Data science has become an essential discipline paving the path of LLNL’s key program areas, and the Laboratory is home to some of the largest, most unique, and most interesting data and supercomputers in the world. The Data Science Institute (DSI) is the central hub for all data science activity at LLNL working to help lead, build, and strengthen the data science workforce, research, and outreach to advance the state-of-the-art of our nation’s data science capabilities.
Data Analytics and Management
Data Analytics and Management is the branch of computer science that is concerned with extracting usable information from data. At LLNL, we’re working with data in many forms: text, images, videos, semantic graphs, and more. This data may be “at rest” in files or databases, or “in motion” as it streams in from sensors or other live sources. Our informatics research aims to gain insight from data that is very large, geographically distributed, complex, fast moving, or some combination of these characteristics. Applications for this work span a wide range of LLNL missions, including energy security and efficiency, biosecurity, computer security, and climate change. View content related to Data Analytics and Management.
Three papers address feature importance estimation under distribution shifts, attribute-guided adversarial training, and uncertainty matching in graph neural networks.
As group leader and application developer in the NIF Computing Applications Division (NIFC), Jarom has been working on the development and release of VBL++ (Virtual Beamline), the next-generation laser physics code that will enable simulations to utilize high performance computing (HPC) to simulate short-pulse and broad-spectrum lasers, and tackle even bigger scientific problems.
LLNL’s Computing Directorate heads to the 32nd annual Supercomputing Conference (SC20) held virtually on November 9–19. Although the format is different this year, we’re turning out in full force.
This summer, the Computing Scholar Program welcomed 160 undergraduate and graduate students into virtual internships. The Lab’s open-source community was already primed for student participation.
Computing’s summer hackathon was held virtually on August 6–7 and featured presentations from teams who tested software technologies, expanded project features, or explored new ways of analyzing data.
Computing employees play a critical role in supporting the Environmental Restoration Department; Environment, Safety, and Health; and Radioactive and Hazardous Waste Management.