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.
Topic: Cyber Security
A novel ML method discovers and predicts key data about networked devices.
Collaborative autonomy software apps allow networked devices to detect, gather, identify and interpret data; defend against cyber-attacks; and continue to operate despite infiltration.
Computing’s annual Developer Day held a hybrid event on July 21 with lightning talks, a town hall discussion, and guest speakers.
Since 2018, software developer Trevor Smith has been putting his education and computing skills to good use supporting the Lab's HPC environment. He helps develop, deploy, and manage systems software that enables effective and secure use of computing resources.
LivIT tackles challenges of workforce safety, telecommuting, cyber security protocols, National Ignition Facility software updates, and more.
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.
Highlights include response to the COVID-19 pandemic, high-order matrix-free algorithms, and managing memory spaces.
PDES focuses on models that can accurately and effectively simulate California’s large-scale electric grid.
Juan Ramos discovered a professional calling in computer networking, security, and information technology while in the Marines.
Master Block List is a service and data aggregation tool that aids Department of Energy facilities in creating filters and blocks to prevent cyber attacks.