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.

Data Science Institute: Enabling Excellence in Research and Applications

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.

Jarom Nelson writes HPC simulation software to solve scientific problems and support the nation’s security

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.


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