Subspace snooping: filtering snoops with operating system support. - Daehoon Kim; Jeongseob Ahn; Jaehong Kim 006; Jaehyuk Huh 001 (PACT, 2010)

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)

Architectural support for secure virtualization under a vulnerable hypervisor. - Seongwook Jin; Jeongseob Ahn; Sanghoon Cha; Jaehyuk Huh 001 (MICRO, 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)

Revisiting hardware-assisted page walks for virtualized systems. - Jeongseob Ahn; Seongwook Jin; Jaehyuk Huh 001 (ISCA, 2012)

Subspace Snooping: Exploiting Temporal Sharing Stability for Snoop Reduction. - Jeongseob Ahn; Daehoon Kim; Jaehong Kim 006; Jaehyuk Huh 001 (IEEE Trans. Computers, 2012)

Micro-Sliced Virtual Processors to Hide the Effect of Discontinuous CPU Availability for Consolidated Systems. - Jeongseob Ahn; Chang Hyun Park 001; Jaehyuk Huh 001 (MICRO, 2014)

Fast Two-Level Address Translation for Virtualized Systems. - Jeongseob Ahn; Seongwook Jin; Jaehyuk Huh 001 (IEEE Trans. Computers, 2015)

H-SVM: Hardware-Assisted Secure Virtual Machines under a Vulnerable Hypervisor. - Seongwook Jin; Jeongseob Ahn; Jinho Seol; Sanghoon Cha; Jaehyuk Huh 001; Seungryoul Maeng (IEEE Trans. Computers, 2015)

Enhancing DRAM Self-Refresh for Idle Power Reduction. - Byoungchan Oh; Nilmini Abeyratne; Jeongseob Ahn; Ronald G. Dreslinski; Trevor N. Mudge (ISLPED, 2016)

Accelerating critical OS services in virtualized systems with flexible micro-sliced cores. - Jeongseob Ahn; Chang Hyun Park 001; Taekyung Heo; Jaehyuk Huh 001 (EuroSys, 2018)

A load balancing technique for memory channels. - Byoungchan Oh; Nam Sung Kim; Jeongseob Ahn; Bingchao Li; Ronald G. Dreslinski; Trevor N. Mudge (MEMSYS, 2018)

Deduplicating TLB entries for shared pages. - Jeongseob Ahn (IEICE Electron. Express, 2018)

GrandSLAm: Guaranteeing SLAs for Jobs in Microservices Execution Frameworks. - Ram Srivatsa Kannan; Lavanya Subramanian; Ashwin Raju; Jeongseob Ahn; Jason Mars; Lingjia Tang (EuroSys, 2019)

Slicing the IO execution with ReLayTracer. - Ganguk Lee; Yeaseul Park; Jeongseob Ahn; Youngjin Kwon (CoRR, 2019)

LightCert: On designing a lighter certificate for resource-limited Internet-of-Things devices. - HyukSang Kwon; Jeongseob Ahn; JeongGil Ko (Trans. Emerg. Telecommun. Technol., 2019)

Caliper: Interference Estimator for Multi-tenant Environments Sharing Architectural Resources. - Ram Srivatsa Kannan; Michael Laurenzano; Jeongseob Ahn; Jason Mars; Lingjia Tang (ACM Trans. Archit. Code Optim., 2019)

A Study of Memory Placement on Hardware-Assisted Tiered Memory Systems. - Wonkyo Choe; Jonghyeon Kim; Jeongseob Ahn (IEEE Comput. Archit. Lett., 2020)

Reconciling Time Slice Conflicts of Virtual Machines With Dual Time Slice for Clouds. - Taeklim Kim; Chang Hyun Park 001; Jaehyuk Huh 001; Jeongseob Ahn (IEEE Trans. Parallel Distributed Syst., 2020)

Rethinking remote memory placement on large-memory systems with path diversity. - Wonkyo Choe; Sang-Hoon Kim; Jeongseob Ahn (APSys, 2021)

Exploring the Design Space of Page Management for Multi-Tiered Memory Systems. - Jonghyeon Kim; Wonkyo Choe; Jeongseob Ahn (USENIX ATC, 2021)

Zico: Efficient GPU Memory Sharing for Concurrent DNN Training. - Gangmuk Lim; Jeongseob Ahn; Wencong Xiao; Youngjin Kwon; Myeongjae Jeon (USENIX ATC, 2021)

Memory Harvesting in Multi-GPU Systems with Hierarchical Unified Virtual Memory. - Sangjin Choi; Taeksoo Kim; Jinwoo Jeong; Rachata Ausavarungnirun; Myeongjae Jeon; Youngjin Kwon; Jeongseob Ahn (USENIX ATC, 2022)

Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access. - Jinwoo Jeong; Seungsu Baek; Jeongseob Ahn (EuroSys, 2023)

EnvPipe: Performance-preserving DNN Training Framework for Saving Energy. - Sangjin Choi; Inhoe Koo; Jeongseob Ahn; Myeongjae Jeon; Youngjin Kwon (USENIX ATC, 2023)

Server load and network-aware adaptive deep learning inference offloading for edge platforms. - Jungmo Ahn; Youngki Lee 001; Jeongseob Ahn; JeongGil Ko (Internet Things, 2023)

Rethinking DRAM's Page Mode With STT-MRAM. - Byoungchan Oh; Nilmini Abeyratne; Nam Sung Kim; Jeongseob Ahn; Ronald G. Dreslinski; Trevor N. Mudge (IEEE Trans. Computers, 2023)

Interference-Aware DNN Serving on Heterogeneous Processors in Edge Systems. - Yeonjae Kim; Igjae Kim; Kwanghoon Choi 003; Jeongseob Ahn; Jongse Park; Jaehyuk Huh 001 (ICCD, 2024)

Accelerating LLM Serving for Multi-turn Dialogues with Efficient Resource Management. - Jinwoo Jeong; Jeongseob Ahn (ASPLOS (2), 2025)

Accelerating Page Migrations in Operating Systems With Intel DSA. - Jongho Baik; Jonghyeon Kim; Chang Hyun Park 001; Jeongseob Ahn (IEEE Comput. Archit. Lett., 2025)

GPU-Centric Memory Tiering for LLM Serving With NVIDIA Grace Hopper Superchip. - Woohyung Choi; Jinwoo Jeong; Hanhwi Jang; Jeongseob Ahn (IEEE Comput. Archit. Lett., 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)