This federal Project Grant award, with a total funding amount of $225,537, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant aims to develop methods and techniques to preserve time predictability in real-time computing systems, even when traditionally predictable aspects become unpredictable due to the integration of artificial intelligence (AI) and high-performance computing (HPC) advancements. The project will produce new system models, scheduling algorithms, analysis frameworks, prototypes, and tools to enable the design and implementation of highly functional, resource-efficient, and predictably reliable real-time systems. These advancements are expected to be pivotal for sectors such as autonomous vehicles, industrial control systems, and financial trading platforms, where timing and reliability are critical. The award has an ultimate completion date of June 30, 2030 and is being performed by Texas State University, a public research university recognized as a Hispanic-Serving Institution.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $225.5k | 3/21/25 |