Project Grant 2529764
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with a total funding amount of $300,000, aims to develop HEXAI, a comprehensive design automation framework for next-generation AI accelerators. The project will address key challenges in AI hardware design by integrating architectural optimization, workload and data-awareness, and backend circuit synthesis into a unified framework. Key innovations include a...
- The Texas A&M Engineering Experiment Station (doing business as Tees) was awarded a $375,930 Project Grant from the National Science Foundation Division of Information and Intelligent Systems on September 15, 2021 to support research under the Computer and Information Science and Engineering program (CFDA #47.070). Tees will conduct collaborative research on developing a comprehensive dynamic search framework for asynchronous multi-objective multi-agent planning. This work advances the...
- The National Science Foundation Division of Computing and Communication Foundations awarded a $250,000 Project Grant to the Texas A&M Engineering Experiment Station (doing business as Tees) to support research titled "SHF: SMALL: COMMUNICATION ARCHITECTURE DESIGNS FOR FUTURE HETEROGENEOUS SYSTEMS." The grant period runs from November 1, 2021 to April 30, 2023. The funding supports investigator-initiated research and education in all areas of computing, communications, and...
- The Texas A&M Engineering Experiment Station (Tees) received a $588,959 National Science Foundation Project Grant under the Computer and Information Science and Engineering program to mature Gramin, an open-source confidential computing framework, from 2017-2022. Tees aims to improve Gramin's usability, compatibility, and trustworthiness to accelerate adoption for cloud computing applications involving sensitive data. Specifically, Tees will expand the number of systems and applications...
- This $300,000 Project Grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Texas A&M Engineering Experiment Station (Tees) for the period of July 1, 2024 to June 30, 2027. The grant supports the development of a new type of "Quantized-Analog Error-Correcting Code (QA-ECC)" to enable reliable in-memory computing for next-generation artificial intelligence (AI) systems. The research aims to...
- This $299,886 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop new big data algorithms that are robust to adversarial input. The award supports research to address emerging vulnerabilities in areas such as black-box streaming algorithms, white-box streaming algorithms, and adaptive data analysis with bounded space. This work will focus on improving the reliability, security, and trustworthiness of...
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $491,583 to the Texas A&M Engineering Experiment Station (Tees) to develop a comprehensive education and hands-on training program that integrates computational materials science (CMS), machine learning/artificial intelligence techniques, and accelerated high-performance computing. The program aims to equip the future workforce with cutting-edge skills to drive innovation in...
- The National Science Foundation Division of Materials Research awarded a $1.8 million Project Grant to the Texas A&M Engineering Experiment Station (doing business as Tees) to support the "DMREF: AI-GUIDED ACCELERATED DISCOVERY OF MULTI-PRINCIPAL ELEMENT MULTI-FUNCTIONAL ALLOYS" project. The funding period is from October 1, 2021 to September 30, 2025. Under this award, Tees will utilize artificial intelligence-guided methods to rapidly discover new multi-principal element alloys...
- The National Science Foundation awarded a $554,576 Project Grant to the Texas A&M Engineering Experiment Station (doing business as Tees) to support research titled "CAREER: PARTITIVE SOLID GEOMETRY FOR COMPUTER-AIDED DESIGN: PRINCIPLES, ALGORITHMS, WORKFLOWS, & APPLICATIONS" from August 1, 2021 through July 31, 2026. The grant is funded through the NSF's Engineering program (CFDA 47.041), which seeks to improve quality of life and economic strength by fostering innovation...
- This $800,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to pioneer a computing system for massive AI workloads. The project will develop new architectural and design automation tools for a reconfigurable-on-package system using "tiny chiplets" - miniaturized composable computing components. This innovative approach seeks to address the challenges related to chiplet definition,...
This Project Grant award of $300,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports collaborative research on the "HEXAI: Holistic Exploration for Design Automation of Efficient AI Accelerators" at Texas A&M Engineering Experiment Station (Tees). The award, with a performance period from October 1, 2025 to September 30, 2028, will fund research aimed at advancing scientific knowledge and technological innovation in the field of efficient AI accelerator design automation. Tees, a prominent state government research institution, will lead this project without any planned sub-awards. The CISE program supports fundamental and applied research across a broad spectrum of computational domains, including artificial intelligence, cybersecurity, and emerging technologies.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/18/25 |