AI Computing Platform Laboratory

Department of Computer Science and Engineering, Artificial Intelligence Convergence, Ewha Womans University

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The AI Computing Platform Laboratory (ACPL) has been a lab of excellence for efficient AI hardware & software research since its founding in 2021.

Our main research goal is to accelerate AI model in a faster and energy-efficient way through HW/SW co-design. Specifically, our research interests include:

  • Designing Neural Processing Unit (NPU) and domain-specific hardware
  • Making AI model efficient, such as quantization, pruning, and knowledge distillation
  • Hardware-aware neural architecture search (HW-Aware NAS) and neural architecture accelerator search (NAAS)
  • Processing-in-memory (PIM)

현재 연구실 구성원 모집 정보 및 연구실 합류 희망자 안내

news

Nov 21, 2024 Our lab has one paper accepted for publication in IEEE Access.
Oct 11, 2024 Doeun Kim has joined our group as an undergraduate intern. Welcome!
Oct 01, 2024 Suhyeon Kim has joined our group as an undergraduate intern. Welcome!
Sep 19, 2024 Jaeyoung Choi has joined our group as an undergraduate intern. Welcome!
Sep 14, 2024 Our lab has two papers accepted for presentation at 2024 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI).

latest publications

  1. Accepted
    SCIE
    SpDRAM: Efficient In-DRAM Acceleration of Sparse Matrix-Vector Multiplication
    Jieui Kang, Soeun Choi, Eunjin Lee, and Jaehyeong Sim
    IEEE Access, vol.0, num.0, pp.1-1, 2024
  2. AutoCaps-Zero: Searching for Hardware-Efficient Squash Function in Capsule Networks
    Jieui Kang, Sooyoung Kwon, Hyojin Kim, and Jaehyeong Sim
    In 2024 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)
  3. OCW: Enhancing Few-Shot Learning with Optimized Class-Weighting Methods
    Jieui Kang, Subean Lee, Eunseo Kim, Soeun Choi, and Jaehyeong Sim
    In 2024 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)