Courses
Instructor in EE290-2: Hardware for Machine Learning, UC Berkeley, Spring 2021
Instructor in EE290-2: Hardware for Machine Learning, UC Berkeley, Spring 2020
Teaching Fellow in CS247r: Advanced Topics in Computer Architecture, Harvard University, Fall 2013
Teaching Fellow in CS246: Advanced Computer Architecture, Harvard University, Spring 2013
Teaching Fellow in CS141: Computer Hardware, Harvard University, Fall 2011
Tutorials
Next-Generation Deep-Learning Accelerators: From Hardware to System
Yakun Sophia Shao
VLSI Symposia on Technology and Circuits (VLSI), June 2021.
Rapid Exploration of Accelerator-rich Architectures: Automation from Concept to Prototyping
Yakun Sophia Shao with David Brooks, Jason Cong, Zhenman Fang and Sam Xi
International Symposium on Microarchitecture (MICRO), October 2016.
Aladdin and gem5-Aladdin: Research Infrastructures for Specialized Architectures
Yakun Sophia Shao with David Brooks, Gu-Yeon Wei, and Sam Xi
International Symposium on Workload Characterization (IISWC), September 2016.
Rapid Exploration of Accelerator-rich Architectures: Automation from Concept to Prototyping
Yakun Sophia Shao with David Brooks, Yu-Ting Chen, Jason Cong, Zhenman Fang, Brandon Reagen, Glenn Reinman, Gu-Yeon Wei and Sam Xi
International Symposium on Computer Architecture (ISCA), June 2015.
Research Infrastructures for Accelerator-centric Architectures
Yakun Sophia Shao with David Brooks, Mark Hempstead, Mike Lui, Parnian Mokri, Siddharth Nilakantan, Brandon Reagen and Gu-Yeon Wei
International Symposium on High Performance Computer Architecture (HPCA), Feb 2015.
Research Infrastructures for Accelerator-centric Architectures
Yakun Sophia Shao with David Brooks, Brandon Reagen, Kevin Skadron, Liang Wang and Gu-Yeon Wei
International Symposium on Computer Architecture (ISCA), June 2014.