This $318,500 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research to develop an accelerated computation architecture for system modeling techniques and apply them to critical smart environment applications. The key objectives of this 3-year project are to: 1) design efficient computation techniques to accelerate reachability computation in state transition representations,...
This $377,694 Project Grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of innovative lightweight simulation techniques to enable faster design and optimization of next-generation, large-scale computing systems. The University of Rochester is leading this collaborative research project, which introduces behavior modeling, sampled simulations, and data-driven simulation approaches to...
This Project Grant award, with a total funding of $549,999, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The primary objective is to develop a time-sensitive large model training platform for dynamic data analytics, enabling real-time adaptability of large-scale deep learning models across various applications such as climate modeling, traffic management, and virtual infrastructure twins. The...
This Project Grant award, valued at $134,992 and provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research by Rensselaer Polytechnic Institute (RPI) to develop energy-efficient and scalable artificial intelligence (AI) systems. The key objectives are to leverage dynamic connectivity to reduce redundancy in AI models, provide architectural support for elastic processing through heterogeneous computing,...
This $129,999 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of SPEED, a scalable and efficient modeling framework to address challenges in high-performance computing (HPC) systems. The project aims to create innovative methodologies based on generative artificial intelligence (AI) that can capture multifaceted relationships between configuration settings and application...
This Project Grant award for $557,158.00, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070), supports research to devise novel mathematical operators that address the computational bottlenecks of graph-based artificial intelligence (AI) applications. The project aims to unlock sustainable and scalable performance for modern AI-based applications, such as autonomous systems, traffic forecasting, social media, drug...
This $379,800 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of innovative lightweight simulation techniques to enable faster performance modeling and optimization for next-generation, large-scale computing systems. The awardee, the University of Virginia (UVA), is designing a suite of simulation tools under the "Akita" framework that encompass three complementary...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) supports a collaborative research effort to accelerate the execution of large-scale graph problems on distributed computing systems. The $2,656,268 award, active from August 1, 2023 to July 31, 2028, aims to develop new algorithms, software frameworks, and hardware accelerators to efficiently process large graph datasets in domains like computational...
This Project Grant award of $598,555 from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports the development of innovative tools and techniques to enhance computer architecture performance analysis. The award recipient, the College of William and Mary, will create advanced visualization, collaborative sensemaking, and generative AI methods to provide deeper insights into system performance, facilitating the design of more efficient...
This $800,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to pioneer a computing system for massive AI workloads. The project will develop new architectural and design automation tools for a reconfigurable-on-package system using "tiny chiplets" - miniaturized composable computing components. This innovative approach seeks to address the challenges related to chiplet definition,...