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HPC, Simulation, and Data Science

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 …

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…

New commodity supercomputing clusters deployed at NNSA labs claim Top500 spots

Three of the newest National Nuclear Security Administration (NNSA) commodity computing clusters recently deployed at Lawrence Livermore National Laboratory (LLNL) and Sandia National Laboratories (Sandia) are among the most powerful supercomputing systems in the world, Top500 organizers announced Monday. Funded under the second Commodity Technology Systems contract (CTS-2…

Data Days brings Department of Energy labs together for discussions on data management and more

Data researchers, developers, data managers and program managers from the Department of Energy (DOE) national laboratories visited Lawrence Livermore National Laboratory (LLNL) Oct. 24-26 to discuss the latest in data management, sharing and accessibility at the 2023 DOE Data Days (D3) workshop. The three-day event, sponsored by the National Nuclear Security Administration…

LLNL’s Kailkhura elevated to IEEE senior member

The Institute of Electrical and Electronics Engineers (IEEE), the world’s largest technical professional organization, has elevated Lawrence Livermore National Laboratory research staff member Bhavya Kailkhura to the grade of senior member within the organization. IEEE has more than 427,000 members in more than 190 countries, including engineers, scientists and allied…

A different kind of Cyber and Critical Infrastructure Summer Institute

Each year, Lawrence Livermore National Laboratory (LLNL) offers students the opportunity to join the Cyber and Critical Infrastructure Summer Institute (CSI) for an internship working on LLNL’s cybersecurity and critical infrastructure projects. “CSI is for both cyber and non-cyber students. It demonstrates to interns that protecting our critical infrastructure and other…

LLNL’s Data Science Summer Institute hosts student interns from Japan

Lawrence Livermore National Laboratory’s Data Science Summer Institute (DSSI) hosted summer student interns from Japan on-site for the first time, where the students worked with Lab mentors on real-world projects in artificial intelligence (AI)-assisted bio-surveillance and automated 3D printing. From June to September, the three students — Raiki Yoshimura, Shinnosuke…

LLNL, University of California partner for AI-driven additive manufacturing research

Lawrence Livermore National Laboratory (LLNL) today announced that Grace Gu, a faculty member in mechanical engineering at the University of California (UC), Berkeley, has been selected as the inaugural recipient of the LLNL Early Career UC Faculty Initiative. The initiative is a joint endeavor between LLNL’s Strategic Deterrence Principal Directorate and UC national…

HPC4EI workshop to highlight opportunities for supercomputing to shape manufacturing’s future

The High Performance Computing for Energy Innovation program will be hosting a special in-person workshop to discuss further deployment of high performance computing (HPC) to advance manufacturing on Oct. 18-19 at Lawrence Livermore National Laboratory’s (LLNL) University of California Livermore Collaboration Center (UCLCC) The workshop will explore future developments in…

Lab scientists and engineers garner three awards for top inventions in R&D 100 competition

Lawrence Livermore National Laboratory (LLNL) scientists and engineers have netted three awards among the top 100 inventions worldwide. The trade journal R&D World Magazine recently announced the winners of the awards, often called the “Oscars of innovation,” recognizing new commercial products, technologies and materials that are available for sale or license for…

LLNL scientists among finalists for new Gordon Bell climate modeling award

A team from Lawrence Livermore National Laboratory (LLNL) and seven other Department of Energy (DOE) national laboratories is a finalist for the new Association for Computing Machinery (ACM) Gordon Bell Prize for Climate Modeling for running an unprecedented high-resolution global atmosphere model on the world’s first exascale supercomputer. The Gordon Bell submission, led…

LLNL team reaches milestone in power grid optimization on world’s first exascale supercomputer

Ensuring the nation’s electrical power grid can function with limited disruptions in the event of a natural disaster, catastrophic weather or a manmade attack is a key national security challenge. Compounding the challenge of grid management is the increasing amount of renewable energy sources such as solar and wind that are continually added to the grid, and the fact that…

UC Merced & UC Riverside tackle Data Science Challenge on machine learning-assisted heart modeling

For the first time, students from the University of California (UC) Merced and UC Riverside joined forces for the two-week Data Science Challenge (DSC) at Lawrence Livermore National Laboratory, tackling a real-world problem in machine learning (ML)-assisted heart modeling. Held in the Livermore Valley Open Campus’s newly remodeled University of California Livermore…

Explainable artificial intelligence can enhance scientific workflows

Machine learning techniques are increasingly being used in the sciences, as they can streamline work and improve efficiency. But these techniques are sometimes met with hesitation: When users don’t understand what’s going on behind the curtains, they may lack trust in the machine learning models. As these tools become more widespread, a team of researchers in Lawrence…

DOE announces additional funding for HPC4Energy Innovation projects

The Department of Energy (DOE) today announced $3.9 million for 13 public-private partnerships that will apply high performance computing (HPC) to manufacturing processes and advanced materials, including a Lawrence Livermore National Laboratory (LLNL) collaboration to decarbonize asphalt production. The awards, representing DOE’s fall 2022 round of funding for the High…

High-performance computing, AI and cognitive simulation helped LLNL conquer fusion ignition

Part 10 a series of articles describing the elements of Lawrence Livermore National Laboratory’s fusion breakthrough. For hundreds of Lawrence Livermore National Laboratory (LLNL) scientists on the design, experimental, and modeling and simulation teams behind inertial confinement fusion (ICF) experiments at the National Ignition Facility (NIF), the results of the now…