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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:

書報連結

 

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

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