COVID-19 R&D
From molecular screening, a software platform, and an online data to the computing systems that power these projects.
Deterrence in Cyberspace
LLNL’s cyber programs work across a broad sponsor space to develop technologies addressing sophisticated cyber threats directed at national security and civilian critical infrastructure.
Innovative HPC Architectures
LC sited two different AI accelerators in 2020: the Cerebras wafer-scale AI engine attached to Lassen; and an AI accelerator from SambaNova Systems into the Corona cluster.
Stefanie Guenther
Lawrence Livermore National Lab has named Stefanie Guenther as Computing’s fourth Sidney Fernbach Postdoctoral Fellow in the Computing Sciences. This highly competitive fellowship is named after…
Rafael Rivera-Soto
Rafael Rivera-Soto is passionate about artificial intelligence, deep learning, and machine learning technologies. He works in LLNL’s Global Security Computing Applications Division, also known as…
Jayaraman Thiagarajan
With nearly 100 publications, CASC researcher Jayaraman “Jay” Thiagarajan explores the possibilities of artificial intelligence and machine learning technologies.
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, machine learning ML–based reconstruction tool for when high-quality computed tomography data is in low supply.
Data Days brings DOE labs together for discussions on data management and more
Data researchers, developers, data managers, and program managers from national laboratories visited LLNL to discuss the latest in data management, sharing, and accessibility at the 2023 DOE Data Days (D3) workshop.