Project Grant 2530649
- The National Science Foundation (NSF) awarded Clemson University a $450,030 project grant under the Computer and Information Science and Engineering (CFDA 47.070) program. The 5-year grant, commencing on October 1, 2025, aims to investigate and mitigate information leakage threats in real-world GPU-as-a-Service (GPUaaS) cloud environments. The project will focus on uncovering side-channel attacks that exploit GPU microarchitectural components, conducting measurement studies of GPU resource...
- The National Science Foundation (NSF) awarded a $597,771 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Nevada, Reno (UNR) to establish a state-of-the-art graphical processing unit (GPU)-based high-performance computing infrastructure (HPCI). This initiative will advance research in efficient and scalable multi-modal artificial intelligence (AI) by enabling the development of next-generation AI models and data workflows to...
- This three-year National Science Foundation project grant of $546,610 will fund the development of static verification tools to improve the accessibility, correctness, and performance of graphics processing unit (GPU) programming. Awarded on June 1, 2022 to the University of Massachusetts Boston under the Computer and Information Science and Engineering program (CFDA 47.070), the project aims to advance the state of the art in static verification for GPUs and other accelerator architectures. Key...
- This two-year National Science Foundation project grant of $137,683 aims to enhance the reliability and privacy of graphics processing unit (GPU)-based deep learning computing. Funded under the Computer and Information Science and Engineering program, the award supports research at West Virginia University to address vulnerabilities in GPU architecture and design lightweight protection schemes. Specifically, the university researchers will explore vulnerabilities impacting GPU-based deep...
- This $299,700 Project Grant was awarded on September 15, 2025 by the Division of Information and Intelligent Systems, a civilian agency within the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The grant supports collaborative research by the University of Texas at Austin to address challenges in designing and verifying heterogeneous shared memory processors used in critical computational applications like...
- This federal Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $549,999 to Arizona State University to develop automated methods for near-hardware run-time optimization, bug repair, and program synthesis. Specifically, the university will adapt higher-level automated program improvement techniques to optimize general-purpose GPU code runtimes,...
- The National Science Foundation (NSF) awarded a $1,190,000 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to Duke University for the "NCSHARE Accelerating Impact - GPUs-as-a-Service (NCSHARE AI-GAAS)" project. This project will create a powerful, horizontally scalable GPU cluster that will be virtualized and shared across research and education institutions in North Carolina. The goal is to improve access to GPU resources, enabling...
- This $397,299 Project Grant awarded by the National Science Foundation's (CFDA 47.083 Integrative Activities) program will provide Fordham University with a high-performance GPU computing cluster. This equipment will modernize Fordham's scientific computing infrastructure and support advanced research and education across multiple disciplines, including computer science, neuroscience, security, economics, chemistry, statistics, and psychology. The GPU cluster, featuring approximately 12 NVIDIA...
- This $270,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support the development of scalable simulation techniques and advanced memory management strategies for large-scale machine learning workloads on graphics processing units (GPUs). The research aims to address challenges presented by the rapid growth in size and complexity of modern machine learning models, such as prolonged simulation times and...
- This $400,000 Project Grant was awarded on August 1, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The grant is funding collaborative research by the University of Southern California (USC) to develop a scalable framework for high-assurance design of safety-critical and mission-critical cooperative autonomous agents, such as warehouse robots, delivery robots, drones, and self-driving...
This $599,943 federal Project Grant was awarded on December 1, 2025 by the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) to the University of Rochester. The grant funds a 3-year research project titled "SECURING GPU COMPUTING FOR AI-DRIVEN SCIENTIFIC WORKFLOWS - ENHANCING MEMORY SAFETY IN GRAPHICS PROCESSING UNITS (GPUS)". The project aims to strengthen the security of GPU software used in AI-driven scientific computing by developing a fuzzing-based framework to detect and repair memory safety vulnerabilities, as well as lightweight software-based runtime defenses to prevent common memory safety attacks. This research is expected to enhance the security and reliability of AI-powered scientific workflows across multiple domains, while also opening new directions in GPU security methodologies.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $599.9k | 7/25/25 |