11/10(三) When Compiler Meets Deep Learning – Optimizing Deep Learning Workloads with Apache TVM 主講人: Dr. Cody Hao Yu
國立清華大學資訊工程學系
Department of Computer Science
National Tsing Hua University
專題演講
SEMINAR
主講人:Dr. Cody Hao Yu(俞浩)
SPEAKER Senior Applied Scientist, Amazon AI, AWS
題 目:When Compiler Meets Deep Learning – Optimizing Deep Learning Workloads with Apache TVM
TOPIC
時 間:110年11月10日(三)下午1:30點至3點
DATE
地 點:線上會議室
PLACE
線上連結:
Bio:
Cody Hao Yu (俞浩) is a senior applied scientist at Amazon AI, AWS. His research in Amazon AI covers deep learning compiler developments for both model inference and training, and has been published by top tier conferences such as USENIX OSDI and ACM SoCC. The developments are based on an open source deep learning compiler, Apache TVM, and Cody is also one of the project management committee (PMC) members. Prior to joining to AWS, Cody got his PhD from professor Jason Cong’s group at UCLA in 2019. He also got his master from professor Shih-Chieh Chang’s group at National Tsing Hua University in 2013.
聯絡人:黃稚存 教授