Highlights include response to the COVID-19 pandemic, high-order matrix-free algorithms, and managing memory spaces.
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.
As LLNL’s NIF enters its second decade of full-scale operations, the demands on all aspects of its information technology (IT) infrastructure are becoming more varied, complex, and critical.
Protecting sensitive information has always been critical to Lawrence Livermore’s national security missions. In the digital age, a well-guarded door is not enough.
Livermore’s OneID system moves the Department of Energy toward industry’s trend of decentralized, controlled infrastructure where identity becomes the primary security boundary.
Two LLNL computer scientists with promising technologies have taken part in a national organization’s commercialization program that pairs researchers with entrepreneurs.
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.
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.
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.