SHF: Medium: Quantifying and Designing Around Architectural Risk

This proposal seeks to transform the way in which architectures and systems, from micro to data-center scale, are designed and analyzed. The investigators propose not only to create new technologies, but also to make those technologies available and accessible through open repositories, continue to include undergraduates at all levels in his research, and to integrate basic concepts from these statistical design methods into outreach through STEM and other efforts. This interdisciplinary project will advance the frontiers of computer architecture, electronic design automation (EDA) and uncertainty quantification. The developed methodologies have the potential to impact risk analysis and management across many other engineering systems including renewable energy, robotic systems, and autonomous driving. Over the long term this research will help to create the skills and tools systems engineers will need to implement ecient systems with predictability, and to ease the development of those highly integrated computing systems that everyone depends on for our safety and livelihood.