This $1,200,000 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant, awarded on September 15, 2025, supports a multi-university collaboration led by Tennessee Technological University to enhance the performance and productivity of large-scale artificial intelligence (AI) applications. The project, titled "MPI4AI: Enhancing Performance and Productivity of AI Science Through Next-Generation High Performance Communication Abstractions," aims to improve the Message Passing Interface (MPI), a widely used standard for coordinating computations across parallel systems. Key enhancements include native GPU communication support, AI-specific collective communication operations, and fault-tolerant mechanisms to improve resilience and resource efficiency. By advancing the open-source Open MPI implementation and driving standardization of these improvements into future MPI versions, the project will enable researchers to more effectively express and run their AI algorithms, while also benefiting a broader range of parallel computing use cases.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $1.2m | 6/23/25 |