Simulation workflows for Arbitrary Lagrangian–Eulerian (ALE) methods are highly complex and often require a manual tuning process. There is an urgent need to semi-automate this process to reduce user burden and improve productivity. To address this need, we are developing novel predictive analytics for simulations and an in situ infrastructure for integration of analytics. Our ongoing goals are to predict simulation failures ahead of time and proactively avoid them as much as possible.
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.
Computation’s spring hackathon provides a venue to explore new ideas, skills, prototypes, and projects. Also, there’s a unicycle.
CASC conducts world-class scientific research and development on problems critical to national security.
At just 5 years old, Marisol Gamboa, the oldest of six siblings to Mexican immigrants, decided she was definitely going to college.
The Department of Homeland Security (DHS) established the Biodefense Knowledge Center (BKC) at Lawrence Livermore National Laboratory in 2004 to provide technical assessments and data analysis tools that help the national security community anticipate, prevent, and characterize an attack using biological agents.
Newly developed mathematical techniques reveal important tools for data mining analysis.
StarSapphire is a collection of scientific data mining projects focusing on the analysis of data from scientific simulations, observations, and experiments.
LLNL’s Celeste Matarazzo talks about the need for diversity in cyber defense.
The Earth System Grid Federation is a web-based tool set that powers most global climate change research.