Project Grant W911NF1910439

This $350,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) will fund the development of an open-source, multiscale, application-agnostic platform (OPEN-MAP) for heterogeneous system-in-package co-design. Led by Purdue University, the consortium aims to break barriers across applications, design domains, and abstraction levels in modeling, simulation, optimization, and design through OPEN-MAP. The platform will...

This Project Grant from the National Science Foundation's $1.2 million Computer and Information Science and Engineering program will fund the development of the Machine Learning Accelerator Cohort Architecture at the University of Southern California from October 2022 to September 2025. The ML Accelerator Cohort Architecture aims to build a heterogeneous computing fabric to efficiently support diverse machine learning models, including novel approaches for privacy-preserving computation. Key...

The National Science Foundation (NSF) awarded the University of Connecticut (UConn) a $101,190 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The objective of this 6-month grant, with a period of performance from November 15, 2023 to May 31, 2024, is to create a novel architecture-modeling framework that bridges the gap between software architecture and software testing. The project will develop three key components: 1) a...

This Project Grant award for $227,500 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to develop an accelerated computation architecture for system modeling techniques and apply them to critical smart environment applications. The key products and services to be delivered include: Designing efficient computation techniques to accelerate the reachability computation in state transition representation,...

This four-year, $921,514 National Science Foundation project grant supports the development of a comprehensive modeling framework for evaluating in-memory computing fabrics at the University of Notre Dame. The framework will enable rapid design-space exploration of application-level workloads assuming emerging in-memory computing technologies for artificial intelligence, machine learning, bioinformatics, and graph processing. Investigators will develop device, circuit, and architectural models...

The Appalachian Regional Clean Hydrogen Hub (ARCH2) is a $29,681,912 Cooperative Agreement awarded by the U.S. Department of Energy's (DOE) Office of Clean Energy Demonstrations (OCED) program. The project will develop ten hydrogen production facilities, one hydrogen storage facility with connected pipelines, and offload capability for multiple hydrogen end-users. Hydrogen will be produced using auto-thermal reforming with carbon capture and storage, electrolysis, biomass pyrolysis, and...

The National Science Foundation awarded a $300,000 Project Grant to the University of Michigan under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to develop an artificial intelligence framework called the AI-enabled Microstructure Model Builder (AMMBER). AMMBER will autonomously determine input parameters for phase-field models based on a variety of data sources to establish constraints on model parameters. It will leverage automated data pipelines...

This National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation (CMMI) project grant, titled "LEAP-HI: ALL-CARBON RECYCLABLE ELECTRONICS (ACRE): REALIZING A SUSTAINABLE ELECTRONICS LIFECYCLE", will investigate the printing of all-carbon recyclable electronic (ACRE) materials to replace silicon- or metal oxide-based semiconductors in display manufacturing. The $500,000 award to Duke University, with a sub-award to Columbia University, aims to develop...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $530,704 to Florida International University (FIU) to conduct research on improving tiered memory management in in-memory databases and analytic frameworks using machine learning. The key objectives are to: (1) design new tiered memory management techniques that leverage machine learning to optimize performance, quality of service, and...

The College of William and Mary received a $175,000 project grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070) to develop explainable computer architecture techniques. Over the two-year period from May 1, 2023 to April 30, 2025, the College will build enhancements to computer architecture simulators and visualization tools to analyze performance issues in large-scale, heterogeneous...