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