Project Grant 2504587

Award Date 6/15/25
Completion Date 5/31/29
Dollars Obligated $391K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Albany, CA 94710, USA
Similar Awards
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award in the amount of $328,193 provides funding to Yale University from June 2025 through May 2029 to design, fabricate, and demonstrate integrated circuit (IC) chip implementations of oscillator Ising machines (OIMs) for solving combinatorial optimization (CO) problems. The research aims to address technological limitations in current OIM IC implementations to...
This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to translate fundamental concepts about coherent Ising machines into practical hardware designs for efficient, energy-saving computing devices. The $700,000 award to The Leland Stanford Junior University will specifically focus on developing integrated architectures for coherent Ising machine-type physical optimizers in...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) focuses on accelerating the design and improvement of optical resonators, which are essential components in many technologies such as the internet, medical diagnostics, and advanced computing. The project aims to make the resonator design process faster and more efficient through the use of high-performance computing technologies and...
The National Science Foundation awarded a $800,000 Project Grant to the University of California, Berkeley under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund research from July 2021 through June 2025 related to developing Latch Ising Machines (LIM), a novel computing architecture that leverages the physics of magnetic materials for information processing. As the prime awardee, UC Berkeley will conduct investigator-initiated...
This $211,135 federal Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to expand and improve the use of stochastic simulation models for optimal decision-making under uncertainty. The award, with a performance period from July 2024 to June 2027, will enhance the SIMOPT testbed of simulation optimization problems and solvers, making it more powerful, widely applicable, and aligned...
This three-year, $599,995 National Science Foundation project grant will support research at the University of Rochester to increase the robustness, efficacy, and capabilities of CMOS-compatible electronic Ising machines for solving optimization problems. The Computer and Information Science and Engineering program aims to advance computing and information sciences, and this award furthers those goals by addressing challenges to developing a physical computing system that can robustly accelerate...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $600,000 to Northeastern University to develop a new "N-Sphere" computing platform for solving large-scale combinatorial optimization problems. The project aims to create a low-power, chip-scale analog computing engine that can accurately solve quadratic unconstrained binary optimization (QUBO) problems with thousands of variables,...
This $607,900 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research and development of domain-specific probabilistic computing using stochastic antiferromagnetic tunnel junctions. The project aims to develop faster and more energy-efficient probabilistic computing bits that can be used in advanced computing architectures to address optimization challenges facing conventional digital...
This $443,217 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research on fast combinatorial algorithms for graph problems such as maximum matching, maximum flow, and shortest paths. The award aims to develop new algorithms for dynamic graphs, where the graph structure changes over time, as well as improve expander-related tools that can serve as building blocks for many graph algorithms....
This $192,006 federal Project Grant award was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of Florida. The grant will fund the development and deployment of a semiconductor research and education cyberinfrastructure (CI) in the form of an integrated device database and machine learning models. This CI will provide semiconductor researchers with a powerful tool to lower entry barriers and...

This $390,862 federal Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070), supports collaborative research to design, fabricate, and demonstrate integrated circuit (IC) implementations of Oscillator Ising Machines (OIMs) for solving complex combinatorial optimization problems. The main goal is to improve the efficiency of solving a variety of societally important optimization problems by leveraging the high success rates predicted for OIM simulations. The research will identify technological reasons for the discrepancy between OIM simulations and current IC implementations, and devise measures to address them, including exploring the impact of noise, device variability, and specialized IC designs. Evaluation metrics will include solution quality, success rates, and power/energy efficiency. The award was made to the University of California, Berkeley, which will lead this collaborative research project from June 2025 through May 2029. No sub-awards are planned under this grant.

Generated 7/1/25, 4:02 AM