The University of North Carolina at Charlotte received a $225,000 project grant from the National Science Foundation's Division of Computer and Network Systems program (CFDA 47.070) to conduct collaborative research on developing a cross-layer learning-based energy-efficient and resilient network-on-chip (NoC) design for multicore systems. The research project aims to tackle the reliability challenges facing NoCs as multicore systems proliferate, by developing a comprehensive, cooperative, and...
This $174,734 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research at The University of North Carolina at Charlotte to develop a holistic design methodology for optimized network-on-chip communications architectures. The methodology aims to address security, reliability, performance, and energy efficiency challenges in contemporary multicore systems through a flexible, learning-enabled interconnection...
The National Science Foundation awarded a $500,000 Project Grant to the George Washington University under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year award will support research into the holistic design of high-performance and energy-efficient accelerators for graph neural networks from October 1, 2021 through September 30, 2024. As described under the CFDA program, funding will advance the development of computing and communications...
This $1,000,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will fund research by George Washington University (GWU) to design and develop multi-functional, self-healing, and cross-layer optimized electro-optic fabric for computing architectures and accelerators. The overarching goal is to enhance the sustainability of computing systems by reducing embodied energy and extending the operational lifetime of...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) grant (CFDA 47.070) awarded to George Washington University (GWU) provides $424,291 over 4 years to research the development of a novel dual-purpose photonic fabric that can enable both power-efficient on-chip data communications and high-performance neural network acceleration for future heterogeneous chiplet-based computing architectures. The key objectives are to: (1) provide high-bandwidth and...
The University of Washington received a $205,296 Project Grant from the National Science Foundation Division of Computer and Network Systems under the federal Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research to develop a new programming model for energy-efficient packet processing in network interface cards. The project aims to streamline and improve network input/output and energy efficiency for data-intensive applications in today's data...
The National Science Foundation Division of Computer and Network Systems awarded George Mason University a $280,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) from October 1, 2021 to September 30, 2024. The grant funds collaborative research on secure wireless powered backscatter communication for Internet of Things applications. Specifically, the university researchers will develop small, low-cost wireless devices that can communicate securely...
The National Science Foundation awarded a $499,979 project grant to the George Washington University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research towards developing high-performance machine learning techniques on graphs from October 1, 2021 to September 30, 2024. The Computer and Information Science and Engineering program aims to advance computing and informatics research and education. This award will further those goals by...
The National Science Foundation awarded a $584,714 project grant to the George Washington University under the Computer and Information Science and Engineering program (CFDA 47.070) to support research on expeditious computing from October 1, 2022 to September 30, 2025. The project aims to develop a holistic framework called "expedient computing" to balance the timeliness, accuracy, and freshness of results against the energy consumed in processing large volumes of data from sensor...
The National Science Foundation (NSF) Division of Computer and Network Systems awarded a $174,178 project grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the President and Board of Trustees of Santa Clara College. The project aims to develop methods and a system for deploying complex machine learning (ML) models on network processing units (NPUs) to enable ultra low-latency performance for modern applications such as self-driving, security threat...
The National Science Foundation (NSF) awarded a $375,000 Project Grant to George Washington University (The) under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research on developing a cross-layer, machine learning-based, energy-efficient and resilient Network-on-Chip (NoC) design for multicore systems. The 3-year project aims to advance the understanding of the interactions between the NoC and other chip components, as well as optimize the tradeoffs between performance, power, reliability and cost in future multicore architectures. The research will involve developing a comprehensive, adaptive multi-layer approach to designing reliable NoCs from fault-susceptible components, with the goal of providing system-level performance and reliability improvements for future multicore computing systems.