Keren Zhou

Keren Zhou

Assistant Professor

George Mason University

Biography

I am an Assistant Professor in the Department of Computer Science at George Mason University and a part-time Member of Technical Staff at OpenAI. Before joining GMU, I was a full-time Member of Technical Staff at OpenAI. I obtained my Ph.D. degree from Rice University, advised by Professor John Mellor-Crummey. Previously, I studied at Institute of Computing Technology, Chinese Academy of Sciences in Professor Guangming Tan’s PAA group. Prior to that, I was an undergraduate student at Yunnan University, advised by Professor Wei Zhou.

Interests
  • High Performance Computing
  • Parallel Algorithms
  • Program Analysis
  • Machine Learning
Education
  • PhD in Computer Science, 2022

    Rice University

  • MS in Computer Science, 2017

    Institute of Computing Technology, Chinese Academy of Sciences

  • BE in Network Engineering, 2014

    School of Software, Yunnan University

Recent News

  • Nov 2023 Attended SC'23
  • Aug 2023 Joined George Mason University as an Assistant Professor
  • Aug 2023 Awarded 2023 SIGHPC Doctoral Dissertation Award
  • Jun 2023 Attended Scalable Tools Workshop'23 and gave a talk about Triton
  • Apr 2023 Attended ISPASS'23
  • Nov 2022 Attended SC'22
  • Jun 2022 Joined OpenAI
  • May 2022 Graduated from Rice

More news…

Experience

 
 
 
 
 
OpenAI
Member of Technical Staff
November 2023 – Present Fairfax
Triton Compiler
 
 
 
 
 
George Mason University
Assistant Professor
August 2023 – Present Fairfax
Computer Architecture/Compiler/Machine Learning Systems
 
 
 
 
 
OpenAI
Member of Technical Staff
June 2022 – August 2023 San Francisco
Performance Optimization of Deep Learning Workloads
 
 
 
 
 
NVIDIA
Software Engineering Intern
May 2021 – August 2021 Remote
Performance Profiling for Deep Learning Frameworks
 
 
 
 
 
Google
Software Engineering Intern
May 2020 – August 2020 Remote
Performance Regression Analysis of Feedback-direct Optimization (FDO) Based Programs
 
 
 
 
 
Meta
Research Intern
June 2018 – August 2018 Menlo Park
Neural Network Optimization on Mobiles
 
 
 
 
 
NVIDIA
Research Intern
April 2017 – July 2017 Beijing
Neural Network Quantization
 
 
 
 
 
Baidu
Software Engineering Intern
October 2014 – February 2015 Beijing
Hadoop Workflow Optimization

Projects

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Recent Publications

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DrGPUM: Guiding Memory Optimization for GPU-Accelerated Applications

Cite Project DOI URL

Students

  • PhD Students
    • Hao Wu, GMU, 2024-
    • Junyu Yin, GMU, 2024-
    • Atul Khatri, GMU, 2023-
      • co-advised with Prof. Songqing Chen
    • Mao Lin, UC Merced, 2022-2023
      • co-advised with Prof. Pengfei Su
  • Master Students