This National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award to Saint Louis University provides $174,666 from August 1, 2025 to July 31, 2027 to develop a "Scalable and Efficient Adaptive Mixed-Precision Framework for Scientific and AI Workloads on GPUs" (SEAM). The SEAM framework will optimize performance for scientific and artificial intelligence workloads across heterogeneous GPU systems by applying adaptive mixed-precision techniques. This work aims to enable breakthroughs in diverse domains like climate science, healthcare, and national defense by accelerating computational capabilities and advancing scientific discoveries. The project will leverage task-based runtime systems and provide Julia programming interfaces to ensure efficiency, scalability, and ease of use. No sub-awards are planned for this project.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $174.7k | 1/14/25 |