Curriculum Vitae

[Download CV]

Research interest

• Computer Systems
  • Areas: Storage/Memory systems, Distributed systems, Operating systems, Database systems
  • Focus: Next‑generation systems for emerging memory (PM) and disaggregation (RDMA, CXL) technologies
    • Indexing, Caching, Concurrency, Crash consistency, Fault tolerance

Education

• Ph.D. in Computer Science, The University of Texas at Austin, 2023
  • Advisor: Vijay Chidambaram
  • Dissertation: Designing Key-Value Stores for Emerging Memory and Disaggregation Technologies
• M.S. in Computer Science Engineering, UNIST (Ulsan National Institute of Science & Technology), 2018
  • Advisor: Sam H. Noh
  • Thesis: Write-Optimal Radix Tree: A Deterministic Indexing Structure for Persistent Memory Storage Systems
• B.S. in Computer Engineering, Hongik University, 2015

Work experience

• Research Engineer, 01.2024~Present
  • Hewlett Packard Labs, Austin, TX, US
• Research Intern, 05.2021~08.2021
  • Microsoft Research, Redmond, WA, US
  • Duties included: Scaling out AMBROSIA, a general framework to build resilient distributed systems
  • Mentor: Jonathan Goldstein
• Research Associate Intern, 06.2019~08.2019
  • Hewlett Packard Labs, Palo Alto, CA, US
  • Duties included: Designing far-memory data structures optimized for one-sided operation
  • Mentors: Kimberly Keeton and Sharad Singhal
• Researcher, 03.2018~07.2018
  • UNIST (Ulsan National Institute of Science & Technology), Ulsan, South Korea
  • Duties included: Providing the compiler-directed crash consistency for PM-based systems
  • Supervisor: Sam H. Noh
• Research Associate Intern, 06.2017~09.2017
  • Hewlett Packard Labs, Palo Alto, CA, US
  • Duties included: Designing DRAM cache for key-value stores working on Fabric-attached memory
  • Mentors: Kimberly Keeton, Haris Volos, and Yupu Zhang
• Researcher, 10.2015~02.2016
  • UNIST (Ulsan National Institute of Science & Technology), Ulsan, South Korea
  • Duties included: Analyzing performance implications of index structures in PM‑based file systems
  • Supervisor: Sam H. Noh
• Signaller, 08.2010~05.2012
  • ROK DCC, Republic of Korea Armed Forces

Honors & Awards

• UT Austin Dean’s Prestigious Fellowship Supplement, 2022
• UT Austin Dean’s Prestigious Fellowship Supplement, 2021
• 2021 Microsoft Research PhD Fellowship, 2021~2023

Publications

Improving GPU Utilization with a Zero‑Copy Object Store for ML Applications

Taeklim Kim, Sekwon Lee, Sergey Serebryakov, Harumi Kuno, Sharad Singhal, and Christopher J. Rossbach, Poster at the 30th ACM Symposium on Operating Systems Principles (SOSP 2024).

DINOMO: An Elastic, Scalable, High-Performance Key-Value Store for Disaggregated Persistent Memory

Sekwon Lee, Soujanya Ponnapalli, Sharad Singhal, Marcos K. Aguilera, Kimberly Keeton, and Vijay Chidambaram, The 3rd Workshop On Resource Disaggregation and Serverless Computing (WORDS 2022, Extended abstract of VLDB 2023 paper).

DINOMO: An Elastic, Scalable, High-Performance Key-Value Store for Disaggregated Persistent Memory

Sekwon Lee, Soujanya Ponnapalli, Sharad Singhal, Marcos K. Aguilera, Kimberly Keeton, and Vijay Chidambaram, Proceedings of the VLDB Endowment, Volume 15, Issue 13 (VLDB 2023).

SplitFS: Reducing Software Overhead in File Systems for Persistent Memory

Rohan Kadekodi, Se Kwon Lee, Sanidhya Kashyap, Taesoo Kim, Aasheesh Kolli, and Vijay Chidambaram, The 11th Annual Non-Volatile Memories Workshop (NVMW 2020, Extended abstract of SOSP 2019 paper).

RECIPE : Converting Concurrent DRAM Indexes to Persistent-Memory Indexes

Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, and Vijay Chidambaram, The 11th Annual Non-Volatile Memories Workshop (NVMW 2020, Extended abstract of SOSP 2019 paper).

SplitFS: Reducing Software Overhead in File Systems for Persistent Memory

Rohan Kadekodi, Se Kwon Lee, Sanidhya Kashyap, Taesoo Kim, Aasheesh Kolli and Vijay Chidambaram, Proceedings of the 27th ACM Symposium on Operating Systems Principles (SOSP 2019).

RECIPE : Converting Concurrent DRAM Indexes to Persistent-Memory Indexes

Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, and Vijay Chidambaram, Proceedings of the 27th ACM Symposium on Operating Systems Principles (SOSP 2019).

iDO: Compiler-Directed Failure Atomicity for Nonvolatile Memory

Qingrui Liu, Joseph Izraelevitz, Se Kwon Lee, Michael L. Scott, Sam H. Noh, and Changhee Jung, The 10th Annual Non-Volatile Memories Workshop (NVMW 2019, Extended abstract of MICRO 2018 paper).

iDO: Compiler-Directed Failure Atomicity for Nonvolatile Memory

Qingrui Liu, Joseph Izraelevitz, Se Kwon Lee, Michael L. Scott, Sam H. Noh, and Changhee Jung, Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2018).

Memory-Oriented Distributed Computing at Rack Scale

Haris Volos, Kimberly Keeton, Yupu Zhang, Milind Chabbi, Se Kwon Lee, Mark Lillibridge, Yuvraj Patel, and Wei Zhang, Poster at the 9th ACM Symposium on Cloud Computing (SOCC 2018).

Software challenges for persistent fabric-attached memory

Haris Volos, Kimberly Keeton, Yupu Zhang, Milind Chabbi, Se Kwon Lee, Mark Lillibridge, Yuvraj Patel, and Wei Zhang, Poster at the 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018).

Ledger: Increasing Performance of POSIX Applications on Persistent Memory

Rohan Kadekodi, Se Kwon Lee, Aasheesh Kolli, and Vijay Chidambaram, Poster at the 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018).

PMAL: Enabling Lightweight Adaptation of Legacy File Systems on Persistent Memory Systems

Hyunsub Song, Young Je Moon, Se Kwon Lee, and Sam H. Noh, Proceedings of the 2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2017).

WORT: Write Optimal Radix Tree for Persistent Memory Storage Systems

Se Kwon Lee, K. Hyun Lim, Hyunsub Song, Beomseok Nam, and Sam H. Noh, The 8th Annual Non-Volatile Memories Workshop (NVMW 2017, Extended abstract of FAST 2017 paper).

Transforming Legacy File Systems into Persistent Memory Exploiting File Systems with MeLo@V

Hyunsub Song, Young Je Moon, Se Kwon Lee, and Sam H. Noh, The 8th Annual Non-Volatile Memories Workshop (NVMW 2017).

WORT: Write Optimal Radix Tree for Persistent Memory Storage Systems

Se Kwon Lee, K. Hyun Lim, Hyunsub Song, Beomseok Nam, and Sam H. Noh, Proceedings of the 15th USENIX Conference on File and Storage Technology (FAST 2017).

Adapting Legacy File Systems to Work Efficiently for Persistent Memory based Storage

Hyunsub Song, Young Je Moon, Se Kwon Lee, and Sam H. Noh, Poster at the 14th USENIX Conference on File and Storage Technology (FAST 2016).

Lightweight Adaptation of Legacy File Systems for Persistent Memory based Storage

Hyunsub Song, Young Je Moon, Se Kwon Lee, and Sam H. Noh, Proceedings of the 2016 Korea Computer Congress (KCC 2016, Best Paper Award).

Experimental Evaluation of File System Data Structures for New Memory based Storage

Se Kwon Lee, Hyunsub Song, Young Je Moon, and Sam H. Noh, Proceedings of the 2016 Korea Computer Congress (KCC 2016, Best Paper Award).

Skills

• Languages
  • C, C++, C#, Python
• System programming
  • Linux kernel, Memcached, Tizen
• Tools and libraries
  • Perf, Kubernetes, Docker, ZeroMQ, protobuf, YCSB benchmarks

Teaching

Fall 2023 TA for Distributed Systems (CS 380D)

Spring 2020 TA for Distributed Systems (CS 380D)

Fall 2018 TA for Elements of Software Design (CS 313E)

Spring 2016 TA for Objec-Oriented Programming

Spring 2015 TA for System Programming

Professional Activities

• PC Member for SoCC (2024)
• Reviewer for IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Architecture and Code Optimization, ACM Transactions on Storage (2024)
• Reviewer for IEEE Transactions on Computers (2023)
• Invited talk at IBM Research (May. 2023). Data‑Intensive Systems for Emerging Memory and Disaggregation Technologies
• Volunteered as Slack Co‑Chair for SOSP 2021
• Invited talk at Intel Labs (Oct. 2020). RECIPE : Converting Concurrent DRAM Indexes to Persistent‑Memory Indexes