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
Developing algorithms and foundations for data analysis and machine learning
Engineering data assets to drive innovation in science and national security
Developing novel algorithms and foundations for discrete structures, including AI, graph algorithms and discrete optimization
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
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