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Lab team studies calibrated AI and deep learning models to more reliably diagnose and treat disease
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…
COVID-19 research goes public through new portal
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…
Spring 2020 solicitation for HPC4EI Program now open
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…
LLNL’s new machine learning platform generates novel COVID-19 antibody sequences for experimental testing
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…
Upgrades for LLNL supercomputer from AMD, Penguin Computing aid COVID-19 research
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…
Lab antibody, anti-viral research aids COVID-19 response
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…
New partnership to unleash U.S. supercomputing resources in the fight against COVID-19
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…
LLNL and HPE to partner with AMD on El Capitan, projected as world’s fastest supercomputer
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…
Lab team sizzles at DOE Grid Optimization Competition
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…
Deep learning may provide solution for efficient charging, driving of autonomous electric vehicles
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…
Media advisory: LLNL, NNSA to dedicate new Advanced Manufacturing Laboratory
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…
LLNL’s presence in HPC shines bright at SC19
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…
LLNL-led team awarded Best Paper at SC19 for modeling cancer-causing protein interactions
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…
LLNL wins 2019 HPCwire Readers’ and Editors’ Choice Awards for El Capitan
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…
Upgrades coming to LLNL’s Corona computing cluster
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…
Penguin/Intel 'Magma' computing cluster coming to LLNL
Lawrence Livermore National Laboratory (LLNL) is welcoming the newest addition to its already powerful supercomputing lineup, a commodity cluster system built by Penguin Computing Inc. that will perform vital calculations for the National Nuclear Security Administration (NNSA). Penguin Computing, along with its partners Intel and CoolIT, announced it has shipped LLNL’s…
New TOP500 List unveiled: Sierra stays No. 2 with six other LLNL supercomputers in top 100
The latest TOP500 List of the world's most powerful computers was released today at the 2019 International Supercomputing Conference for High Performance Computing, Networking, Storage and Analysis (SC19) in Denver. Lawrence Livermore National Laboratory’s (LLNL's) IBM/NVIDIA Sierra supercomputer held steady at the No. 2 spot, one of seven Lab systems to crack the top 100,…
LLNL to receive DOE funding for new HPC4EI projects
The U.S. Department of Energy (DOE) today announced the 12 projects awarded funding under the latest solicitation for the High Performance Computing for Energy Innovation Program (HPC4EI), a public/private collaboration that seeks to leverage DOE’s high performance computing facilities at national labs for industry to improve energy efficiency and streamline manufacturing…
Energy Department announces $4 million for High Performance Computing for Energy Innovation
Today, the U.S. Department of Energy (DOE) announced up to $4 million for new projects to support manufacturers in improving energy efficiency, increasing productivity and accelerating manufacturing innovation. The High Performance Computing for Energy Innovation (HPC4EI) Initiative, managed by DOE’s Office of Energy Efficiency and Renewable Energy (EERE), is seeking…
Lab leads effort to model proteins tied to cancer
Computational scientists, biophysicists and statisticians from Lawrence Livermore National Laboratory (LLNL) and Los Alamos National Laboratory (LANL) are leading a massive multi-institutional collaboration that has developed a machine learning-based simulation for next-generation supercomputers capable of modeling protein interactions and mutations that play a role in…
