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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,…

Record-setting SC23 builds mile-high momentum for exascale computing, AI, and the future of HPC

The crowds returned to SC, and with them came a renewed excitement for the future of high performance computing (HPC). A record number of attendees — more than 14,000 — experts, researchers, vendors and enthusiasts in the field of HPC descended on the Mile High City for the 2023 International Conference for High Performance Computing, Networking, Storage and Analysis,…

LLNL’s Doerfert awarded IEEE Computer Society Early Career Researchers Award

The IEEE Computer Society on Nov. 16 presented Lawrence Livermore National Laboratory (LLNL)’s Johannes Doerfert with its IEEE-CS Technical Community on High Performance Computing (TCHPC) Early Career Researchers Award for Excellence in High Performance Computing. Doerfert, a computer scientist in the Center for Applied Scientific Computing at LLNL, was one of three…

LLNL-led SCREAM team clinches inaugural Gordon Bell Prize for climate modeling

A Lawrence Livermore National Laboratory (LLNL)-led effort that performed an unprecedented global climate model simulation on the world’s first exascale supercomputer has won the first-ever Association for Computing Machinery (ACM) Gordon Bell Prize for Climate Modelling, ACM officials announced Thursday. The Simple Cloud Resolving E3SM Atmosphere Model (SCREAM) team, led…

Spack receives prestigious HPCwire award at SC23

Leading high performance computing publication HPCwire on Wednesday presented Spack developers with the Editor's Choice Award for Best High Performance Computing (HPC) Programming Tool or Technology at the 2023 International Conference for High Performance Computing, Networking, Storage and Analysis (SC23). Spack, a versatile, ubiquitous and configurable package manager…

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…

LLNL hosts thousands of enthusiastic explorers for Open House 2023

Nearly 19,000 employees and guests visited Lawrence Livermore National Laboratory’s Open House 2023 on Oct. 21 and 22: an unprecedented crowd witnessing the Lab’s innovative science and technology up close. With the theme of “Explore, Discover, Innovate,” every corner of the Lab — from the site of the world’s first fusion ignition reaction to the upcoming home of the world…

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…