Topic: Computational Science

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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Ryan Chen, LLNL data analyst and visualization technologist, has developed a model called the RDD Studio that provides a detailed simulation of an optimal response to a radiological dispersal device.

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In the recently launched MTV Consortium, the Lab and academia join forces to address crucial global security challenges.

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LLNL’s brain-on-a-chip may offer an effective way to evaluate the organ’s response to threats. Data analytics and HPC modeling help scientists better understand neuronal networks.

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LLNL is home to several supercomputers, including Sierra, the world's second fastest. PCMag stopped by to find out how these computers handle virtual nuclear weapons tests and weather modeling.

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Researchers from Lawrence Livermore and Berkeley Labs are using supercomputers to quantify earthquake hazard and risk across the Bay Area.

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The HPC4EI program announced 9 public/private projects awarded more than $2 million from the DOE. This program is the umbrella entity for the HPC4Mfg and HPC4Mtls programs, headed out of LLNL.

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Simulation workflows for Arbitrary Lagrangian–Eulerian (ALE) methods are highly complex and often require a manual tuning process. There is an urgent need to semi-automate this process to reduce user burden and improve productivity. To address this need, we are developing novel predictive analytics for simulations and an in situ infrastructure for integration of analytics. Our ongoing goals are to predict simulation failures ahead of time and proactively avoid them as much as possible.

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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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