Topic: Multimedia

LLNL's Greg Becker spoke with HPC Tech Shorts to explain how Spack's binary cache works. The video “Get your HPC codes installed and running in minutes using Spack’s Binary Cache” runs 15:11.

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This year marks the 30th anniversary of the High Performance Storage System (HPSS) collaboration, comprising five DOE HPC national laboratories: LLNL, Lawrence Berkeley, Los Alamos, Oak Ridge, and Sandia, along with industry partner IBM.

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In this IDEAS-ECP webinar, Jean Shuler, who joined LLNL in 1972, shares her stories providing support on a range of computing architectures. The video is an hour long.

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The DOE's Exascale Computing Project compiled a video playlist for Exascale Day on October 18 (1018).

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Computational biology is using HPC to rapidly design and develop ways to treat cancer and COVID. LLNL researcher Felice Lightstone discusses ATOM (Accelerated Therapeutic Opportunities in Medicine) in this edition of SC21 TV.

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At the AWS/Arm Cloud Hackathon, Todd Gamblin and Greg Becker discuss the essential skills and concepts needed to understand how to create and deploy Spack recipes to build scientific codes.

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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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In this episode (32:00), LLNL's Jeff Hittinger talks about scientific success, leadership, and the tricks he’s cultivated for communicating science to broader audiences through the Livermore Ambassador Lecture series.

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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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On a recent video episode of The Data Standard Podcast, biostatistician Nisha Mulakken discusses the Lawrence Livermore Microbial Detection Array (LLMDA) system, which has detection capability for all variants of SARS-CoV-2.

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The Data Science Institute's seminar series has transitioned to a virtual format, and a playlist of recently recorded seminars is available on the Livermore Lab Events YouTube channel.

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Led by computational scientist Youngsoo Choi, the Data-Driven Physical Simulation reading group has been meeting biweekly since October 2019. The pandemic almost disbanded the group... until it turned into a virtual seminar series.

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At the 2020 LLNL Computing Virtual Expo, Marisa Torres described the Girls Who Code program’s activities, how it's closing the technology gender gap, and ways to get involved.

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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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At the 2020 LLNL Computing Expo, Jim Brase outlined the Lab’s predictive biology efforts for new therapeutics, HPC capabilities, and making those resources available to researchers.

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LLNL computer scientist and Spack PI Todd Gamblin explains how the package manager works in this video from CppCon (C++ Conference). The video runs 6:53.

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LLNL pairs 3D-printed human brain vasculature with computational flow simulations to understand tumor cell attachment to blood vessels, a step in secondary tumor formation during cancer metastasis.

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An interview with Todd Gamblin from the LLNL about the Spack project, discussing his current research project along with his involvement in Spack.

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Members of the leadership team of the DOE’s Exascale Computing Project cover the state of the project on the "Let's Talk Exascale" podcast. Episode 72 runs 1:26:54 and includes a transcript.

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LLNL computer scientist Stephen Herbein discusses the open-source Flux Framework HPC software on this video episode of Next Platform TV. His segment begins at 27:34.

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This video provides an overview of LLNL projects in which data scientists work with domain scientists to address major challenges in healthcare.

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This video describes MFEM (Modular Finite Element Methods), an open-source software library that provides advanced mathematical algorithms for use by scientific applications.

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The Center for Efficient Exascale Discretizations recently released MFEM v4.1, which introduces features important for the nation’s first exascale supercomputers. LLNL's Tzanio Kolev explains.

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LLNL's Jay Thiagarajan joins the Data Skeptic podcast to discuss his recent paper "Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models." The episode runs 35:50.

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In this video from the Stanford HPC Conference, Katie Lewis presents "The Incorporation of Machine Learning into Scientific Simulations at Lawrence Livermore National Laboratory."

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