Who Am I?

I am a Master Student at Concurrency and Parallelism Laboratory, KAIST School of Computing.

My research interests are in designing and verifying concurrent and parallel systems. In particular, I want to solve various real-world problems associated with these topics. I believe these studies will help advance the areas such as Deep Learning where performance issues are critical.

Educations

• M.S in School of Computing, KAIST, Sep 2019 – Present
  • advisor: Prof. Jeehoon Kang
  • laboratory: Concurrency and Parallelism Laboratory
• B.S in School of Computer Science & Electrical Engineering, Handong Global University, Mar 2014 – Aug 2019

Activities

• President, Handong Artificial Intelligence Leading Organization (HAILO), Mar 2018 – Aug 2018
• Member, RPM: Handong Start-up competition Management Team, Feb 2015 – Dec 2016
• Chief of Administrative Affairs, Secretariat of UNAI ASPIRE Korea, Feb 2015 – Feb 2017

Experiences

• Intern, FuriosaAI, Jul 2020 - Aug 2020
  • Discuss next generation heterogeneous SW platform for deep-learning
• Teaching Assistant, KAIST Compiler Design Lecture(CS420), Jan 2020 - Jun 2020
  • Implement KAIST Educational C Compiler(KECC)
  • Manage lecture issue board
• Intern, KakaoBrain, Jul 2019 – Aug 2019
  • torchlars: Implement LARS(Layer-wise Adaptive Rate Scaling) using PyTorch, [github], [blog post]
• Intern, DeepBio, Jan 2018 – Feb 2018
  • CAMELYON17 task: Automated detection and classification of breast cancer metastases using Pytorch, [github]
• Research Assistant, Deep Learning Lab (DLLAB), Handong Global University, Mar 2017 – Jun 2019
  • director: Prof. Injung Kim
  • WICWIU: A deep learning library in C/C++, [github], [thesis]
• Administrative assistant, Asia-Pacific Center for Theoretical Physics (APCTP), Sep 2015 – Feb 2016
• Administrative assistant, The Secretary’s Office of Handong Global University, Mar 2015 – Aug 2017

Publications

Refereed journal articles

1. Chunmyong Park, Jeewoong Kim, Yunho Kee, Jihyeon Kim, Seonggyeol Yoon, Eunseo Choi, Injung Kim, C++ based General-purpose Open Source Deep Learning Framework, WICWIU, Journal of KIISE, Mar 2019 (written in Korean)

Refereed domestic conference papers (written in Korean)

1. Chunmyong Park, Jeehoon Kang, KECC: KAIST Educational C Compiler, Korea Software Congress (KSC), Nov 21-23, 2020
2. Chunmyong Park, Jeewoong Kim, Yunho Kee, Jihyeon Kim, Injung Kim, WICWIU: C++ based Deep Learning Open Source Framework with Readability and Extensibility, Korea Computer Congress (KCC), Jun 20-22, 2018, (Best paper awarded)

The full list of the publications can be found at Google Scholar.

Projects

Industry funded projects

• Research assistant, 비휘발성 메모리로 인한 프로그래밍 방식 변화 및 이득 연구, 한국전자통신연구원 (ETRI), Sep 2018 – Dec 2019
• Research assistant, 머신러닝 학습 및 추론 엔진간 연동을 위한 데이터 모델 어뎁터 모듈 구현, 한국전자통신연구원 (ETRI), Jul 2018 – Jun 2019

Open Source projects

• KECC, KAIST Educational C Compiler, Jan 2020 - Jun 2020, [github]
• torchlars, A LARS(Layer-wise Adaptive Rate Scaling) implementation in PyTorch, Jul 2019 – Oct 2019, [github], [blog post]
• WICWIU, A deep learning framework in C/C++, Jul 2017 – Jun 2019, [github]

Personal projects

• Implementation of 32bits MIPS using Verilog, Nov 2018 – Dec 2018 [github]

Awards and Scholarships

1. Special Prize in Portfolio Competition, Dec 2018
2. SW-mileage Scholarship, Dec 2018
3. Best Paper Award, Korea Computer Congress (KCC), Jun 2018
4. SW-mileage Scholarship, Jun 2018
5. Academic Excellence Scholarship, Jun 2014