Woohyeon Baek
Perspective on Computing
- Static (Software) > Dynamic (Hardware & Software)
- Correctness > Performance > Energy-efficiency
- General-purpose > Domain-specific
- Systems > Applications
- Deterministic > Non-deterministic > Probabilistic
- Simple is the best
- Core vs. Sugar, Logical vs. Physical
Research Interests
- High-performance computing
- Runtimes and Compilers
- Distributed systems
Research Experience
- Ph.D. Intern - Scale-out Compiler Developer, Pacific Northwest National Laboratory (PNNL), 07/2025 - Present
Education
- Ph.D. in Computer Science and Engineering, The Pennsylvania State University, 08/2024 - Present
- Advisor: Prof. Mahmut Taylan Kandemir
- B.S. in Computer Science and Engineering, Seoul National University, 03/2017 - 02/2023
- Thesis: “Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Training Pipeline”
Publications
- Woohyeon Baek*, Jonghyun Bae*, Donghyun Lee, Hyunwoong Bae, Yeonhong Park, Jae W. Lee. “Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Training Pipeline”. APSys ’23
- Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee. “L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training”. ECCV ’22