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)

LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale. - Jaehong Cho; Minsu Kim 004; Hyunmin Choi; Guseul Heo; Jongse Park (IISWC, 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)

Accelerating String-key Learned Index Structures via Memoization-based Incremental Training. - Minsu Kim 004; Jinwoo Hwang; Guseul Heo; Seiyeon Cho; Divya Mahajan 001; Jongse Park (Proc. VLDB Endow., 2024)

Efficient LLM Inference with Activation Checkpointing and Hybrid Caching. - Sanghyeon Lee; Hongbeen Kim; Soojin Hwang; Guseul Heo; Minwoo Noh; Jaehyuk Huh 001 (CoRR, 2025)

Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse. - Jinwoo Hwang; Daeun Kim; Sangyeop Lee; Yoonsung Kim; Guseul Heo; Hojoon Kim; Yunseok Jeong; Tadiwos Meaza; Eunhyeok Park; Jeongseob Ahn; Jongse Park (CoRR, 2025)