Assistant Professor Sophia Shao, from UC Berkeley, discussed Gemmini, which enables users to explore and evaluate different deep neural network accelerators. Her worked earned the inaugural Dr. Sudhakar Yalamanchili Award. Recently, the Workshop on Modeling & Simulation of Systems and Applications marked its tenth year with a four-day virtual event that took a close look at the impact of artificial intelligence (AI) and machine learning on the field, as well as modeling and simulation's role in the exponential growth of AI technologies. While the focus of ModSim 2021 was aimed at the future, the event also honored the past by formally presenting the inaugural Dr. Sudhakar Yalamanchili Award to Sophia Shao, an assistant professor with the Electrical Engineering and Computer Sciences department at the University of California, Berkeley, for her work, Enabling Holistic Machine Learning Hardware Evaluation via Full-System Simulation. Shao presented her research during a multi-part Rapid Fire flash talk/digital poster session, which has become a staple at ModSim workshops that primarily features young talent in this scientific community.