Topic: Multimedia

From our fall 2022 hackathon, watch as participants trained an autonomous race car with reinforcement learning algorithms.

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The Exascale Computing Project has compiled a playlist of videos from multiple national labs to highlight the impacts of exascale computing.

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Preparing the Livermore Computing Center for El Capitan and the exascale era of supercomputers required an entirely new way of thinking about the facility’s mechanical and electrical capabilities.

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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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