Topic: Resource and Workflow Management

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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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

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

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

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The latest issue of Science & Technology Review highlights the R&D 100 award–winning Flux software framework.

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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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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 participates in the International Parallel and Distributed Processing Symposium (IPDPS) on May 30 through June 3.

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The Livermore Computing–developed Flux project addresses challenges posed by complex scientific research supercomputing workflows.

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The Maestro Workflow Conductor is a lightweight, open-source Python tool that can launch multi-step software simulation workflows in a clear, concise, consistent, and repeatable manner.

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Highlights include CASC director Jeff Hittinger's vision for the center as well as recent work with PruneJuice DataRaceBench, Caliper, and SUNDIALS.

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Highlights include complex simulation codes, uncertainty quantification, discrete event simulation, and the Unify file system.

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Cram lets you easily run many small MPI jobs within a single, large MPI job by splitting MPI_COMM_WORLD up into many small communicators to run each job in the cram file independently.

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Caliper enables users to build customized performance measurement and analysis solutions by connecting independent context annotations, measurement services, and data processing services.

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