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LLNL and SambaNova Systems announce additional AI hardware to support Lab’s cognitive simulation efforts
May 23, 2023 -
LLNL and SambaNova Systems have announced the addition of a spatial data flow accelerator into the Livermore Computing Center, part of an effort to upgrade the Lab’s CogSim program. LLNL will integrate the new hardware to further investigate CogSim approaches combining AI with high-performance computing—and how deep neural network hardware architectures can accelerate traditional physics...
Celebrating the DSI’s first five years
May 18, 2023 -
View the LLNL Flickr album Data Science Institute Turns Five.
Data science—a field combining technical disciplines such as computer science, statistics, mathematics, software development, domain science, and more—has become a crucial part of how LLNL carries out its mission. Since the DSI’s founding in 2018, the Lab has seen tremendous growth in its data science community and has invested...
Patent applies machine learning to industrial control systems
May 8, 2023 -
An industrial control system (ICS) is an automated network of devices that make up a complex industrial process. For example, a large-scale electrical grid may contain thousands of instruments, sensors, and controls that transfer and distribute power, along with computing systems that capture data transmitted across these devices. Monitoring the ICS network for new device connections, device...
Scientists develop model for more efficient simulations of protein interactions linked to cancer
March 28, 2023 -
LLNL scientists have developed a theoretical model for more efficient molecular-level simulations of cell membranes and their lipid-protein interactions, part of a multi-institutional effort to better understand the behavior of cancer-causing membrane proteins. Developed under an ongoing collaboration by the Department of Energy and the National Cancer Institute (NCI) aimed at modeling cell...
From plasma to digital twins
March 13, 2023 -
LLNL's Nondestructive Evaluation (NDE) group has an array of techniques at its disposal for inspecting objects’ interiors without disturbing them: computed tomography, optical laser interferometry, and ultrasound, for example, can be used alone or in combination to gauge whether a component’s physical and material properties fall within allowed tolerances. In one project, the team of NDE...
Skywing: Open-source software aids collaborative autonomy applications
Jan. 25, 2023 -
A new software developed at LLNL, and known as Skywing, provides domain scientists working to protect the nation’s critical infrastructure with a high-reliability, real-time software platform for collaborative autonomy applications. The U.S. modern critical infrastructure—from the electrical grid that sends power to homes to the pipelines that deliver water and natural gas and the railways...
New HPC4EI project to create 'digital twin' models for aerospace manufacturing
Jan. 19, 2023 -
A partnership involving LLNL aimed at developing “digital twins” for producing aerospace components is one of six new projects funded under the HPC for Energy Innovation (HPC4EI) initiative, the Department of Energy’s Office of Energy Efficiency and Renewable Energy announced. Sponsored by the HPC4Manufacturing (HPC4Mfg) Program, one of the pillars of HPC4EI, the collaboration between LLNL...
LLNL, University of California initiative fosters academic partnership
Jan. 19, 2023 -
A new joint initiative between the LLNL Weapons and Complex Integration (WCI) Directorate and the University of California (UC) is aimed at developing next generation academic leadership with strong and enduring national laboratory connections. The LLNL Early Career UC Faculty Initiative is accepting proposals from untenured, tenure-track faculty at one of 10 UC campuses, soliciting...
Supercomputing’s critical role in the fusion ignition breakthrough
Dec. 21, 2022 -
On December 5th, the research team at LLNL's National Ignition Facility (NIF) achieved a historic win in energy science: for the first time ever, more energy was produced by an artificial fusion reaction than was consumed—3.15 megajoules produced versus 2.05 megajoules in laser energy to cause the reaction. High-performance computing was key to this breakthrough (called ignition), and HPCwire...
LLNL staff returns to Texas-sized Supercomputing Conference
Nov. 23, 2022 -
The 2022 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22) returned to Dallas as a large contingent of LLNL staff participated in sessions, panels, paper presentations, and workshops centered around HPC. The world’s largest conference of its kind celebrated its highest in-person attendance since the start of the COVID-19 pandemic, with about 11...
LLNL researchers win HPCwire award for applying cognitive simulation to ICF
Nov. 17, 2022 -
The high performance computing publication HPCwire announced LLNL as the winner of its Editor’s Choice award for Best Use of HPC in Energy for applying cognitive simulation (CogSim) methods to inertial confinement fusion (ICF) research. The award was presented at the largest supercomputing conference in the world: the 2022 International Conference for High Performance Computing, Networking...
Papers win Test of Time awards at 2022 IEEE VIS conference
Oct. 31, 2022 -
Two LLNL-led teams received SciVis Test of Time awards at the 2022 IEEE VIS conference on Oct. 18, for papers that have achieved lasting relevancy in the field of scientific visualization. Published in 2008, an LLNL-led paper that—for the first time—allowed Digital Morse Theory to be applied to large scale and three-dimensional data, won the 14-year Test of Time award for making a lasting...
Project co-led at LLNL looks to improve visualization of largescale datasets
Oct. 27, 2022 -
LLNL researchers are starting work on a three-year project aimed at improving methods for visual analysis of large heterogeneous data sets as part of a recent Department of Energy funding opportunity. The joint project, entitled “Neural Field Processing for Visual Analysis,” will be led at LLNL by co-principal investigator (PI) Andrew Gillette. Gillette is joined by lead PI Matthew Berger at...
ESGF launches effort to upgrade climate projection data system
Oct. 5, 2022 -
The Earth System Grid Federation (ESGF), a multi-agency initiative that gathers and distributes data for top-tier projections of the Earth’s climate, is preparing a series of upgrades that will make using the data easier and faster while improving how the information is curated. The federation, led by the Department of Energy’s Oak Ridge National Laboratory in collaboration with Argonne and...
LLNL to cooperate with University of Utah's one oneAPI Center of Excellence
Sept. 21, 2022 -
The University of Utah has announced the creation of a new oneAPI Center of Excellence focused on developing portable, scalable and performant data compression techniques. The oneAPI Center will be headed out of the University of Utah’s Center for Extreme Data Management Analysis and Visualization (CEDMAV) and will involve the cooperation of LLNL’s Center for Applied Scientific Computing. It...
LLNL team claims top AI award at international symbolic regression competition
Aug. 16, 2022 -
An LLNL team claimed a top prize at an inaugural international symbolic regression competition for an artificial intelligence (AI) framework they developed capable of explaining and interpreting real-life COVID-19 data. Hosted by the open source SRBench project at the 2022 Genetic and Evolutionary Computation Conference (GECCO), the competition had two tracks—synthetic and real-world—and...
Lab researchers win top award for machine learning-based approach to ICF experiments
Aug. 4, 2022 -
The IEEE Nuclear and Plasma Sciences Society (NPSS) announced an LLNL team as the winner of its 2022 Transactions on Plasma Science Best Paper Award for their work applying machine learning to inertial confinement fusion (ICF) experiments. In the paper, lead author Kelli Humbird and co-authors propose a novel technique for calibrating ICF experiments by combining machine learning with...
An open-source, data-science toolkit for energy: GridDS
Aug. 2, 2022 -
As the number of smart meters and the demand for energy is expected to increase by 50% by 2050, so will the amount of data those smart meters produce. While energy standards have enabled large-scale data collection and storage, maximizing this data to mitigate costs and consumer demand has been an ongoing focus of energy research. An LLNL team has developed GridDS—an open-source, data-science...
Defending U.S. critical infrastructure from nation-state cyberattacks
July 21, 2022 -
For many years, LLNL has been conducting research on cybersecurity, as well as defending its systems and networks from cyberattacks. The Lab has developed an array of capabilities to detect and defend against cyberintruders targeting IT networks and worked with government agencies and private-sector partners to share its cybersecurity knowledge to the wider cyberdefense community. LLNL has...
LLNL cancer research goes exascale
July 20, 2022 -
An LLNL team will be among the first researchers to perform work on the world’s first exascale supercomputer—Oak Ridge National Laboratory’s Frontier—when they use the system to model cancer-causing protein mutations. Led by Harsh Bhatia, a computer scientist in the Center of Applied Computing at LLNL, the team was awarded limited access to Frontier under the DOE's Advanced Scientific...