With pictures to prove it, Lawrence Livermore National Laboratory announced today it has begun receiving and installing components for El Capitan, what is expected to be the third exascale-class supercomputer in the U.S. The laboratory shared photos on social media today. Projected to exceed 2 exaflops, El Capitan will likely be the most powerful supercomputer […]
A-Alpha Bio and Livermore Lab Expand ML Collaboration on Antibody Discovery and Biothreats
SEATTLE, May 16, 2023 — A-Alpha Bio, a synthetic biology and machine learning company that measures and engineers protein-protein interactions, and Lawrence Livermore National Laboratory (LLNL) today announced a collaboration to combat multiple pathogen families of concern. To enable this work, A-Alpha Bio has been awarded an additional $2.4 million sub-contract from the Joint Program Executive […]
Sandia, Los Alamos, Livermore, NNSA and AMD Collaborate on Stockpile Mission
ALBUQUERQUE, N.M. — Sandia National Laboratories, in partnership with Los Alamos and Lawrence Livermore national labs, has awarded a contract to AMD that funds research and development of advanced memory technologies expected to accelerate high-performance simulation and computing applications in support of the nation’s stockpile stewardship mission. The National Nuclear Security Administration’s Advanced Simulation and Computing […]
LLNL and Korea Institute of Science and Technology to collaborate
Livermore, CA — Leaders at Lawrence Livermore National Laboratory (LLNL) and the Korea Institute of Science and Technology (KIST) have signed a memorandum of understanding (MOU) to collaborate on basic science and technology in the renewable energy, climate science, data science and characterizations arenas. Under the MOU, KIST will have office space in the Livermore […]
LLNL and Amazon Web Services Team on Standardized HPC Software Stack
Lawrence Livermore National Laboratory (LLNL) and Amazon Web Services (AWS) have signed a memorandum of understanding to define the role of leadership-class high performance computing (HPC) “in a future where cloud HPC is ubiquitous,” the two organizations said. LLNL and AWS said they will explore software and hardware solutions spanning cloud and on-premises HPC environments, with the […]
LLNL Entrepreneur Hall of Fame Inducts 1 Current, 2 Former Lab Scientists
One current and two former Lawrence Livermore National Laboratory (LLNL) scientists have been inducted into the Laboratory’s Entrepreneurs’ Hall of Fame (EHF). The trio, who represent the third class of inductees into the Lab’s EHF, have been honored for developing technologies during or after their lab careers that created major economic impacts or spawned new […]
LLNL Scientists Use Sierra Supercomputer to Develop Cancer Model
Jan. 10, 2022 — Lawrence Livermore National Laboratory researchers and a multi-institutional team of scientists have developed a highly detailed, machine learning-backed multiscale model revealing the importance of lipids to the signaling dynamics of RAS, a family of proteins whose mutations are linked to numerous cancers. The team simulated a one micron-by-one micron patch on […]
LLNL Researchers Garner 3 Awards Among Top 100 Industrial Inventions
October 29, 2021 — Lawrence Livermore National Laboratory (LLNL) scientists and engineers have collected three awards among the top 100 industrial inventions worldwide. The trade journal R&D World Magazine announced the winners of the awards, often called the “Oscars of invention,” during a three-day virtual ceremony – Oct. 19-21 – and on the magazine’s website. With this […]
LLNL Joins Human Vaccines Project
Oct. 21, 2021 — Lawrence Livermore National Laboratory (LLNL) has joined the international Human Vaccines Project (HVP), bringing lab research and computing resources to the consortium to aid development of a universal coronavirus vaccine and improve understanding of immune response. The HVP is a nonprofit, public-private partnership with a mission to decode the human immune system […]
LLNL Reports on Inaugural ML for Industry Forum
LLNL held its first-ever Machine Learning for Industry Forum (ML4I) on Aug. 10-12. Co-hosted by the Lab’s High Performance Computing Innovation Center (HPCIC) and Data Science Institute (DSI), the virtual event brought together more than 500 participants from the Department of Energy (DOE) complex, commercial companies, professional societies and academia. Industry sponsors included ArcelorMittal, Cerebras Systems, Ford Motor Company, […]