Project Grant 2414087
- This Project Grant award of $175,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support research by the College of William & Mary to advance sustainable software engineering practices with energy-efficient large language models for code. The project aims to optimize training data and apply model compression techniques to reduce the computational costs and environmental impact of large language models used in...
- The National Science Foundation (NSF) awarded a $599,410 Project Grant to Carnegie Mellon University (CMU) to develop a collaborative learning framework for dynamic and diverse computing environments, particularly focused on edge devices. The grant, under NSF's Computer and Information Science and Engineering program (CFDA 47.070), aims to innovate model-parallel collaborative learning by designing unique model architectures and efficient algorithms, facilitate practical on-device training and...
- This $618,159 National Science Foundation project grant supports research into developing energy-efficient hardware and software for machine learning and artificial intelligence systems. Funded under the Computer and Information Science and Engineering program, the award supports The Washington University in investigating frameworks using quantum-tunneling dynamic-analog memory devices and novel online learning algorithms. Specific objectives include exploring Fowler-Nordheim dynamic analog...
- This National Science Foundation (NSF) CISE Federal Grant Award (CFDA 47.070) in the amount of $200,000 will fund a collaborative research project between U.S. and Indian researchers to develop energy-efficient computation and communication methods for large language models (LLMs). The project aims to enhance the efficiency of training and inference for LLMs, which are crucial for advanced AI applications but are energy-intensive. By leveraging emerging high-speed networks and Compute Express...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant to Carnegie Mellon University under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The 3-year project, running from June 1, 2025 to May 31, 2028, aims to investigate the computational mechanisms underlying a recently discovered neural process in the brain - the ability of neurons in the early visual cortex to rapidly form local recurrent circuits. The project seeks to...
- The National Science Foundation (NSF) awarded a $675,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Carnegie Mellon University. The grant, spanning October 2025 to September 2028, aims to improve the ability of Large Language Models (LLMs) to generate high-quality computer source code by deeply integrating program analysis techniques into the LLM lifecycle, including training, code generation, and evaluation. The project will develop novel...
- 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 $899,996.00 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop practical tools for modeling and analyzing the energy management and timing of intermittent systems. The 4-year project, running from October 1, 2025 to September 30, 2029, will be led by Carnegie Mellon University (CMU). The key objectives are to create probabilistic programming techniques to model and formally analyze the energy use...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $274,636 to Rensselaer Polytechnic Institute (RPI) to conduct research on developing energy-efficient and scalable artificial intelligence (AI) systems. The key objectives are to: 1) leverage dynamic connectivity in AI models to reduce redundancy and energy consumption, 2) explore heterogeneous architectures integrating approximate,...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $200,000 to The Ohio State University to conduct research aimed at enhancing the energy efficiency of large language models (LLMs) used in advanced artificial intelligence applications. The key goals of this 3-year project are to: 1) identify and characterize idleness in LLM workloads, 2) leverage dynamic voltage and frequency scaling to...
The National Science Foundation (NSF) awarded a $599,995 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) federal grant program to Carnegie Mellon University (CMU). The grant supports a 3-year research project focused on developing sustainable and energy-efficient approaches to large-scale machine learning across domains such as natural language processing, computer vision, and scientific AI applications. The project aims to enhance training efficiency, reduce power consumption, and expedite model development through a holistic approach combining system architecture optimization, machine learning techniques, and software engineering. Key objectives include sustainable hardware utilization, efficient collaboration via cognitive scheduling and collaborative learning, faster hyperparameter tuning, and software toolkits for multi-level optimization of machine learning systems. The project seeks to provide easy-to-use, low-cost, and scalable open-source solutions to promote environmental sustainability in artificial intelligence development.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 7/15/24 |