on Livermore’s high performance computers.
Topological Analysis
LLNL and University of Utah researchers have developed an advanced, intuitive method for analyzing and visualizing complex data sets.
Legacy
HZIP
hzip 1.0.1 is a C++ library for lossless compression of structured and unstructured meshes composed of cells with hypercube topology.
NEWS
Conference paper illuminates neural image compression
New research reveals subtleties in the performance of neural image compression methods, offering insights toward improving these models for real-world applications.
Record-setting SC23 builds mile-high momentum for exascale computing, AI, and the future of HPC
A record number of attendees—more than 14,000—experts, researchers, vendors and enthusiasts in the field of HPC descended on the Mile High City for the 2023 International Conference for High Performance Computing, Networking, Storage and Analysis, colloquially known as SC23.
For better CT images, new deep learning tool helps fill in the blanks
LLNL researchers collaborated with Washington University in St. Louis to devise a state-of-the-art ML–based reconstruction tool for when high-quality computed tomography data is in low supply.