Topic: Open-Source Software

The Lab’s workhorse visualization tool provides expanded color map features, including for visually impaired users.

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2023’s Developer Day was a two-day event for the first time, balancing an all-virtual technical program with a fully in-person networking day.

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Updating a compiler can affect how code runs, leading to inconsistencies in outputs and creating problems for scientists. A new tool automatically finds the sources of these inconsistencies.

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An LLNL Distinguished Member of Technical Staff, Falgout is still finding the fun in problem solving as project leader for two of CASC’s most cutting-edge multigrid method computing projects, hypre and XBraid.

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libROM is a library designed to facilitate Proper Orthogonal Decomposition (POD) based Reduced Order Modeling (ROM).

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LC’s adaptation of OpenZFS software provides high performance parallel file systems with better performance and scalability.

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The second annual MFEM workshop brought together the project’s global user and developer community for technical talks, Q&A, and more.

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This 2021 R&D 100 award-winning software solves data center bottlenecks by enabling resource types, schedulers, and framework services to be deployed as data centers evolve.

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An LLNL Distinguished Member of Technical Staff, Todd Gamblin leads the Spack project, an open-source package manager with a rapidly growing global community that has changed the way people use HPC software.

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A Sandia National Laboratories team has adapted Livermore’s software.llnl.gov website to showcase their own open-source software. Both projects are developed and hosted on GitHub.

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The Earth System Grid Federation is a web-based tool set that powers most global Earth system research.

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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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Computational mathematician Julian Andrej began using LLNL-developed, open-source software while in Germany. Now at Livermore, he lends his expertise to the Center for Applied Scientific Computing, developing code for next-generation computing hardware.

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From molecular screening, a software platform, and an online data to the computing systems that power these projects.

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The MAPP incorporates multiple software packages into one integrated code so that multiphysics simulation codes can perform at scale on present and future supercomputers.

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This project advances research in physics-informed ML, invests in validated and explainable ML, creates an advanced data environment, builds ML expertise across the complex, and more.

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The MFEM software library provides high-order mathematical algorithms for large-scale scientific simulations. An October workshop brought together MFEM’s global user and developer community for the first time.

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Held virtually on July 15, our fifth annual Developer Day featured lightning talks, a technical deep dive, “quick takes” on remote-development resources, presentations about career paths, and a career development panel discussion.

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A Livermore-developed programming approach helps software to run on different platforms without major disruption to the source code.

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Supported by the Advanced Simulation and Computing program, Axom focuses on developing software infrastructure components that can be shared by HPC apps running on different platforms.

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