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the first cohort of SEAM participants stand as a group in front of a large video screen

To keep employees abreast of the latest tools, two data science–focused projects are under way as part of Lawrence Livermore’s Institutional Scientific Capability Portfolio.

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side-by-side topographical maps of the California Bay Area with Hayward Fault highlighted in blue and earthquake growth depicted in rainbow colors

This issue highlights some of CASC’s contributions to the DOE's Exascale Computing Project.

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LLNL open source logo in white with full Lab name spelled out, both overlaid on a black background and a pattern of interconnected teal swirls and dots

Release the codes! With a dynamic developer community and a long history of encouraging open-source software, LLNL has reached quadruple-digit GitHub offerings.

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El Capitan Supercomputer Software

Discover how the software architecture and storage systems that will drive El Capitan’s performance will help LLNL and the NNSA Tri-Labs push the boundaries of computational science.

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El Capitan graphic

Unveiled at the International Supercomputing Conference in Germany, the June 2024 Top500 lists three systems with identical components as registering 19.65 petaflops on the High Performance Linpack benchmark, ranking them among the world’s 50 fastest.

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Simulation on computer monitor

In a groundbreaking development for addressing future viral pandemics, a multi-institutional team involving LLNL researchers has successfully combined an AI-backed platform with supercomputing to redesign and restore the effectiveness of antibodies whose ability to fight viruses has been compromi

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group photo of UC/LLNL workshop

Throughout the workshop, speakers, panelists and attendees focused on algorithm development, the potential dangers of superhuman AI systems and the importance of understanding and mitigating the risks to humans, as well as urgent measures needed to address the risks both scientifically and politi

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ISC logo and supercomputer

LLNL participates in the ISC High Performance Conference (ISC24) on May 12–16.

 

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Judith Hill giving a presentation on El Capitan

The El Capitan Center of Excellence provides a conduit between national labs and commercial vendors, ensuring that the exascale system will meet everyone’s needs.

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Technicians working on El Capitan

The advent of accelerated processing units presents new challenges and opportunities for teams responsible for network interconnects and math libraries.

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Members of the Tools Working group assembled in front of El Capitan

The Tools Working Group delivers debugging, correctness, and performance analysis solutions at an unprecedented scale.

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A graph of structures within El Capitan

Backed by Spack’s robust functionality, the Packaging Working Group manages the relationships between user software and system software.

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TUOLUMNE

Compilers translate human-programmable source code into machine-readable code. Building a compiler is especially challenging in the exascale era.

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Todd Gamblin

The high performance computing publication HPCwire has selected LLNL computer scientist Todd Gamblin as one of its “People to Watch” in HPC for 2024.

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Someone working in the hardware of a supercomputer

The system will enable researchers from the National Nuclear Security Administration weapons design laboratories to create models and run simulations, previously considered challenging, time-intensive or impossible, for the maintenance and modernization of the United States’ nuclear weapons stock

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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 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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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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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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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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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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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.