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HPC, Simulation, and Data Science
Multi-lab High Performance Storage System collaboration marks 30 years of data storage
Lawrence Livermore National Laboratory (LLNL) and the rest of the Department of Energy (DOE) national laboratories produce an astronomical amount of data every year. As the volume of data generated from DOE high performance computing (HPC) continues to reach increasing scales of magnitude and new levels of importance for decision-making, where does all this data go and how…
El Capitan testbed systems rank among top 200 of world’s most powerful computers
As the U.S. welcomed the world’s first “true” exascale supercomputer, three predecessor machines for Lawrence Livermore National Laboratory’s (LLNL) future exascale system El Capitan managed to rank highly on the latest Top500 List of the world’s most powerful supercomputers. Organizers announced the list at the International Supercomputing Conference in Hamburg, Germany…
LLNL and Amazon Web Services to cooperate on standardized software stack for HPC
Lawrence Livermore National Laboratory (LLNL) and Amazon Web Services (AWS) have signed a memorandum of understanding (MOU) to define the role of leadership-class high performance computing (HPC) in a future where cloud HPC is ubiquitous. Under the MOU, LLNL and AWS will explore software and hardware solutions spanning cloud and on-premises HPC environments, with the goal…
HPCIC webinar series to highlight LLNL/Hartree Center industry engagement and joint research
Lawrence Livermore National Laboratory (LLNL) and the United Kingdom’s Hartree Centre are launching a new webinar series intended to spur collaboration with industry through discussions on computational science, high performance computing (HPC) and data science. The first Hartree–Livermore joint webinar on Computational Science (HLCS) takes place May 24, where speakers…
NNSA and Cornelis Networks to collaborate on next-generation high-performance networking
The U.S. Department of Energy’s (DOE) National Nuclear Security Administration (NNSA) today announced the award of an $18 million contract to Cornelis Networks for collaborative research and development in next-generation networking for supercomputing systems at the NNSA laboratories. The Next-Generation High Performance Computing Network (NG-HPCN) project for the NNSA’s…
HPC4Energy Innovation initiative launches new call for proposals
The Department of Energy (DOE) today launched the spring 2022 solicitation for the High Performance Computing for Energy Innovation (HPC4EI) initiative, seeking proposals from industry that address key energy and decarbonization-related challenges in domestic manufacturing. The latest HPC4EI funding opportunity is sponsored by the HPC4Manufacturing (HPC4Mfg) Program, one…
Laser-based ultrasound detects defect-producing features in metal 3D printing
Lawrence Livermore National Laboratory (LLNL) researchers have developed a new all-optical ultrasound technique capable of performing on-demand characterization of melt tracks and detecting formation of defects in a popular metal 3D printing process. In a paper published by Scientific Reports, Lab researchers propose a diagnostic using surface acoustic waves (SAW),…
NASA funds LLNL to demonstrate 'replicator' 3D printer to produce cartilage in space
The National Aeronautics and Space Administration (NASA) announced April 15 it has awarded Lawrence Livermore National Laboratory (LLNL) and a private company with funding to develop LLNL’s revolutionary volumetric additive manufacturing (VAM) 3D printing technology to produce artificial cartilage tissue in space. The award, one of eight projects selected by NASA’s In…
Livermore WiDS provides forum for women in data science
Lawrence Livermore National Laboratory (LLNL) celebrated the 2022 Global Women in Data Science (WiDS) conference on March 7 with its fifth annual regional event, featuring workshops, mentoring sessions and a discussion with LLNL Director Kim Budil, the first woman to hold that role. For the second straight year, the WiDS Livermore event was entirely virtual due to the…
Machine learning model finds COVID-19 risks for cancer patients
If a cancer patient tests positive for COVID-19, are they more likely to become hospitalized from the disease? That depends on certain risk factors, according to a new study by researchers at Lawrence Livermore National Laboratory (LLNL) and the University of California, San Francisco (UCSF), who looked to identify cancer-related risks for poor outcomes from COVID-19…
Register for materials-focused HPC4EI virtual event
Registration is open for the High Performance Computing for Energy Innovation (HPC4EI) initiative’s upcoming virtual event on April 8, a webinar highlighting the impact of high performance computing on material design and predicting material performance. Free to the public, the “Focus on Materials” event will feature talks by U.S. Department of Energy (DOE) national…
LLNL team models COVID-19 disease progression and identifies risk factors
A Lawrence Livermore National Laboratory (LLNL) team has developed a comprehensive dynamic model of COVID-19 disease progression in hospitalized patients, finding that risk factors for complications from the disease are dependent on the patient’s disease state. Using a machine learning algorithm on a dataset of electronic health records (EHRs) from more than 1,300…
Lawrence Livermore's Falgout wins SIAM Supercomputing Career Prize
The Society for Industrial and Applied Mathematics (SIAM) announced Lawrence Livermore National Laboratory computational mathematician Rob Falgout as the recipient of the 2022 SIAM Activity Group on Supercomputing Career Prize. Established in 2009, the career prize recognizes “broad and distinguished contributions to the field of algorithms research and development for…
Two LLNL scientists honored as 2022 Oppenheimer Science and Energy Leadership fellows
The Oppenheimer Science and Energy Leadership Program (OSELP) has selected Lawrence Livermore National Laboratory computer scientist Kathryn Mohror and materials scientist T. Yong Han as 2022 fellows. Established in 2017, OSELP is a distinguished fellowship program that brings together exceptional leaders to explore the complexities, challenges and opportunities facing the…
Unprecedented multiscale model of protein behavior linked to cancer-causing mutations
Lawrence Livermore National Laboratory (LLNL) 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. Published by the Proceedings of the National Academy of…
LLNL establishes AI Innovation Incubator to advance artificial intelligence for applied science
Lawrence Livermore National Laboratory (LLNL) has established the AI Innovation Incubator (AI3), a collaborative hub aimed at uniting experts in artificial intelligence (AI) from LLNL, industry and academia to advance AI for large-scale scientific and commercial applications. LLNL has entered into a new memoranda of understanding with Google, IBM and NVIDIA, with plans to…
Newly funded HPC4Mfg project targets more energy-efficient steelmaking
A Lawrence Livermore National Laboratory (LLNL)-led collaboration targeted at using machine learning to reduce defects and carbon emissions in steelmaking is one of eight new projects receiving Department of Energy (DOE) funding through the High Performance Computing for Manufacturing (HPC4Mfg) Program. DOE’s Office of Energy Efficiency and Renewable Energy (EERE)…
Meet me in St. Louis (virtually or in person): First-ever hybrid Supercomputing conference sports strong Lab flavor
It was a Supercomputing conference like none other before it. For the first time ever, the 2021 International Conference for High Performance Computing, Networking, Storage and Analysis (SC21) went hybrid, with dozens of both in-person and virtual workshops, technical paper presentations, panels, tutorials and “birds of a feather” (BOF) sessions. Under the ongoing specter…
LLNL team wins SC21 Reproducibility Advancement Award
A suite developed by a Lawrence Livermore National Laboratory (LLNL) team to simplify evaluation of approximation techniques for scientific applications has won the first-ever Best Reproducibility Advancement Award at the 2021 International Conference for High Performance Computing, Networking, Storage and Analysis (SC21). Newly instituted by the conference, the award…
HPC for Energy Innovation issues new solicitation for clean energy projects
The U.S. Department of Energy's (DOE) High Performance Computing for Energy Innovation (HPC4EI) initiative, managed by Lawrence Livermore National Laboratory, is seeking proposals for projects that can leverage DOE supercomputing to advance clean energy technologies. The fall 2021 solicitation targets industry partners for collaborations with DOE national laboratories that…
