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Cheng Li (李程)

PhD candidate in Computer Science

University of Illinois at Urbana-Champaign

About Me

I am a PhD candidate in Computer Science at the University of Illinois at Urbana-Champaign (UIUC) and a member of the IMPACT Research Group led by Professor Wen-Mei Hwu.

My research lies in the field of GPU-accelerated applications, with an emphasis on Deep Learning. My work has focused on understanding and optimizing Deep Learning workloads. In the process, I have developed a number of open-source tools to benchmark, profile, and summarize Deep Learning training and inference across hardware and software stacks. The tools have been used to inform system design for Deep Learning model serving and develop highly tuned GPU kernels for model inference.

I’m joining Microsoft in August!

Interests

  • GPU
  • Deep Learning
  • System Design and Engineering for Deep Learning

Education

  • PhD Candidate in Computer Science

    University of Illinois Urbana-Champaign

  • MS in Computer Science and Engineering, 2015

    University of Michigan

  • BS in Computer Engineering, 2013

    University of Michigan

  • BS in Electrical Engineering, 2013

    Shanghai Jiao Tong University

Publications

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Experience

 
 
 
 
 

Research Intern

Alibaba Group

May 2019 – Aug 2019 Sunnyvale, CA

 
 
 
 
 

Teaching Assistant for the 9th Programming and Tuning Massively Parallel Systems + Artificial Intelligence summer school (PUMPS+AI)

BSC, UPC and UIUC

Jul 2018 – Jul 2018 Barcelona, Spain
 
 
 
 
 

Research Intern

IBM TJ Watson Research Center

May 2018 – Aug 2018 Yorktown Heights, NY

 
 
 
 
 

Research Intern

IBM TJ Watson Research Center

May 2017 – Aug 2017 Yorktown Heights, NY
 
 
 
 
 

Head Teaching Assistant for ECE408/CS483: Applied Parallel Programming

UIUC

Aug 2016 – Dec 2016 Champaign, IL

Languages

C/C++, Go, CUDA, Python, JavaScript, Bash, LaTeX, Mathematica

Chinese, English

Contact

  • 224 Coordinated Science Lab, 1308 W. Main St., Urbana, Illinois 61801