Floating Point Compression
High-precision numerical data from computer simulations, observations, and experiments is often represented in floating point and can easily reach terabytes to petabytes of storage.
ESGF
The Earth System Grid Federation is a web-based tool set that powers most global climate change research.
COVID-19 R&D
From molecular screening, a software platform, and an online data to the computing systems that power these projects.
Kevin McLoughlin
Kevin McLoughlin has always been fascinated by the intersection of computing and biology. His LLNL career encompasses award-winning microbial detection technology, a COVID-19 antiviral drug design…
Brian Gallagher
Brian Gallagher works on applications of machine learning for a variety of science and national security questions. He’s also a group leader, student mentor, and the new director of LLNL’s Data…
Nisha Mulakken
Nisha Mulakken is advancing COVID-19 R&D and mentoring the next generation. “The opportunities we are exposed to early in our careers can shape the limits we place on ourselves and our…
Machine learning tool fills in the blanks for satellite light curves
MuyGPs helps complete and forecast the brightness data of objects viewed by Earth-based telescopes.
WiDS Livermore returns for two events
The Lab is hosting two related WiDS events: First is a datathon on February 28, then the annual regional conference on March 13. These hybrid events are free and open to everyone.
Conference paper illuminates neural image compression
New research reveals subtleties in the performance of neural image compression methods, offering insights toward improving these models for real-world applications.