Topic: Computational Science

In support of NASA’s Planetary Defense Coordination Office, researchers are creating 3D models and using LLNL's ALE3D code to produce simulations of hypothetical asteroid impact scenarios.

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An LLNL team used LANL's Trinity supercomputer for a machine-learned surrogate representation of their laser-driven fusion implosion model.

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LLNL’s Lassen joined Sierra in the top 10 of the TOP500 list of the world’s most powerful supercomputers, announced at the 2019 International Supercomputing Conference in Frankfurt, Germany.

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LLNL and the Livermore Lab Foundation may establish a consortium to leverage the Lab’s computing capabilities to identify causal factors for amyotrophic lateral sclerosis, or Lou Gehrig’s disease.

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Next-generation computing systems are projected to surpass the speed of today's supercomputers by 5–10 times. This article explains OpenMP-relevant initiatives under the Exascale Computing Project.

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NFL officials visited LLNL to hear how national labs are using HPC and AI to advance scientific understanding of traumatic brain injury.

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Fred Streitz explains LLNL's work to exploit the relationship between simulation and experiments to build predictive codes.

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LLNL physicists designing new laser systems and modeling laser performance now have a powerful new tool in their hands with the Virtual Beam Line++ (VBL++) code.

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The 2019 Department of Energy (DOE) Performance, Portability and Productivity meeting is slated for April 2–4, 2019, in Denver, CO, where attendees will have the opportunity to share ideas and updates on performance portability.

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Computer scientists, biomedical engineers, cancer biologists, and bioinformaticians from 8 DOE labs, health agencies, and universities advance cancer research through computation.

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In this video from the 2019 Stanford HPC Conference, LLNL's Rob Neely presents "Sierra – Science Unleashed." Sierra is NNSA’s first large-scale production heterogeneous system.

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The HPC for Manufacturing Program (HPC4Mfg) announced the recipients of $1.2 million in federal funding for projects aimed at solving key manufacturing challenges through supercomputing.

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Held in Washington, DC, the Earth System Grid Federation’s 8th annual face-to-face conference was a lively, fruitful affair.

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LLNL heads to the SIAM Conference on Computational Science and Engineering (CSE19) in Spokane, Washington, on February 25 to March 1, 2019.

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The “best in class” award was for the Accelerating Therapeutics for Opportunities in Medicine (ATOM) consortium, which aims to use HPC to accelerate drug development.

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In this career profile, CASC architect Tom Epperly describes NIF's Virtual Beam Line code and his penchant for solving software programming problems.

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LLNL has successfully deployed power distribution grid simulation software on an HPC system, taking a key step toward creating a commercial tool that utilities could use to modernize the grid.

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Highlights include debris an shrapnel modeling at NIF, scalable algorithms for complex engineering systems, magnetic fusion simulation, and data placement optimization on GPUs.

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AIMS (Analytics and Informatics Management Systems) develops integrated cyberinfrastructure for big climate data discovery, analytics, simulations, and knowledge innovation.

Project

In response to a DOE grid optimization challenge, the LLNL-led gollnlp team is developing the mathematical, computational, and software components needed to solve problems of the real-world power grid.

Project

Highlights include complex simulation codes, uncertainty quantification, discrete event simulation, and the Unify file system.

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When computer scientist Gordon Lau arrived at Lawrence Livermore more than 20 years ago, he was a contractor assigned to a laser isotope separation project.

People Highlight

The NIF Computing team plays a key role in this smoothly running facility, and computer scientist Joshua Senecal supports multiple operational areas.

People Highlight