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An observatory set against the night sky

MuyGPs helps complete and forecast the brightness data of objects viewed by Earth-based telescopes.

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IEEE HPEC Supercomputer

Can novel mathematical algorithms help scientific simulations leverage hardware designed for machine learning? A team from LLNL’s Center for Applied Scientific Computing aimed to find out.

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A presentation given at SC23

An LLNL-led team has developed a method for optimizing application performance on large-scale GPU systems, providing a useful tool for developers running on GPU-based massively parallel and distributed machines.

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A comparison of compressed neural images

New research reveals subtleties in the performance of neural image compression methods, offering insights toward improving these models for real-world applications.

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Johannes Doerfert on stage with other awardees

Johannes Doerfert, a computer scientist in the Center for Applied Scientific Computing, was one of three researchers awarded the honor at SC23 in Denver.

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Spack developers being presented with the HPC Editor's Choice Award

Leading HPC publication HPCwire presented Spack developers with the Editor's Choice Award for Best HPC Programming Tool or Technology at SC23.

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A video call featuring members of the computational math community

The MFEM virtual workshop highlighted the project’s development roadmap and users’ scientific applications. The event also included Q&A, student lightning talks, and a visualization contest.

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The Dane and Bengal computing clusters

The debut of the NNSA Commodity Technology Systems-2 computing clusters Dane and Bengal on the Top500 List of the world’s most powerful supercomputers brings the total of LLNL-sited systems on the list to 11, the most of any supercomputing center in the world.

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Workers assembling El Capitan

Over several years, teams have prepared the infrastructure for El Capitan, designing and building the computing facility’s upgrades for power and cooling, installing storage and compute components and connecting everything together.

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SC23 logo

LLNL is participating in the 35th annual Supercomputing Conference (SC23), which will be held both virtually and in Denver on November 12–17, 2023.

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Diagram of ECP data and visualization products

The Data and Visualization efforts in the DOE’s Exascale Computing Project provide an ecosystem of capabilities for data management, analysis, lossy compression, and visualization.

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A simulation created by CEED

The Center for Efficient Exascale Discretizations has developed innovative mathematical algorithms for the DOE’s next generation of supercomputers.

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A group photo of the CEED members present at CEED7AM

Hosted at LLNL, the Center for Efficient Exascale Discretizations’ annual event featured breakout discussions, more than two dozen speakers, and an evening of bocce ball.

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2023 R&D 100 Winner Logo

With this year’s results, the Lab has now collected a total of 179 R&D 100 awards since 1978. The awards will be showcased at the 61st R&D 100 black-tie awards gala on Nov. 16 in San Diego.

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The climate model eligible for a Gordon Bell award

A team from LLNL and seven other DOE labs is a finalist for the new ACM Gordon Bell Prize for Climate Modeling for running an unprecedented high-resolution global atmosphere model on the world’s first exascale supercomputer. 

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Ian Lee on a Dots & Bridges panel

LLNL's Ian Lee joins a Dots and Bridges panel to discuss HPC as a critical resource for data assimilation and numerical weather prediction research.

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An additive manufactured cutting tool for precision machining

LLNL's zfp and Variorum software projects are winners. LLNL is a co-developing organization on the winning CANDLE project.

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El Capitan being assembled

Siting a supercomputer requires close coordination of hardware, software, applications, and Livermore Computing facilities.

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An LLNL group responsible for work on El Capitan

Flux, next-generation resource and job management software, steps up to support emerging use cases.

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A group of people standing in front of El Capitan

The Tri-Lab Operating System Stack (TOSS) ensures other national labs’ supercomputing needs are met.

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A picture of El Capitan with the mural facing outwards

Livermore Computing is making significant progress toward siting the NNSA’s first exascale supercomputer.

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A Rabbit Node

Innovative hardware provides near-node local storage alongside large-capacity storage.

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A stock image of a terminal and several icons

A Laboratory-developed software package management tool, enhanced by contributions from more than 1,000 users, supports the high performance computing community.

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A map of America indicating locations from high risk to low risk

LLNL researchers ran HiOp, an open-source optimization solver, on 9,000 nodes of Oak Ridge National Laboratory’s Frontier exascale supercomputer in the largest simulation of its kind to date.

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A set of images, with the original on the left, and the AI-enhanced version on the right

 

Using explainable artificial intelligence techniques can help increase the reach of machine learning applications in materials science, making the process of designing new materials much more efficient.