Near-Data Processing in Memory Expander for DNN Acceleration on GPUs. - Hyungkyu Ham; Hyunuk Cho; Minjae Kim 001; Jueon Park; Jeongmin Hong; Hyojin Sung; Eunhyeok Park; Euicheol Lim; Gwangsun Kim (IEEE Comput. Archit. Lett., 2021)

NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing. - Guseul Heo; Sangyeop Lee; Jaehong Cho; Hyunmin Choi; Sanghyeon Lee; Hyungkyu Ham; Gwangsun Kim; Divya Mahajan 001; Jongse Park (ASPLOS (3), 2024)

Low-Overhead General-Purpose Near-Data Processing in CXL Memory Expanders. - Hyungkyu Ham; Jeongmin Hong; Geonwoo Park; Yunseon Shin; Okkyun Woo; Wonhyuk Yang; Jinhoon Bae; Eunhyeok Park; Hyojin Sung; Euicheol Lim; Gwangsun Kim (MICRO, 2024)

Non-Invasive, Memory Access-Triggered Near-Data Processing for DNN Training Acceleration on GPUs. - Hyungkyu Ham; Hyunuk Cho; Minjae Kim 001; Jueon Park; Jeongmin Hong; Hyojin Sung; Eunhyeok Park; Euicheol Lim; Gwangsun Kim (IEEE Access, 2024)

ONNXim: A Fast, Cycle-Level Multi-Core NPU Simulator. - Hyungkyu Ham; Wonhyuk Yang; Yunseon Shin; Okkyun Woo; Guseul Heo; Sangyeop Lee; Jongse Park; Gwangsun Kim (IEEE Comput. Archit. Lett., 2024)