Project Grant 2542973
- This $263,399 federal Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant funds a research project titled "CAREER: Towards Data-Driven, Robust, and Versatile Online Resource Allocation" at the Georgia Tech Research Corporation (GTRC). The project aims to develop innovative algorithms for online resource allocation, a fundamental challenge across computer science, operations...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded Georgia TECH Research Corp a CAREER (Faculty Early Career Development) grant totaling $599,972 on June 15, 2025, with a completion date of May 31, 2030. Under CFDA 47.041 (Engineering), this project grant supports the development of multifidelity scientific machine learning methods that integrate high- and low-fidelity simulation data to generate accurate predictive...
- Federal Grant Award Summary Georgia TECH Research Corp received a $574,930 Faculty Early Career Development (CAREER) Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective July 1, 2025 through June 30, 2030. The award funds the development of an integrated robot learning and planning system that enables service robots to rapidly acquire and adapt new...
- Federal Grant Award Summary Georgia TECH Research Corp received a $270,000 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (CISE Program, CFDA 47.070) effective October 1, 2025, through September 30, 2028. This collaborative research initiative focuses on developing scalable GPU (Graphics Processing Unit) simulation techniques and advanced memory management strategies specifically optimized for large-scale machine learning workloads. The...
- Summary of Federal Project Grant Award The University of Florida received a $237,218 project grant awarded October 1, 2025, through the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), administered by the Division of Computing and Communication Foundations. This CAREER-track award supports research and educational activities addressing heterogeneous elastic cloud computing challenges, with completion targeted for January 31, 2027. The...
- Federal Grant Award Summary Award Details: Georgia Tech Research Corporation received $149,839 in funding under an EAGER (Early-Concept Grant for Exploratory Research) Project Grant from the National Science Foundation's Engineering program (CFDA 47.041), Division of Civil, Mechanical, and Manufacturing Innovation. The award period runs from August 1, 2025, through July 31, 2026. Products and Services: This project translates artificial intelligence research from the National AI Institute for...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded Georgia TECH Research Corp a collaborative research project grant totaling $297,881 on August 1, 2025, with a completion date of July 31, 2028, under the Engineering program (CFDA 47.041). The research delivers advanced theory and computational algorithms for controlling distributions in large-scale dynamical systems, addressing critical gaps in precision...
- Federal Grant Award Summary Georgia TECH Research Corp received a $120,000 Project Grant from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships program (CFDA 47.084), effective October 1, 2025, through September 30, 2029. This collaborative research initiative addresses critical thermal management challenges in three-dimensional (3D) heterogeneous computing systems designed for artificial intelligence (AI) workloads. The research team will develop an...
- Federal Grant Award Summary Georgia TECH Research Corp received a $635,530 Project Grant from the National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded June 15, 2025, with completion targeted for May 31, 2030. This CAREER award funds research on breaking chemical scaling relations to enable efficient catalytic conversion of carbon dioxide (CO2) into higher-value fuels and chemicals using electrochemical cells powered by renewable energy sources. The project combines...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $358,200 Computer and Information Science and Engineering (CFDA 47.070) Project Grant to the University of Maryland, College Park, effective June 1, 2026 through May 31, 2031. This CAREER award funds the development of an approximation-first telemetry architecture for hyperscale networked systems that addresses the critical challenge of monitoring large-scale...
Georgia TECH Research Corp received a $348,081 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective June 1, 2026 through May 31, 2031. This CAREER award supports research to develop integrated load and resource management systems for high-utilization datacenters. The project delivers research advances in coordinating resource allocation and load distribution across cloud computing infrastructure, enabling servers to determine optimal workload acceptance within microseconds and distribute incoming requests more efficiently across hardware resources without requiring continuous hardware expansion. The research is organized around three primary technical thrusts: developing unified mechanisms to track per-request resource usage and enforce admission decisions across shared system bottlenecks; integrating admission control with operating system scheduling to jointly manage application load and resource allocation; and establishing cross-layer coordination abstractions that enhance visibility into application behavior while minimizing performance overhead. These deliverables address the fundamental challenge of inefficient resource utilization in modern cloud services by replacing independent control mechanisms with a coordinated framework that reacts rapidly to dynamic workload changes, ultimately improving cloud service performance and cost-efficiency without proportional increases in hardware investment.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $348.1k | 5/13/26 |