Minwoo Ahn

Systems Software Researcher

About Me

I am a post-doctoral research associate in the Department of Computer Science at Yonsei University, a member of the Scalable Systems Software Laboratory supervised by prof. Jinkyu Jeong. I received my Ph.D. degree in the Department of Electrical and Computer Engineering at Sungkyunkwan University and my B.S. degree in the Department of Semiconductor Systems Engineering at Sungkyunkwan University.

My research is based in operating systems, centers on performance analysis and optimization. Speficially, I focus on identifying bottlenecks and applying real-world optimizations for large-scale computing environments that incorporate emerging hardware devices.

  • Interests - Operating Systems, Performance Profiling, Storage Systems, Database Systems, HPC, Systems for AI
  • The PDF version of CV is available at here.

Experience

Yonsei University

Postdoctoral Research Associate

Sep. 2025 - Present

Google

Student Researcher

Feb. 2025 - June. 2025

Yonsei University

Graduate Research Associate

Mar. 2023 - Aug. 2025

Sungkyunkwan University

Graduate Research Associate

Mar. 2017 - Feb. 2023

Education

Sungkyunkwan University

Combined M.S./Ph.D. in Electrical and Computer Engineering

2017 - 2025

  • Dissertation: Application-level and System-wide Performance Profiling

  • Advisor: Jinkyu Jeong

Sungkyunkwan University

BS in Semiconductor Systems Engineering

2013 - 2017

  • Relevant Courseworks: Operating Systems, Computer Architecture, Multicore Systems, Embedded Systems

  • Graduation project: Implementation of user-level I/O (NVMeDirect) enabled in-memory key-value store

Korea Science Academy of KAIST (KSA)

2010 - 2013

  • Object-oriented programming and data structures, while also having a passion for mathematics and physics.

Publications

Conference Papers

  • [OSDI 2024] Minwoo Ahn, Jeongmin Han, Youngjin Kwon, and Jinkyu Jeong, “Identifying On-/Off-CPU Bottlenecks Together with Blocked Samples,” in Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2024), July 2024

  • [USENIX FAST 2021] Jiwon Woo, Minwoo Ahn, Gyusun Lee, and Jinkyu Jeong, “D2FQ: Device-Direct Fair Queueing for NVMe SSDs,” in Proceedings of 19th USENIX Conference on File and Storage Technologies (FAST 2021), Virtual event, Feb 2021

Journal Papers

  • Jaehyun Song, Minwoo Ahn, Gyusun Lee, Euiseong Seo, and Jinkyu Jeong, “A Performance-Stable NUMA Management Scheme for Linux-Based HPC Systems,” IEEE Access, vol. 9, pp. 52987-53002, March 2021, doi:10.1109/ACCESS.2021.3069991

  • Minwoo Ahn, Donghyun Kim, Taekeun Nam, and Jinkyu Jeong, “SCOZ: A System-Wide Causal Profiler for Multicore Systems,” Software: Practice and Experience, vol. 51, issue 5, pp. 1043-1058, May 2021, doi:10.1002/spe.2930

Domestic Papers (Korean)

  • Minjun Kim, Dongoh Kim, Minwoo Ahn, and Jinkyu Jeong, “MP-BCOZ: A Causal Profiler for Multi-Process Applications,” Korea Computer Congress, July. 2025.

  • Gaeul Kim, Minwoo Ahn, Donghyun Ko, and Jinkyu Jeong, “Performance Analysis of Large-Scale Data Loading Techniques in LSM-Tree Based Key-Value Store,” Korea Computer Congress, July. 2025.

  • Nayeon Kim, Seungwon Ha, Minwoo Ahn, and Jinkyu Jeong, “On-Deivce Large Language Model Inference with UFS-Based Storage,” Korea Computer Congress, July. 2025.

  • Minwoo Ahn, Jinkyu Jeong, “Simultaneous On-CPU and Off-CPU Performance Profiling of Applications Using bperf and BCOZ,” Communications of the Korean Institute of Information Scientists and Engineers, Mar. 2025.

  • Minwoo Ahn, Nayeon Kim, Chunkyu Park, and Jinkyu Jeong, “Performance Analysis of HPCG Benchmark,” Korean Society for Computational Science and Engineering, Sep. 2024.

  • Jeongmin Han, Minwoo Ahn, and Jinkyu Jeong, “Parallel Filter/Index Access for Improving Read Performance of LSM-Tree,” KIISE Transactions on Computing Practice (KTCP), Sep. 2023.
    • Invited Paper (Excellent Presentation Award)
  • Sangyoon Kwon, Minwoo Ahn, and Jinkyu Jeong, “GPU Kernel Speedup Predcition using GPU Causal Profiling,” Korea Software Congress, Dec. 2022.

  • Jeongmin Han, Minwoo Ahn, and Jinkyu Jeong, “Multi-Level Filter Access in LSM-tree using Asynchronous I/O,” Korea Software Congress, Dec. 2022.
    • Excellent Presentation Award
  • Sungyoon Kim, Sungjun Ha, Minwoo Ahn, and Jinkyu Jeong, “I/O Polling Task Placement on Hyperthreading-Enabled Multicore CPU,” Korea Computer Congress, July. 2019.
    • Excellent Paper Award

Projects

  • Korea Exascale Application Software Development Environments
    • Keywords: performance profiling, HPC
    • Goal: Performance profiling framework for exa-scale HPC applications.
    • National Research Foundation of Korea (NRF), Nov 2023 - Apr 2028
  • Research of Key-Value Stores for Exa-Scale SSDs
    • Keywords: NoSQL DBMS, storage systems, memory management
    • Goal: Cost-effective memory management of large-scale DBMS with peta-scale SSDs.
    • Samsung Electronics, Aug 2022 - Jul 2024
  • Causal Profiling for Heterogeneous Systems
    • Keywords: performance profiling, causal profiling, domain-specific accelerators
    • Goal: Developing causal profiler for heterogeneous systems that include SSDs along with GPU and FPGA.
    • National Research Foundation of Korea (NRF)
  • Application’s Performance Profiling and Optimization for Next-Generation SSDs
    • Keywords: storage systems, performance profiling, NoSQL DBMS
    • Goal: Performance profiling and optimization of applications with ultra-low latency SSDs.
    • Samsung Electronics, Aug 2020 - Jul 2022
  • High Performance Computing Environment and Storage System
    • Keywords: high-performance computing, OS noise, memory management, CPU scheduling
    • Goal: Light-weighted Linux kernel for heterogeneous high-performance computing.
    • National Research Foundation of Korea (NRF), Mar 2017 - Jun 2021

Presentations and Invited Talks

  • [Conference Talk, gRPConf '25] “Experiences With Integration of Io_uring Into gRPC-C++”, Aug 2025
  • [Invited Talk, KSC '24] “Identifying On-/Off-CPU Bottlenecks Together with Blocked Samples”, Dec 2024
  • [Conference Talk, KSCSE '24] “Performance Analysis of HPCG Benchmark”, Jul 2024
  • [Conference Talk, OSDI '24] “Identifying On-/Off-CPU Bottlenecks Together with Blocked Samples”, Jul 2024
  • [Poster Session, OSDI '24] “Identifying On-/Off-CPU Bottlenecks Together with Blocked Samples”, Jul 2024
  • [Workshop, KCC '24] “Light-weighted Causal Profiler for Exascale Computing”, Jun 2024
  • [Invited Talk, KCC '21] “D2FQ: Device-Direct Fair Queueing for NVMe SSDs”, June 2022

Professional Activities

  • Artifact Evaluation Committee, USENIX FAST 2026
  • Artifact Evaluation Committee, EuroSys 2025

Awards and Honors

  • Superior Research Award - Sungkyunkwan University, 2025
  • Certificate of Appreciation - Korean Institute of Information Scientists and Engineers, 2024
  • Excellent Poster Prize - Computer Systems Society, 2024
  • Excellent Presentation Prize - Korea Software Congress, 2022
  • Excellent Paper Prize - Korea Software Congress, 2019
  • Grand Prize (2nd place) - Korea Supercomputing Challenge, 2018
  • SKKU Scholarship, Mar. 2017 - Feb. 2020
  • Samsung Electronics Scholarship, Mar. 2016 - Feb. 2017
  • Samsung Electronics Scholarship (tuition and fees), Mar. 2013 - Feb. 2017

Teaching Experiences (TA)

  • System Programming Experiment - Introduction of UNIX programming, 2022
  • JAVA Programming Experiment - Basics of object-oriented programming (JAVA), 2022
  • Embedded Systems Design - FTL design in OpenSSD (Jasmine), 2018
  • Embedded Systems Experiment - Android kernel programming (virtual device), 2018, 2019, 2020, 2021
  • Operating Systems - Design of operating systems and exercises with xv6, 2017, 2018
  • Computer Architecture - Design of computer architecture and implementation of MIPS architecture, 2017, 2019, 2020
  • System Software Experiment 3 - Basics of object-oriented programming (C++), 2017, 2018

Technical Skills

  • Languages: C, C++, Java, Python, Kotlin
  • Skills: Linux kernel programming, System profiling (Linux perf, eBPF), android kernel programming, FTL programming