This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $530,704 to Florida International University (FIU) to conduct research on improving tiered memory management in in-memory databases and analytic frameworks using machine learning. The key objectives are to: (1) design new tiered memory management techniques that leverage machine learning to optimize performance, quality of service, and resource utilization; (2) develop interactive frameworks to allow users to configure tiered memory systems for their workloads; and (3) derive ML models to predict future workload patterns and proactively configure the tiered memory systems. The research findings will be disseminated through academic programs, industry collaborations, and an open-access web-based portal. This project aims to make empirical contributions to the system-ML co-design space and address challenges in managing large-scale, memory-intensive applications.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $16.0k | 12/30/23 | ||
| Not listed | $514.7k | 9/7/23 |