LLNL’s cyber programs work across a broad sponsor space to develop technologies that address the most sophisticated cyber threats directed at disrupting our national security communities and civilian critical infrastructure.
Topic: Critical Infrastructure
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Highlights include power grid challenges, performance analysis, complex boundary conditions, and a novel multiscale modeling approach.
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Highlights include response to the COVID-19 pandemic, high-order matrix-free algorithms, and managing memory spaces.
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AI/ML | Biology/Biomedicine | Computational Math | Computational Science | Critical Infrastructure | Cyber Security | Data Movement and Memory | Data Science | Discrete Mathematics | Emerging Architectures | HPC Systems and Software | Open-Source Software | Performance, Portability, and Productivity | Resource and Workflow Management
LLNL bested more than two dozen teams to place first overall in Challenge 1 of the DOE Grid Optimization Competition, aimed at developing a more reliable, resilient, and secure U.S. electrical grid.
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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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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.
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