This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award for $203,796 aims to accelerate the execution of large graph problems on large, distributed machines such as those found in datacenters. The project, led by Texas A&M Engineering Experiment Station (Tees), focuses on three interdependent thrusts: developing new algorithms for graph problems, creating a software framework for efficient execution of these problems, and designing novel hardware accelerators. The award supports research across computational biology, social network analysis, and software verification domains, with the goal of enabling faster and more energy-efficient solutions to these complex graph-based problems. Additionally, the project includes an educational program to teach computer science to high school, undergraduate, and graduate students, with an emphasis on students from disadvantaged backgrounds. The award period runs from May 15, 2025 to July 31, 2028.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $203.8k | 6/11/25 |