Project Grant DESC0019518

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 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) provides $127,658 to Boston University to develop new approaches for designing customized computer processors (accelerators) to enable faster and safer motion planning capabilities for autonomous systems like robots. The key technical objectives are: (1) creating a library of hardware design flows for commonly used motion-related...

This National Science Foundation award provides $498,003 to Arizona State University under the Computer and Information Science and Engineering program to develop security countermeasures for field-programmable gate array (FPGA)-as-a-service systems. The university will conduct research on authentication methods, information flow tracking, formal methods, and machine learning to detect malicious FPGA bitstreams. Evaluation will utilize Xilinx Kintex-7 and Zynq-7000 FPGAs to develop benchmarks...

This $1,500,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports research at the University of Pittsburgh to develop sustainable computing solutions by recycling and reintegrating decommissioned computer chips. The project aims to minimize the environmental impact of computing systems across their lifecycle, including manufacturing, usage, and disposal. The key technical approaches involve creating...

This Project Grant award for $234,631 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) is supporting research at Worcester Polytechnic Institute (WPI) to develop novel techniques for offloading heterogeneous tasks to edge computing devices. The research aims to improve the energy efficiency, resiliency, and scalability of edge computing by leveraging reconfigurable Field-Programmable Gate Arrays (FPGAs) to...

This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $397,299 to Fordham University to acquire a high-performance GPU computing cluster. The goal is to modernize the university's scientific computing infrastructure and meet growing demands for advanced computational resources across various disciplines, including computer science, neuroscience, security, economics, chemistry, statistics, and psychology. The GPU cluster...

This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 to Axpro Semi, a small business located in Sunnyvale, CA. The funding supports the development of a RISC-V and FPGA pipeline-coupled heterogeneous compute microprocessor architecture and emulation software tools. The goal is to dramatically improve CPU performance and enable more affordable, energy-efficient, and scalable computing...

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, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of an integrated hardware-software architecture to enhance the safety and reliability of autonomous driving systems and other autonomous machines. The $229,303 award to Wayne State University aims to achieve three core objectives: Developing an accelerator-enhanced system-on-a-chip (SoC) that enables real-time...

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program provides $250,000 to the College of William and Mary to support research and education activities under the EASER framework from June 2022 through May 2025. The award will fund the development of an integrated paradigm for application execution on heterogeneous high-performance computing clusters. Key products and services include compiler-driven performance prediction models, an...