DOE is interested in receiving research applications to explore potentially high-impact approaches in the development and use of data reduction techniques and algorithms to facilitate more efficient analysis and use of massive data sets produced by observations, experiments and simulation.
Research proposed may involve methods primarily applicable to high-performance computing, to scientific edge computing, or anywhere scientific data must be collected or processed. Significant innovations will be required in the development of effective paradigms and approaches for realizing the full potential of data reduction for science. Proposed research should not focus only on particular data sets from specific applications, but rather on creating the body of knowledge and understanding that will inform future scientific advances.
Proposals should support applied mathematics and computer science approaches that address one or more of the identified priority research directions:
- Effective algorithms and tools that can be trusted by scientists for accuracy and efficiency,
- Progressive reduction algorithms that enable data to be prioritized for efficient streaming,
- Algorithms which can preserve information in features and quantities of interest with quantified uncertainty, and
- Mapping techniques to new architectures and use cases.
Please note that application requirements for this competition differ from standard Limited Submission requirements.
Institutional Limit: 2 Preapplications
Internal Deadline: March 6, 2024, 4:45pm
Funder Preapplication Deadline: March 19, 2024, 5:00pm ET
