PROJECTS
Legacy
Sapphire
Drawing from data mining, image and video processing, statistics, and pattern recognition, these computational tools improve the way scientists extract useful information from data.
Legacy
LOCAL
This project's techniques reduce bandwidth requirements for large unstructured data by making use of data compression and optimizing the layout of the data for better locality and cache reuse.
Data-Intensive Computing Solutions
New platforms are improving big data computing on Livermore’s high performance computers.
NEWS
UC Merced students work with LLNL mentors on potential new drugs to combat COVID-19
For the first time in the DSC series since the COVID-19 pandemic began in 2020, Lab mentors visited the college campus to provide in-person guidance for five teams of UC Merced students.
Brase discusses advances by ATOM in accelerating drug discovery pipeline
The Accelerating Therapeutic Opportunities in Medicine (ATOM) consortium is showing “significant” progress in demonstrating that HPC and machine learning tools can speed up the drug discovery process, ATOM co-lead Jim Brase said at a recent webinar.
CASC team wins best paper at visualization symposium
A research team from LLNL’s Center for Applied Scientific Computing (CASC) won Best Paper at the 15th IEEE Pacific Visualization Symposium (PacificVis), which was held virtually on April 11–14.