Abstract
This project aims to make powerful computing applications, like those used in Artificial Intelligence (AI), climate modeling, astronomy, and self-driving cars, run faster and greener. By mining extensive data sets on the specific interactions between software and hardware, the project develops intelligent tools using explainable AI and transfer learning that learn from past software optimizations to improve future software optimization sessions and automatically adjust software to run more efficiently. The result: better performance, lower energy use, and reduced carbon emissions from the world’s fastest computers.
