Topic: Software Engineering

UX designer Bianca Toledo helps make government applications more human-centric, user-friendly, and aesthetically pleasing. She joined the Lab in 2019 to find meaning in her work.

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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 RADIUSS project aims to lower cost and improve agility by encouraging adoption of our core open-source software products for use in institutional applications.

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As group leader and application developer in the Global Security Computing Applications Division, Jarom Nelson develops intrusion detection and access control software.

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The Software Development Resource Center connects developers across LLNL through best practices in software tools, development methodologies, DevOps, security compliance, and more.

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One of the most widely used tactical simulations in the world, JCATS is installed in hundreds of U.S. military and civilian organizations, in NATO, and in more than 30 countries.

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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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Upgraded with the C++ programming language, VBL provides high-fidelity models and high-resolution calculations of laser performance predictions.

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Computing’s newest internship program focuses on DevOps methodologies. The inaugural class of 2021 built a persistent data services provisioning application that will soon assist real Livermore Computing users.

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Each new season brings another hackathon, and Computing’s 2021 summer event took place on August 12–13.

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A new episode of the Talking Drupal podcast features LLNL developer Shelane French, who discussed how Computing uses Drupal and Docksal in the Lab's web environment.

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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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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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Our use of supercomputers is enabled by the codes developed to model and simulate complex physical phenomena on massively parallel architectures.

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Computer scientist Vanessa Sochat isn’t afraid to meet new experiences head on. With a Stanford PhD and a jump-right-in attitude, she joined LLNL to work on the BUILD project, Spack package manager, and other open-source initiatives.

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Computing relies on engineers like Stephanie Brink to keep the legacy codes running smoothly. “You’re only as fast as your slowest processor or your slowest function,” says Brink, who works in CASC. By analyzing a legacy code’s performance, Brink and her team can reduce the amount of time it takes to run and allow for more critical science to be accomplished.

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CTO Bronis de Supinski discusses the integrated storage strategy of the future El Capitan exascale supercomputing system, which will have in excess of 2 exaflops of raw computing power spread across nodes.

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A near node local storage innovation called Rabbit factored heavily into LLNL’s decision to select Cray’s proposal for its CORAL-2 machine, the lab’s first exascale-class supercomputer, El Capitan.

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Computer engineer Ian Lee describes the Lab’s OSS community, activities, and policies. This talk was recorded for the 2020 LLNL Computing Virtual Expo.

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This summer, the Computing Scholar Program welcomed 160 undergraduate and graduate students into virtual internships. The Lab’s open-source community was already primed for student participation.

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Computing’s summer hackathon was held virtually on August 6–7 and featured presentations from teams who tested software technologies, expanded project features, or explored new ways of analyzing data.

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Computing’s fourth annual Developer Day was held as a virtual event on July 30 with 8 speakers and 90 participants.

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