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PROJECTS
Performance data mapped onto the material mesh from the LULESH hydrodynamics application

Machine Learning

LLNL computer scientists use machine learning to model and characterize the performance and ultimately accelerate the development of adaptive applications.

AI/ML | Data Science | HPC Systems and Software | Performance, Portability, and Productivity
PROJECTS
two CT images

CT Image Enhancement

Researchers are developing enhanced computed tomography image processing methods for explosives identification and other national security applications.

AI/ML | Data Science
PROJECTS
Visualization of two maxima, as was found in NIF topological analysis

Topological Analysis

LLNL and University of Utah researchers have developed an advanced, intuitive method for analyzing and visualizing complex data sets.

Computational Math | Data Management | Data Science | Scientific Visualization
PROJECTS

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NEWS
regular and winter hexagonal hackathon logos side by side

Celebrating 10 years of hackathons

September 7, 2022

View an LLNL Flickr album of hackathon photos throughout the years.

Data Science | Hackathons | Software Engineering | Students
NEWS
group of diverse Computing employees posing at the Lab's 2019 Tapia Conference recruiting booth

Tapia2022 event calendar

September 5, 2022

Lawrence Livermore will participate in the CMD-IT/ACM Richard Tapia Celebration of Diversity in Computing Conference (Tapia2022) on September 7–10.

Careers | Data Science | DevOps | Diversity | Events
NEWS
composite of an electricity smart meter and electricity transmission lines

GridDS: An open-source, data-science toolkit for energy

August 2, 2022

More than 100 million smart meters have been installed in the U.S. to record and communicate electric consumption, voltage, and current to consumers and grid operators. LLNL has developed GridDS to help make the most of this data.

AI/ML | Critical Infrastructure | Data Management | Data Science | Open-Source Software
NEWS

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