Groups

Delivering advanced scientific applications with best-in-class methods, design, and implementation

Evaluating emerging computing architectures for scientific discoveries

Exploring novel computing technologies for post exascale era

Innovate and analyze scalable algorithms for advancing scientific discovery

Develops Innovative Analytical Methods for Understanding Large and Complex Data

Enabling science through advancing computational capabilities for HPC

Developing algorithms and foundations for data analysis and machine learning

Engineering data assets to drive innovation in science and national security

Scientific and regulatory integrated data management solutions

Developing novel algorithms and foundations for discrete structures, including AI, graph algorithms and discrete optimization

Model, compute and analyze advanced man-made systems & processes

Understanding the impact of emerging computing technologies on applications

Addressing system software challenges for scientific instruments and facilities

Creating scalable tools to build models from data

Developing algorithms and foundations for methods spanning multiple time and length scales

Optimizing data applications and systems for advanced platforms to accelerate discovery

Exploring programming models, languages, and translation tools

​Accelerating Discovery through Next-generation Scientific Software

Researching and Developing Technologies for Extracting Knowledge from Scientific Data

Engineering the next generation of high-quality scientific software

Developing algorithms and foundations for engineered systems

Research and development of scalable, intelligent visualization and analytics for complex data

Optimizing the end-to-end management of scientific data to enable knowledge discovery