The Effect of Multi-core on HPC Applications in Virtualized Systems. - Jaeung Han; Jeongseob Ahn; Changdae Kim; Youngjin Kwon; Young-ri Choi; Jaehyuk Huh 001 (Euro-Par Workshops, 2010)

Virtualizing performance asymmetric multi-core systems. - Youngjin Kwon; Changdae Kim; Seungryoul Maeng; Jaehyuk Huh 001 (ISCA, 2011)

Dynamic Virtual Machine Scheduling in Clouds for Architectural Shared Resources. - Jeongseob Ahn; Changdae Kim; Jaeung Han; Young-ri Choi; Jaehyuk Huh 001 (HotCloud, 2012)

Fairness-oriented OS Scheduling Support for Multicore Systems. - Changdae Kim; Jaehyuk Huh 001 (ICS, 2016)

Configuration Guidance Framework for Molecular Dynamics Simulations in Virtualized Clusters. - Jaeung Han; Changdae Kim; Jaehyuk Huh 001; Gil-Jin Jang; Young-ri Choi (IEEE Trans. Serv. Comput., 2017)

Zebra Refresh: Value Transformation for Zero-Aware DRAM Refresh Reduction. - Seikwon Kim; Wonsang Kwak; Changdae Kim; Jaehyuk Huh 001 (IEEE Comput. Archit. Lett., 2018)

Exploring the Design Space of Fair Scheduling Supports for Asymmetric Multicore Systems. - Changdae Kim; Jaehyuk Huh 001 (IEEE Trans. Computers, 2018)

GVTS: Global Virtual Time Fair Scheduling to Support Strict Fairness on Many Cores. - Changdae Kim; Seungbeom Choi; Jaehyuk Huh 001 (IEEE Trans. Parallel Distributed Syst., 2019)

AniFilter: parallel and failure-atomic cuckoo filter for non-volatile memories. - Hyungjun Oh; Bongki Cho; Changdae Kim; Heejin Park; Jiwon Seo 002 (EuroSys, 2020)

Charge-Aware DRAM Refresh Reduction with Value Transformation. - Seikwon Kim; Wonsang Kwak; Changdae Kim; Daehyeon Baek; Jaehyuk Huh 001 (HPCA, 2020)

Failure-Atomic Byte-Addressable R-tree for Persistent Memory. - Soojeong Cho; Wonbae Kim; Sehyeon Oh; Changdae Kim; Kwangwon Koh; Beomseok Nam (IEEE Trans. Parallel Distributed Syst., 2021)

BWA-MEM-SCALE: Accelerating Genome Sequence Mapping on Commodity Servers. - Changdae Kim; Kwangwon Koh; Taehoon Kim 001; Daegyu Han; Jiwon Seo 002 (ICPP, 2022)

DEHype: Retrofitting Hypervisors for a Resource-Disaggregated Environment. - Taehoon Kim 001; Kwangwon Koh; Changdae Kim; Eunji Pak; Yeonjeong Jeong; Sang-Hoon Kim (CLUSTER, 2023)

FusionFlow: Accelerating Data Preparation for Machine Learning with Hybrid CPU-GPU Processing. - Taeyoon Kim; Chanho Park; Mansur Mukimbekov; Heelim Hong; Minseok Kim; Ze Jin; Changdae Kim; Ji-Yong Shin; Myeongjae Jeon (Proc. VLDB Endow., 2023)

Efficient Hybrid Amplitude-Phase Quantization for Multi-Antenna Relay System. - Changdae Kim; Xianglan Jin 001 (CoRR, 2025)