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Three El Capitan Early Access Systems: Tioga, Tenaya, and RZVernal

Three testbed machines for Lawrence Livermore National Laboratory’s future exascale El Capitan supercomputer — nicknamed rzVernal, Tioga and Tenaya — all ranked among the top 200 on the latest Top500 List of the world’s most powerful computers.

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LLNL and Amazon Web Services

LLNL and Amazon Web Services (AWS) have signed a memorandum of understanding to define the role of leadership-class HPC in a future where cloud HPC is ubiquitous.

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IPDPS 2022 twitter card

LLNL participates in the International Parallel and Distributed Processing Symposium (IPDPS) on May 30 through June 3.

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square cutaway of rainbow-colored data reconstruction

Winning the best paper award at PacificVis 2022, a research team has developed a resolution-precision-adaptive representation technique that reduces mesh sizes, thereby reducing the memory and storage footprints of large scientific datasets.

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Magma supercomputer in dramatic blue lighting, overlaid with LLNL logo and ISC22 logo

Join LLNL at the ISC High Performance Conference on May 29 through June 2. The event brings together the HPC community to share the latest technology of interest to HPC developers and users.

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hpc

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

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Cornelius system mockup

The U.S. Department of Energy’s (DOE) National Nuclear Security Administration (NNSA) today announced the award of an $18 million contract to Cornelis Network for collaborative research and development in next-generation networking for supercomputing systems at the NNSA laboratories. 

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Exascale Computing Project logo

The Exascale Computing Project (ECP) 2022 Community Birds-of-a-Feather Days will take place May 10–12 via Zoom. The event provides an opportunity for the HPC community to engage with ECP teams to discuss our latest development efforts.

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Coronavirus model

Analyzing one of the largest databases of patients with cancer and COVID-19 with machine learning models, researchers from LLNL and the UC–San Francisco found previously unreported links between a rare type of cancer.

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collage of Flux team alongside the project logo

The Livermore Computing–developed Flux project addresses challenges posed by complex scientific research supercomputing workflows, and the team has played a major role in the ECP ExaWorks project.

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Being male is a known risk factor for adverse outcomes in hospitalized COVID-19 patients. However, new analysis reveals that when modeling the entire disease trajectory, the degree to which being male is a risk factor depends on the underlying disease severity of the patient. Foreground image credit: LLNL Principal Investigator Priyadip Ray; Background image credit: Adobe Stock images.

An LLNL team has developed a comprehensive dynamic model of COVID-19 disease progression in hospitalized patients.

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Oppenheimer awards announcement with picture of Kathryn and Yong

The Oppenheimer Science and Energy Leadership Program has selected materials scientist T. Yong Han and computer scientist Kathryn Mohror as 2022 fellows.

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RAS protein in front of Sierra

In the Multiscale Machine-Learned Modeling Infrastructure (MuMMI), the macroscale simulation runs a large system, with hundreds of proteins, at low resolution and machine learning decides which regions of the macro-model require investigation in a microscale simulation at much higher resolution.

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AI3 logo

Lawrence Livermore National Laboratory’s AI Innovation Incubator (AI3) will serve as the foundation for a cohesive view of AI for Applied Science, built upon LLNL’s “cognitive simulation” approach that combines state-of-the-art AI technologies with leading-edge high performance computing. 

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Screenshot of Zoom meeting of SC21 SCC

LLNL’s formidable presence at the annual Supercomputing Conference (SC21) included leadership of the Student Cluster Competition (SCC), which was held in a hybrid format. Computer scientist Kathleen Shoga served as this year’s SCC chair.

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Inclusions in steel PPT slide

Under a newly funded HPC for Manufacturing project, LLNL will partner with steel and mining company ArcelorMittal to couple computer vision and machine learning methods with HPC resources to reduce emissions and defects from inclusions in steel manufacturing.

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Bronis at a podium speaking to SC audience

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” sessions.

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Ignacio accepting the award in front of a large projection screen

A suite developed by an LLNL team to simplify evaluation of approximation techniques for scientific applications has won the first-ever Best Reproducibility Advancement Award for approximation framework at SC21.

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stylized image of supercomputer racks

In a project with U.S. Steel, LLNL computational physicists built models of the hot-rolling process to run on LLNL’s HPC platforms.

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RZ Nevada system

The DOE's Exascale Computing Project compiled a video playlist for Exascale Day on October 18 (10^18).

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flux logo next to R&D 100 logo

The renowned worldwide competition announced the winners of the 2021 R&D 100 Awards, among them LLNL's Flux workload management software framework in the Software/Services category.

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HPV visual

LLNL will lend its expertise in vaccine research—most recently from designing new antibodies and antiviral drugs for COVID-19—and computing resources to the Human Vaccines Project consortium to aid development of a universal coronavirus vaccine and improve understanding of immune response.

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ECFM with "Exascale Day 10.18.21" on it

To prepare for El Capitan and the next generation of supercomputers, construction crews and maintenance workers at LLNL have been hard at work since late 2019 and throughout the pandemic on a $100 million Exascale Computing Facility Modernization project. 

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Journal of Applied Physics cover with M&IC grand challenge work on it

Grand Challenge results: MSD scientist Robert Rudd contributed to a joint-research paper with Oxford University entitled “Molecular dynamics simulations of inelastic x-ray scattering from shocked copper,” which was featured on the September 2021 cover of the Journal of Applied Physics.

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team looks on to previous generation supercomputer

The second Commodity Technology Systems contract will provide at least $40 million for more than 40 petaflops (40 quadrillion floating-point operations per second) of expanded computing capacity for the NNSA Tri-Labs (LLNL, LANL and SNL).