LLNL’s cyber programs work across a broad sponsor space to develop technologies addressing sophisticated cyber threats directed at national security and civilian critical infrastructure.
Topic: Critical Infrastructure
Project
Highlights include power grid challenges, performance analysis, complex boundary conditions, and a novel multiscale modeling approach.
News Item
Highlights include response to the COVID-19 pandemic, high-order matrix-free algorithms, and managing memory spaces.
News Item
AI/ML | Biology/Biomedicine | Computational Math | Computational Science | Critical Infrastructure | Cyber Security | Data Movement and Memory | Data Science | Deep Learning | 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.
News Item
Responding to a DOE grid optimization challenge, an LLNL-led team developed the mathematical, computational, and software components needed to solve problems of the real-world power grid.
Project