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I received my Ph.D. in Electrical and Electronic Engineering (Computer Architecture) at Yonsei University, advised by Prof. Won Woo Ro [Lab]. My Ph.D. research focused on the field of neural network accelerators and GPU architecture. I am currently working on Samsung Electronics, as a system engineer.

news

Nov 03, 2024 “Ditto: Accelerating Diffusion Model via Temporal Value Similarity” has been accepted for HPCA 2025! I am a co-first author of the paper. Details will be shared after the camera-ready version is finalized.
Aug 01, 2024 The paper, ‘AirGun: Adaptive Granularity Quantization for Accelerating Large Language Models’, has been accepted to IEEE International Conference on Computer Design (ICCD) 2024.
May 20, 2024 The paper, ‘GUMSO: Gating Unnecessary On-Chip Memory Slices for Power Optimization on GPUs’, has been accepted to IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) 2024.

selected publications

  1. HPCA
    Ditto: Accelerating Diffusion Model via Temporal Value Similarity
    Sungbin Kim*, Hyunwuk Lee*, Wonho Cho, and 2 more authors
    In 2025 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2025
  2. ICCD
    AirGun: Adaptive Granularity Quantization for Accelerating Large Language Models (Accepted)
    Sungbin Kim, Hyunwuk Lee, Sungwoo Kim, and 2 more authors
    In International Conference on Computer Design (ICCD), 2024
  3. MICRO
    Exploiting Inherent Properties of Complex Numbers for Accelerating Complex Valued Neural Networks
    Hyunwuk Lee, Hyungjun Jang, Sungbin Kim, and 3 more authors
    In 2023 56th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2023
    LINK