About
I am a software engineer specializing in computer architectures for efficient AI acceleration. At Samsung Research, I lead the development of a cycle-accurate NPU simulator for Samsung AI TV SoCs and a design space exploration framework for next-generation NPUs. Previously, I worked at SK hynix as an application engineer, participating in the GDDR6-AiM project.
Research Interests
I am broadly interested in data-centric computing paradigms—including dataflow architectures, memory-centric architectures, and computational storage—that reduce data movement across the memory hierarchy. In addition, I am interested in agile HW/SW co-design methodologies. I aim to develop AI agent–driven approaches that accelerate the HW/SW co-design cycle, making it faster, more flexible, and more efficient.
Experience
Software Engineer @ Samsung Research (2022 – Present)
Application Engineer @ SK hynix (2021 – 2022)
Education
B.S. in Electrical and Electronic Engineering @ Yonsei University (2016 - 2021)
Publications & Patents
- Patent Pending (2025)
- “Efficient Synchronization Protocol and its Hardware Module in Parallel Computing Systems”
- IEEE Hot Chips 34 (2022)
- “System Architecture and Software Stack for GDDR6-AiM.”
Selected Projects
- NPU Design Space Exploration (2025)
- Cycle-Accurate NPU Simulator (2023 - 2025)
- QEMU-Based Full-System Emulation (2024)
- DSP Kernel Optimization (2022 - 2023)
- GDDR6-AiM System-Level Verification (2022)
- B.S. Thesis: Modeling Tensor Core Microarchitecture for NVIDIA Turing with Experimental Features (2020)
Additional Experience
ROK Army & United Nations Peacekeeping (2018 - 2019)