Project Grant 2529763
- 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...
- This federal Project Grant award of $274,636 was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Rensselaer Polytechnic Institute (RPI). The project aims to develop methods to reduce energy consumption in large-scale artificial intelligence (AI) systems through an approach called "elastic algorithm-architecture co-design." Key objectives include leveraging dynamic model connectivity to minimize...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant, awarded on May 1, 2025 for $409,403, supports research at Auburn University to develop AI/machine learning-assisted system and package-level co-design methodologies to optimize power, performance, chip area, reliability, and cost of next-generation AI hardware. The key goals are to generate knowledge and scientific methods to optimize multi-tier chiplet-based system architectures,...
- This Project Grant award of $450,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop novel approaches to electronic design automation (EDA) for creating high-performance and efficient computer hardware. The research introduces a strategy that combines formal techniques with learning-based optimization to enable differentiable hardware synthesis, particularly suited for heterogeneous computing. This new...
- This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program, CFDA #47.070, provides $600,000 to Duke University to develop a hardware/software co-design framework for sustainable computing systems. The framework aims to generate optimal hardware and algorithm designs that meet constraints of functionality, performance, sustainability, and other requirements. It will guide future sustainable hardware design and establish a holistic...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $1,200,000 to Purdue University to develop scalable and ultra-low-power neural accelerators based on 2D ferroelectric semiconductors. The research aims to address hardware needs for future artificial intelligence (AI) platforms by utilizing the unique properties of ferroelectric semiconductors to design energy-efficient circuits and...
- This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop strategies for efficiently leveraging idle resources in high-performance computing (HPC) systems to accelerate large-scale artificial intelligence (AI) workloads. The key objectives are to: 1) analyze patterns of idle resources in HPC environments, 2) develop methods to safely and rapidly harvest these idle resources, and...
- 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 $300,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program will support Brown University's efforts to accelerate the adoption of open-source tools for designing energy-efficient artificial intelligence (AI) hardware systems. The project aims to establish a sustainable ecosystem for modular, transparent, and reusable hardware design through collaboration with stakeholders. Key objectives include...
- This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), aims to revolutionize artificial intelligence (AI) training through the development of a novel chip architecture called Co-FABPRO (Concurrent Forward and Backward Propagation). The $200,000 award, with a project period from October 1, 2024 to September 30, 2026, seeks to create a disruptive approach that will make AI...
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 structured design space representation, data- and workload-aware design strategies, and backend-aware optimization using predictive register-transfer level (RTL) modeling and multi-fidelity Bayesian optimization. This work is expected to achieve an order-of-magnitude improvement in energy efficiency and significantly reduce the time and effort needed to produce high-performance, low-power AI hardware, thereby accelerating the deployment of efficient AI systems and making advanced AI capabilities more broadly accessible and sustainable. The award has an ultimate completion date of September 30, 2028 and is being led by Rutgers, The State University, a prominent public research university.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/18/25 |