LLNL papers accepted into prestigious conference

July 9, 2020- 
Two papers featuring Lawrence Livermore National Laboratory (LLNL) scientists were accepted in the 2020 International Conference on Machine Learning (ICML), one of the world’s premier conferences of its kind. The first, authored by three LLNL researchers, describes a new “mix-n-match” method for calibrating uncertainty of deep learning models. Uncertainty qualification is an important...

Lockdown doesn’t hinder annual Data Science Challenge

June 26, 2020- 
The COVID-19 pandemic and its subsequent restrictions on gatherings and travel have forced institutions and companies around the world to rethink how they offer their summer programs and internships, and Lawrence Livermore National Laboratory (LLNL) is no exception. This year’s Data Science Challenge with the University of California, Merced, the second such event of its kind, was an all...

Manufacturing, energy initiative to fund 11 new projects

June 22, 2020- 
The U.S. Department of Energy (DOE) today announced the recipients of the fall 2019 awards for the High Performance Computing for Energy Innovation (HPC4EI) initiative, including four newly funded projects led out of Lawrence Livermore National Laboratory.  The 11 projects selected for a total of $3.3 million in funding under the High Performance Computing for Manufacturing (HPC4Mfg) and...

Lab breaks ground for exascale facility upgrades

June 22, 2020- 
To meet the needs of tomorrow’s supercomputers, the National Nuclear Security Administration’s (NNSA’s) Lawrence Livermore National Laboratory (LLNL) has broken ground on its Exascale Computing Facility Modernization (ECFM) project, which will substantially upgrade the mechanical and electrical capabilities of the Livermore Computing Center. The upgrades will enable the facility to provide...

Deep learning-based surrogate models outperform simulators and could hasten scientific discoveries

June 17, 2020- 
Surrogate models supported by neural networks can perform as well, and in some ways better, than computationally expensive simulators and could lead to new insights in complicated physics problems such as inertial confinement fusion (ICF), Lawrence Livermore National Laboratory (LLNL) scientists reported. In a paper published by the Proceedings of the National Academy of Sciences (PNAS)...

Lab team studies calibrated AI and deep learning models to more reliably diagnose and treat disease

May 29, 2020- 
As artificial intelligence (AI) becomes increasingly used for critical applications such as diagnosing and treating diseases, predictions and results regarding medical care that practitioners and patients can trust will require more reliable deep learning models. In a recent preprint (available through Cornell University’s open access website arXiv), a team led by a Lawrence Livermore...

COVID-19 research goes public through new portal

May 18, 2020- 
To help accelerate discovery of therapeutic antibodies or antiviral drugs for SARS-CoV-2, the virus that causes COVID-19, Lawrence Livermore National Laboratory (LLNL) has launched a searchable data portal to share its COVID-19 research with scientists worldwide and the general public. The portal houses a wealth of data LLNL scientists have gathered from their ongoing COVID-19 molecular...

Spring 2020 solicitation for HPC4EI Program now open

May 5, 2020- 
The U.S. Department of Energy (DOE) and Lawrence Livermore National Laboratory (LLNL) today issued the spring 2020 solicitation for the High Performance Computing for Energy Innovation (HPC4EI) Program, aimed at improving manufacturing processes and energy efficiency through supercomputing. Managed by LLNL, the HPC4EI Program provides industry with HPC expertise and resources from DOE...

LLNL’s new machine learning platform generates novel COVID-19 antibody sequences for experimental testing

May 1, 2020- 
Lawrence Livermore National Laboratory (LLNL) researchers have identified an initial set of therapeutic antibody sequences, designed in a few weeks using machine learning and supercomputing, aimed at binding and neutralizing SARS-CoV-2, the virus that causes COVID-19. The research team is performing experimental testing on the chosen antibody designs. Currently, treating COVID-19 with...

Upgrades for LLNL supercomputer from AMD, Penguin Computing aid COVID-19 research

April 21, 2020- 
As the COVID-19 pandemic continues to impact millions of people worldwide, Lawrence Livermore National Laboratory (LLNL) and its industry partners are committed to applying the nation’s most powerful supercomputers and expertise in computational modeling and data science to battling the deadly disease. To assist in this effort, the Laboratory, Penguin Computing and AMD have reached an...

Lab antibody, anti-viral research aids COVID-19 response

March 26, 2020- 
Lawrence Livermore National Laboratory (LLNL) scientists are contributing to the global fight against COVID-19 by combining artificial intelligence/machine learning, bioinformatics and supercomputing to help discover candidates for new antibodies and pharmaceutical drugs to combat the disease. See the visualization Backed by five high performance computing (HPC) clusters and years of...

New partnership to unleash U.S. supercomputing resources in the fight against COVID-19

March 26, 2020- 
The White House announced the launch of the COVID-19 High Performance Computing Consortium to provide COVID-19 researchers worldwide with access to the world’s most powerful high performance computing resources that can significantly advance the pace of scientific discovery in the fight to stop the virus. “America is coming together to fight COVID-19 and that means unleashing the full...

LLNL and HPE to partner with AMD on El Capitan, projected as world’s fastest supercomputer

March 5, 2020- 
Lawrence Livermore National Laboratory (LLNL), Hewlett Packard Enterprise (HPE) and Advanced Micro Devices Inc. (AMD) today announced the selection of AMD as the node supplier for El Capitan, projected to be the world’s most powerful supercomputer when it is fully deployed in 2023. With its advanced computing and graphics processing units (CPUs/GPUs), El Capitan’s peak performance is...

Lab team sizzles at DOE Grid Optimization Competition

Feb. 27, 2020- 
A team of computer scientists and mathematicians from Lawrence Livermore National Laboratory (LLNL) bested more than two dozen teams to place first overall in Challenge 1 of the Department of Energy’s (DOE) Grid Optimization (GO) Competition, an ongoing series of contests aimed at developing a more reliable, resilient and secure U.S. electrical grid and solving complex grid problems. Manag...

Deep learning may provide solution for efficient charging, driving of autonomous electric vehicles

Feb. 4, 2020- 
The future of commuter traffic probably looks something like this: ride-hailing companies operating fleets of autonomous electric vehicles alongside an increasing number of semi-autonomous EVs co-piloted by humans, all supported by a large infrastructure of charging stations. This scenario is particularly likely in California, which has committed to reducing carbon emissions to 40 percent...

Media advisory: LLNL, NNSA to dedicate new Advanced Manufacturing Laboratory

Jan. 14, 2020- 
WHO: Leaders from Lawrence Livermore National Laboratory (LLNL) and the National Nuclear Security Administration (NNSA), industry partner representatives and Laboratory experts in advanced manufacturing and 3D printing. WHAT: Lawrence Livermore National Laboratory will host a dedication ceremony and media tour of the Advanced Manufacturing Laboratory (AML), a state-of-the-art collaborative...

LLNL’s presence in HPC shines bright at SC19

Dec. 4, 2019- 
The 2019 International Conference for High Performance Computing, Networking, Storage, and Analysis— better known simply as SC19 — returned to Denver, and once again Lawrence Livermore National Laboratory (LLNL) made its presence known as a force in supercomputing. The conference, attended by nearly 14,000 people representing 118 countries, kicked off with all-day tutorials and workshops...

LLNL-led team awarded Best Paper at SC19 for modeling cancer-causing protein interactions

Nov. 22, 2019- 
A panel of judges at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19) on Thursday awarded a multi-institutional team led by Lawrence Livermore National Laboratory computer scientists with the conference’s Best Paper award. The paper, entitled “Massively Parallel Infrastructure for Adaptive Multiscale Simulations: Modeling RAS Initiation...

LLNL wins 2019 HPCwire Readers’ and Editors’ Choice Awards for El Capitan

Nov. 20, 2019- 
Lawrence Livermore National Laboratory (LLNL), along with the Oak Ridge and Argonne national laboratories and Cray Inc., garnered HPCwire Readers’ and Editors’ Choice Awards for Top Supercomputing Achievement for 2019. The awards recognize the announcements earlier this year of the Department of Energy’s first three exascale-class machines: Aurora, Frontier and El Capitan. All three...

Upgrades coming to LLNL’s Corona computing cluster

Nov. 19, 2019- 
Lawrence Livermore National Laboratory (LLNL) is collaborating with Penguin Computing Inc. and graphics card manufacturer AMD to upgrade its unclassified computing cluster Corona to roughly double the amount of graphics processors (GPUs) the system previously had. The upgrade will provide significantly greater performance and bring additional capabilities in artificial intelligence and...