Fine-Grained Pipeline Parallelization for Network Function Programs. - Seungbin Song; Heelim Choi; Hanjun Kim 001 (CGO, 2021)

Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing. - Shinnung Jeong; Yongwoo Lee 001; Jaeho Lee 005; Heelim Choi; Seungbin Song; Jinho Lee; Youngsok Kim; Hanjun Kim 001 (PACT, 2022)

Occamy: Memory-efficient GPU Compiler for DNN Inference. - Jaeho Lee 005; Shinnung Jeong; Seungbin Song; Kunwoo Kim; Heelim Choi; Youngsok Kim; Hanjun Kim 001 (DAC, 2023)

Privacy Set: Privacy-Authority-Aware Compiler for Homomorphic Encryption on Edge-Cloud System. - Dongkwan Kim 002; Yongwoo Lee 001; Seonyoung Cheon; Heelim Choi; Jaeho Lee 005; Hoyun Youm; Dongyoon Lee; Hanjun Kim 001 (IEEE Internet Things J., 2024)

SPID-Join: A Skew-resistant Processing-in-DIMM Join Algorithm Exploiting the Bank- and Rank-level Parallelisms of DIMMs. - Suhyun Lee 002; Chaemin Lim; Jinwoo Choi 003; Heelim Choi; Chan Lee; Yongjun Park 001; Kwanghyun Park 001; Hanjun Kim 001; Youngsok Kim (Proc. ACM Manag. Data, 2024)

SparseWeaver: Converting Sparse Operations as Dense Operations on GPUs for Graph Workloads. - Shinnung Jeong; Liam Paul Coopert; Ju Min Lee; Heelim Choi; Nicholas Parnenzini; Chihyo Ahn; Yongwoo Lee 001; Hanjun Kim 001; Hyesoon Kim (HPCA, 2025)