About Me

Byung Hoon Ahn

Education

Ph.D. in Computer Science. University of California, San Diego
Sep. 2018 – present
Area: Computer Architecture, Compiler Optimization, and Machine Learning
Advisor: Prof. Hadi Esmaeilzadeh
Topic: Abstractions and Mechanisms for AI-Enabled Compilation of Deep Neural Networks (Thesis Proposal)

M.S. in Computer Science. University of California, San Diego
Sep. 2018 – Jun. 2020
Area: Computer Architecture, Compiler Optimization, and Machine Learning
Advisor: Prof. Hadi Esmaeilzadeh
Topic: Compilation and Optimization Techniques for Machine Learning Workloads (Research Exam) [paper]

B.Eng. in Electrical Engineering. Korea University
Mar. 2009 – Feb. 2015
Area: Computer Vision and Computer Architecture
Advisor: Prof. Sung-Jea Ko


Honors and Awards

  • Qualcomm Innovation Fellowship Finalist. Qualcomm (2020)
  • Korean Government Scholarship for Overseas Studies. NIIED, Ministry of Education (2018-2020)
  • CSE Department Fellowship, UC San Diego (2018)
  • Super Rookie Award. Samsung Research (2015)
  • Teaching Service Scholarship. Korea University (2014)
  • Honors Scholarship. Korea University (4 semesters, 2009-2014)

Publications

  • Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks
    Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh
    The 53rd IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct. 2020 [paper,video]
  • Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
    Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh
    The 8th International Conference on Learning Representations (ICLR), Apr. 2020 [paper,video]
  • Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices
    Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh
    The 3rd Conference on Machine Learning and Systems (MLSys), Mar. 2020 [paper,slide]
    Featured in Qualcomm’s Invited Talk in EMC² Workshop at NeurIPS 2019 [link,video]
  • Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation
    Byung Hoon Ahn, Prannoy Pilligundla, Hadi Esmaeilzadeh
    Workshop on Reinforcement Learning for Real Life at ICML, Jun. 2019 [paper]

Work/Research Experience

Graduate Student Researcher. Alternative Computing Technologies (ACT) Lab.
Aug. 2018 – present
Advisor: Prof. Hadi Esmaeilzadeh

Research Scientist. Protopia AI
Oct. 2020 – present
CEO: Dr. Eiman Ebrahimi

Research Intern. Qualcomm AI Research
Jun. 2020 – Sep. 2020 (3 months)
Mentor: Dr. Harris Teague. Manager: Dr. Chris Lott, Dr. Jilei Hou

Research Intern. Qualcomm AI Research
Jul. 2019 – Sep. 2019 (3 months)
Mentor: Dr. Jinwon Lee. Manager: Dr. Chris Lott, Dr. Jilei Hou

Software Engineer. Samsung Research
Jan. 2015 – Jun. 2018 (3.5 years)
Mentor: Dr. Yeonbok Lee. Manager: Dr. Myungsun Kim

Research Intern. Computer Vision & Image Processing (CVIP) Lab.
Jul. 2014 – Dec. 2014 (6 months)
Advisor: Prof. Sung-Jea Ko


Military Experience

Sergeant (E-5). 2nd Combat Aviation Brigade. 2nd ID. 8th US Army
Jul. 2011 – Apr. 2013 (21 months)


Teaching Experience

Teaching Assistant

  • CSE141 Introduction to Computer Architecture, UC San Diego (Spring 2020)
  • KECE382 Control Engineering, Korea University (Fall 2014)
  • KECE231 Engineering Mathematics, Korea University (Spring 2014)

Graduate Student Mentor

  • Early Research Scholars Program (ERSP), UC San Diego (2018-2019)

Part-time Teacher