Topic: Performance, Portability, and Productivity

Two LLNL teams have come up with ingenious solutions to a few of the more vexing difficulties. For their efforts, they’ve won awards coveted by scientists in the technology fields.

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Collecting variants in low-level hardware features across multiple GPU and CPU architectures.

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

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

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

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Variorum provides robust, portable interfaces that allow us to measure and optimize computation at the physical level: temperature, cycles, energy, and power. With that foundation, we can get the best possible use of our world-class computing resources.

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The 2022 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22) returned to Dallas as a large contingent of LLNL staff participated in sessions, panels, paper presentations and workshops centered around HPC.

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The Advanced Technology Development and Mitigation program within the Exascale Computing Project shows that the best way to support the mission is through open collaboration and a sustainable software infrastructure.

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LLNL’s Python 3–based ATS tool provides scientific code teams with automated regression testing across HPC architectures.

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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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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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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 diverse platforms.

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LLNL participates in the digital ISC High Performance Conference (ISC21) on June 24 through July 2.

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