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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, […]

DOE Funds $13M Project for Adapting Scientific Software for HPC

A project involving researchers at Lawrence Livermore National Laboratory (LLNL) and national lab and academic collaborators has received U.S. Department of Energy (DOE) funding as part of an effort to adapt scientific software for next-generation high-performance computing (HPC) systems. The project is a collaboration among LLNL, the University of Utah (lead investigator Ganesh Gopalakrishnan and Pavel Panchekha), Pacific Northwest National Laboratory […]

Krell Institute Launches ‘Science in Parallel’ Podcast Focusing on Computational Science Innovators

AMES, IOWA – The Krell Institute is launching Science in Parallel, a podcast highlighting people and projects at the interface of science and computing. The first season features scientists who use computers to design alternative energy strategies, zero in on the chemistry of molecular surfaces, build quantum control algorithms and more. Along the way, listeners also will […]