Topic: HPC Systems and Software

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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As a high school baseball coach, LLNL software developer Chris Moussa understands the value of having teammates you can rely on, which is why he’s especially grateful for his “fantastic” team at work.

People Highlight

The high performance computing publication HPCwire has selected LLNL computer scientist Todd Gamblin as one of its “People to Watch” in HPC for 2024. The program recognized 12 HPC professionals who “play leading roles in driving innovation within their particular fields, making significant contributions to society as a whole.”

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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 stockpile.

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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 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, colloquially known as SC23.

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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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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 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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Merlin is an open-source workflow orchestration and coordination tool that makes it easy to build, run, and process large-scale workflows.

Project

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. Once all the pieces are in place, the life of El Cap as world-class supercomputer begins.

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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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Quandary is an open-source C++ package for optimal control of quantum systems on classical high performance computing platforms.

Project

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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Tammy Dahlgren has worked on a diverse variety of projects at the Lab, including supervisory control systems for the National Ignition Facility, animal disease modeling, mass hierarchical storage systems, RADIUSS, and more.

People Highlight

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

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

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

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