Topic: Multimedia

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.

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

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.

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.

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.

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.

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

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.

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.

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.

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

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.

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.

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

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

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.

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.

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

The Exascale Computing Project's Let's Talk Exascale podcast has a new episode featuring LLNL's Todd Gamblin, who talks about the package manager Spack. Episode 67 runs 5:54 and includes a transcript.

On the Hidden in Plain Sight podcast, LLNL director Bill Goldstein explains how the Lab crunches data to shape the future.

The extreme-scale scientific software development kit (xSDK) is an ecosystem of independently developed math libraries and scientific domain components.

A software product from the ECP called UnifyFS can provide I/O performance portability for applications, enabling them to use distributed in-system storage and the parallel file system.

The Data Science Institute co-sponsored the women's lunch at the 2019 Conference on Knowledge Discovery and Data Mining. Alyson Fox and Amanda Minnich discussed LLNL's diversity and inclusion efforts.

According to DOE secretary Rick Perry, "Accelerating artificial intelligence and machine learning is crucial to strengthening our country’s economic and national security."

In this video from the 2019 Stanford HPC Conference, LLNL's Todd Gamblin presents "Spack – A Package Manager for HPC."