Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs. - Jounghoo Lee; Jinwoo Choi 003; Jaeyeon Kim; Jinho Lee; Youngsok Kim (DAC, 2021)

Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing. - Mingi Yoo; Jaeyong Song; Jounghoo Lee; Namhyung Kim; Youngsok Kim; Jinho Lee (IEEE Comput. Archit. Lett., 2021)

Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators. - Mingi Yoo; Jaeyong Song; Hyeyoon Lee; Jounghoo Lee; Namhyung Kim; Youngsok Kim; Jinho Lee (PACT, 2022)

GCoM: a detailed GPU core model for accurate analytical modeling of modern GPUs. - Jounghoo Lee; Yeonan Ha; Suhyun Lee 002; Jinyoung Woo; Jinho Lee; Hanhwi Jang; Youngsok Kim (ISCA, 2022)

SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. - Mingi Yoo; Jaeyong Song; Jounghoo Lee; Namhyung Kim; Youngsok Kim; Jinho Lee (HPCA, 2023)

Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs. - Chaemin Lim; Suhyun Lee 002; Jinwoo Choi 003; Jounghoo Lee; Seongyeon Park; Hanjun Kim 001; Jinho Lee; Youngsok Kim (Proc. ACM Manag. Data, 2023)

Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring. - Jinwoo Choi 003; Yeonan Ha; Jounghoo Lee; Sangsu Lee; Jinho Lee; Hanhwi Jang; Youngsok Kim (IEEE Trans. Computers, 2023)

MPC-Wrapper: Fully Harnessing the Potential of Samsung Aquabolt-XL HBM2-PIM on FPGAs. - Jinwoo Choi 003; Yeonan Ha; Hanna Cha; Seil Lee; Sungchul Lee; Jounghoo Lee; Shinhaeng Kang; Bongjun Kim; Hanwoong Jung; Hanjun Kim 001; Youngsok Kim (FCCM, 2024)

GCStack+GCScaler: Fast and Accurate GPU Performance Analyses Using Fine-Grained Stall Cycle Accounting and Interval Analysis. - Hanna Cha; Sungchul Lee; Jounghoo Lee; Yeonan Ha; Joonsung Kim; Youngsok Kim (ISCA, 2025)