Topic: Software Engineering

Supported by the Advanced Simulation and Computing program, the open-source Axom project focuses on developing software infrastructure components that can be shared by HPC applications running on diverse computing 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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To help accelerate discovery of therapeutic antibodies or antiviral drugs for SARS-CoV-2, LLNL has launched a searchable data portal to share its COVID-19 research with scientists and the public.

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LLNL has infrastructure, unique research capabilities, and a dedicated team of scientists and engineers supporting the fight against COVID-19.

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New year, new hackathon! The January 30–31 event was Computing’s 23rd hackathon and the 1st scheduled in the winter season.

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The Lab is in many ways similar to a small city, and people like Louella Panaga help keep it operational day to day, hour to hour, and minute to minute.

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Jorge Castro Morales likes having different responsibilities at work. He says, “I’m honored to be working with a diverse team of multidisciplinary experts to resolve very complex problems on a daily basis.”

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Computing’s 22nd hackathon was held on October 24–25. The event has become so popular that a fourth hackathon will be added to the seasonal rotation in early 2020.

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As LLNL’s NIF enters its second decade of full-scale operations, the demands on all aspects of its information technology (IT) infrastructure are becoming more varied, complex, and critical.

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This year’s event included quick presentations on a range of topics, deep dives, a keynote speaker, and a panel discussion dedicated to the onboarding process.

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LLNL's hackathon allows employees and interns to make unique breakthroughs and work on projects they either haven’t had time for or have been of low priority in their day jobs.

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LLNL researchers have posted another standout year securing major grants through the DOE's Technology Commercialization Fund, including one for the Radiation Field Training Simulator.

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The RADIUSS (Rapid Application Development via an Institutional Universal Software Stack) 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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LLNL's Ian Lee discusses the importance of open-source software and cloud computing for HPC centers and government agencies.

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An LLNL-authored blog post describes the practice of continuous technology refreshment—the upgrade or replacement of infrastructure to deliver reliability, speed, capacity, and/or features.

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