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Computing
All ears on the Big Ideas Lab podcast
Lawrence Livermore National Laboratory (LLNL) has big ideas and is showing the world in the Big Ideas Lab weekly podcast that takes listeners behind the fences and into its heart. “This is where big ideas come to life,” said Lab Director Kim Budil. “To do this, we bring together dynamic teams of many different disciplines — laser physicists and materials scientists and…
Evaluating trust and safety of large language models
Amid the skyrocketing popularity of large language models (LLMs), researchers at Lawrence Livermore National Laboratory are taking a closer look at how these artificial intelligence (AI) systems perform under measurable scrutiny. LLMs are generative AI tools trained on massive amounts of data in order to produce a text-based response to a query. This technology has the…
LLNL, DOD, NNSA dedicate Rapid Response Laboratory and supercomputing system to accelerate biodefense
Lawrence Livermore National Laboratory (LLNL) recently welcomed officials from the Department of Defense (DOD) and National Nuclear Security Administration (NNSA) to dedicate a new supercomputing system and Rapid Response Laboratory (RRL). DOD is working with NNSA to significantly increase the computing capability available to the national biodefense programs. The…
Signal and image science community comes together for annual workshop
Nearly 150 members of the signal and image science community recently came together to discuss the latest advances in the field and connect with colleagues, friends and potential collaborators at the 28th annual Center for Advanced Image and Signal Science (CASIS) workshop. Held at the University of California Livermore Collaboration Center (UCLCC) for the first time, the…
LLNL and BridgeBio announce trials for supercomputing-discovered cancer drug
In a substantial milestone for supercomputing-aided drug design, Lawrence Livermore National Laboratory (LLNL) and BridgeBio Oncology Therapeutics (BridgeBio) today announced clinical trials have begun for a first-in-class medication that targets specific genetic mutations implicated in many types of cancer. The development of the new drug — BBO-8520 — is the result of…
DOE, LLNL take center stage at inaugural artificial-intelligence expo
Lawrence Livermore National Laboratory (LLNL) Director Kim Budil and other LLNL staff joined Department of Energy (DOE) Deputy Secretary David Turk, National Nuclear Security Administration (NNSA) Administrator Jill Hruby, DOE Under Secretary for Science and Innovation Geraldine Richmond, DOE Director of the Office of Critical and Emerging Technologies Helena Fu, U.S…
Machine learning optimizes high-power laser experiments
Commercial fusion energy plants and advanced compact radiation sources may rely on high-intensity high-repetition rate lasers, capable of firing multiple times per second, but humans could be a limiting factor in reacting to changes at these shot rates. Applying advanced computing to this problem, a team of international scientists from Lawrence Livermore National…
Manufacturing optimized designs for high explosives
When materials are subjected to extreme environments, they face the risk of mixing together. This mixing may result in hydrodynamic instabilities, yielding undesirable side effects. Such instabilities present a grand challenge across multiple disciplines, especially in astrophysics, combustion and shaped charges — a device used to focus the energy of a detonating explosive…
LLNL’s El Capitan debuted on new Top500 list of world’s most powerful supercomputers
Three new systems currently or soon-to-be sited at Lawrence Livermore National Laboratory (LLNL) on Monday debuted on the latest Top500 list of most powerful supercomputers in the world, including the first portion of the exascale machine El Capitan. Unveiled at the International Supercomputing Conference in Hamburg, Germany, the June 2024 Top500 lists three systems with…
GUIDE team develops approach to redesign antibodies against viral pandemics
In a groundbreaking development for addressing future viral pandemics, a multi-institutional team involving Lawrence Livermore National Laboratory (LLNL) researchers has successfully combined an artificial intelligence (AI)-backed platform with supercomputing to redesign and restore the effectiveness of antibodies whose ability to fight viruses has been compromised by…
University of California/LLNL joint workshop sparks crucial dialogue on AI safety
Representatives from the Department of Energy (DOE) national laboratories, academia and industry convened recently at the University of California Livermore Collaboration Center (UCLCC) for a workshop aimed at aligning strategies for ensuring safe artificial intelligence (AI). The daylong event, attended by dozens of AI researchers, included keynote speeches by thought…
LLNL team accelerates multi-physics simulations with El Capitan predecessor systems
Researchers at Lawrence Livermore National Laboratory (LLNL) have achieved a milestone in accelerating and adding features to complex multi-physics simulations run on Graphics Processing Units (GPUs), a development that could advance high performance computing and engineering. As LLNL readies for El Capitan, the National Nuclear Security Administration’s first exascale…
HPC for Energy Innovation program launches Spring 2024 solicitation
The U.S. Department of Energy’s (DOE’s) High Performance Computing for Energy Innovation (HPC4EI) Program today announced the launch of its latest funding opportunity, inviting companies to propose collaborations with the DOE’s national laboratories that utilize their supercomputing resources and expertise. The HPC4EI umbrella, which includes the HPC4Manufacturing (HPC4Mfg…
WiDS Livermore conference attendees network, share research and absorb wisdom
Lawrence Livermore National Laboratory (LLNL) recently hosted its 7th annual Women in Data Science (WiDS) conference for data scientists, industry professionals, recent graduates and others interested in the field. As an independent satellite of the global WiDS conference celebrating International Women’s Day, the Livermore hybrid event was held to highlight the work and…
LLNL’s Gamblin named to HPCwire’s 'People to Watch' list for 2024
The high performance computing (HPC) publication HPCwire has selected Lawrence Livermore National Laboratory computer scientist Todd Gamblin as one of its “People to Watch” in HPC for 2024. A distinguished member of technical staff in Livermore Computing, Gamblin is best known in the HPC community for creating Spack, a popular open source HPC package management tool that…
HPC for Energy Innovation announces funding for new energy efficiency projects
The Department of Energy’s (DOE) High Performance Computing for Energy Innovation (HPC4EI) initiative today announced over $5 million in new funding for 13 industry partnerships, including a project led at Lawrence Livermore National Laboratory to develop more efficient optical cables. The awards, which stem from DOE’s Office of Energy Efficiency and Renewable Energy’s …
NNSA, LLNL officials break ground on critical Lab communications infrastructure upgrade
Officials with the National Nuclear Security Administration and Lawrence Livermore National Laboratory broke ground Feb. 6 on the Digital Infrastructure Capability Expansion (DICE) project, a critical upgrade for LLNL’s networking and communications. A decade in the making, the 13,000 square-foot facility is scheduled for completion in June 2025. It will provide LLNL with…
LLNL’s new software licensing portal open for business
The Innovation and Partnerships Office (IPO) has launched a new software licensing portal to facilitate the adoption of the diverse proprietary software solutions developed by Lawrence Livermore National Laboratory (LLNL) researchers. The portal is another outlet from IPO to promote technology transfer through partnerships and licensing opportunities to the private sector…
Revolutionary tool speeds up GPU programs for scientific applications
A Lawrence Livermore National Laboratory (LLNL)-led team has developed a method for optimizing application performance on largescale graphics processing unit (GPU) systems, providing a useful tool for developers running on GPU-based massively parallel and distributed machines. A recent paper, which features four LLNL co-authors, describes a mechanism called Record-Replay …
LLNL’s Woodward, Hill elected to key SIAM leadership positions
The Society for Industrial and Applied Mathematics (SIAM) announced the election of Lawrence Livermore National Laboratory computational mathematician Carol Woodward as its president-elect and LLNL computational scientist Judy Hill as a council member for the organization. SIAM is a renowned international community with more than 14,000 applied mathematicians,…
