This $598,555 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of innovative tools and techniques for computer architecture performance analysis. The project, led by the College of William & Mary, aims to enhance the efficiency and scalability of performance diagnostics through advanced visualization, collaborative sensemaking, and generative AI methods. The goal is to provide computer architects with a flexible analytical workflow that empowers them to balance manual insights with automated analysis, enabling more efficient and sustainable computing system design. The tools developed under this 5-year award will also serve educational purposes, supporting students in understanding complex computer architecture mechanisms and reducing learning barriers. No sub-awards are planned for this project.
Generated 2/25/25, 1:56 AM