This $256,710 National Science Foundation award under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project led by the University of Texas at Austin. The project investigates full-stack implementation methodologies for developing expressive programming systems that bridge the gap between high-level specifications and high-performance implementations of complex reasoning tasks at scale. Key focus areas include extending declarative programming capabilities to handle structured, higher-order, and probabilistic data formulations, and deploying these systems on next-generation exascale computing platforms. The project aims to develop open-source tools, languages, and frameworks to enable scalable reasoning across application domains such as precision medicine, stochastic modeling, software verification, graph analytics, and security. This 5-year project runs from August 1, 2023 to July 31, 2028.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $256.7k | 7/18/23 |