Suyeon Lee

Research Experience & interests

• Experience: Distributed Stream Processing Systems, Near-data Computing, Query Planning and Scheduling, Heterogeneous Computing (CPU-GPU), LSM-tree Based DBMS, Disaggregated Memory Systems

• Current Interests: Disaggregated (Memory) Systems, Tiered Memory Management, Application-aware Near-memory Computing, CXL, High Performance Communication, Computation Offloading, Control Planes of Distributed \& Networked Systems, Simulation (CXL, Memory, Network), Parallelization, Large-scale Graph Processing, Stateful Serverless Computing, Real-time Streaming, Query Planning

More details are here!

Education

• Doctor of Philosophy (Ph.D.), Computer Science (CS), Georgia Institute of Technology, Atlanta, GA, USA, August 2022 ~ Current

• Master of Science (M.S.), Computer Science and Engineering (CSE), Sogang University, Seoul, South Korea, September 2020 ~ February 2022 (Early Graduation)

• Bachelor of Science (B.S.), Computer Science and Engineering (CSE), Sogang University, Seoul, South Korea, March 2016 ~ August 2020 (Graduated Cum Laude)

• Exchange Student, School of Computer Science and Engineering (SCSE), Nanyang Technological University, Jurong West, Singapore, January 2019 ~ May 2019

Experience

• Research Associate Intern, Hewlett Packard Labs (@NDSL), Milpitas, CA, USA, May 2023 ~ Current

• Graduate Research Assistant, Georgia Institute of Technology, Atlanta, GA, USA, August 2022 ~ Current

• Computer Systems Researcher, Distributed Computing & Operating Systems Laboratory (DISCOS), Sogang University, Seoul, South Korea, March 2022 ~ July 2022

• Graduate Research Assistant, Distributed Computing & Operating Systems Laboratory (DISCOS), Sogang University, Seoul, South Korea, September 2020 ~ February 2022

• Graduate Teaching Assistant, Sogang University, Seoul, South Korea, September 2020 ~ June 2021

• Undergraduate Research Assistant, Distributed Computing & Operating Systems Laboratory (DISCOS), Sogang University, Seoul, South Korea, May 2019 ~ August 2020

• Web Develop Intern, Deep Bio Inc. (딥바이오), Seoul, South Korea, June 2019 ~ August 2019

• Google CodeU APAC Program Participant (Invite-only), Google Singapore, Remote Work in South Korea, May 2019 ~ August 2019

• Data Engineer (Summer Internship), Headstart Silicon Valley, CA, USA, June 2018 ~ July 2018

Publications

• [Under Submission & Arxiv Pre-print]

  1. Asynchronous Streaming for (CXL-based) Computational Remote Memory. Suyeon Lee and Ada Gavrilovska. The Sixth Young Architect Workshop (YArch’24, ASPLOS-W). January 2024.

  2. An Autonomous Parallelization of Transformer Model Inference on Heterogeneous Edge Devices. Juhyeon Lee, Insung Bahk, Hoseung Ki, Sinjin Jeong, Suyeon Lee and Donghyun Min. 38th ACM International Conference on Supercomputing (ICS’24). January 2024.

  3. LMStream: When Distributed Micro-Batch Stream Processing Systems Meet GPU. Suyeon Lee and Sungyoung Park. Cornell Arxiv. November 2021. [pdf]

• [Peer-reviewed International Conference/Workshop/Journal]

  1. MFence: Defending Against Memory Access Interference in a Disaggregated Cloud Memory Platform. Jinhoon Lee, Yeonwoo Jung, Suyeon Lee, Safdar Jamil, Sungyong Park, Kwangwon Koh, Hongyeon Kim, Kanho Kim, and Youngjae Kim. 38th ACM/SIGAPP Symposium On Applied Computing (SAC’23). March 2023. [pdf]

  2. zStream: Towards a Low Latency Micro-Batch Streaming System. Suyeon Lee (*), Yeonwoo Jeong (*), Kyuli Park, Gyeonghwan Jung, Sungyong Park. Cluster Computing. September 2022. (*: Equal Contribution) [pdf]

  3. Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark. Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park. 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C'21). September 2021. [pdf][video]

  4. Performance Analysis of Big Data ETL Process over CPU-GPU Heterogeneous Architectures. Suyeon Lee and Sunyong Park. 2021 IEEE 37th International Conference on Data Engineering Workshops (ICDEW'21). April 2021. [pdf][video]

• [Peer-reviewed Domestic Conference]

  1. Analysis for Apache Spark-based Bigdata Processing Framework Performance Optimization Factors. Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sunyong Park. Korea Software Congress (KSC'20) (한국정보과학회). July 2020. [pdf]

  2. Design and Implementation of a Preemptive GPU Memory Scheduler in Container Environments. Minwoo Koo, Suyeon Lee, Jaewon Son and Sungyong Park. Korea Software Congress (KSC'19) (한국정보과학회). December 2019. [pdf]

Projects

• Research Projects

1. GRIFFIN: Towards Resource Allocation in CXL Fabrics, Hewlett Packard Labs (@NDSL), Milpitas, CA, USA, May 2023 ~ Current

2. PRISM: Processing with Intelligent Storage and Memory, Semiconductor Research Corporation, Atlanta, GA, USA, January 2023 ~ Current

3. TRIM: Tera-scale In-memory Computing, Intel Corporation, Atlanta, GA, USA, August 2022 ~ Current

4. EMP: Developing an Application Programming Model in a Memory-centric Environment, Electronics and Telecommunications Research Institute, Seoul, South Korea, May 2021 ~ July 2022

5. Development of Real-time Distributed Computing Platform for Big Manufacturing Data, Koh Young Technology, Seoul, South Korea, September 2019 ~ September 2021

• Noteworthy Coursework Projects

1. Managing Computing Resources for VMs, Advanced Operating Systems, September 2022 ~ October 2022

2. Hacking and Bug Fixing of UxFS, Advanced Operating Systems, September 2020 ~ December 2020

3. Alarm Application: Full development from Android Programming to Linux Module Programming, Embedded Systems Software, March 2020 ~ June 2020

4. PintOS, Operating Systems, September 2019 ~ December 2019

5. Range Query & kNN Query: Implementation and Performance Analysis, Spatial Data Management and Application, September 2019 ~ December 2019

6. Scheduler in Container Environments, Introduction to Parallel and Distributed Programming, September 2019 ~ December 2019

• Independent Personal (Group) Projects

  1. AI, please find the real news!, NH Investment & Securities, November 2020 ~ December 2020

  2. IBM Call for code 2020 (Hackathon), IBM Korea, June 2020

  3. Far from home, Google CodeU APAC Program, May 2019 ~ August 2019

Honors & Awards

• [Fellowship] Kwanjeong Study Abroad Fellowship (관정해외유학장학금), Kwanjeong Educational Foundation (관정이종환교육재단), Fall 2022 ~ Fall 2026 (Expected)

• [Honor] Master's Degree with Early Graduation, Sogang University

• [Honor] Bachelor's Degree with Cum Laude, Sogang University

• [Award] The Encouragement Prize (장려상), Gas Station Imagination Project, SK Energy, March 2018

• [Scholarship] Government-funded Research Scholarships, Brain Korea 21, Fall 2020 ~ Fall 2021

• [Scholarship] Teaching Assistant scholarship, Sogang University, Fall 2020 ~ Spring 2021

• [Scholarship] 1986 Alumni Scholarships, Sogang University, Spring 2020

• [Scholarship] Sogang Global Scholarships, Sogang University, Fall 2018

• [Scholarship] Nanumteo Scholarships, Nanumteo Scholarship Association, Fall 2016

• [Scholarship] Seoul Youth Hope Scholarships, Seoul Scholarship Foundation, Spring 2016

Services

• Participation: CRA-WP Grad Cohort Workshop for Women 2024, HPE Tech Con 2024, PRISM 2023 (Spring and Fall), SoCC 2022, ACSOS 2021, ICDEW 2021

• [GTA] Embedded Systems Software, Sogang University, Spring Semester 2021

• [GTA] Operating Systems, Sogang University, Fall Semester 2020

• [UTA] Computational Thinking, Sogang University, Fall Semester 2019 / Spring Semester 2018

Languages: Korean (Native), English (Proficient), Portuguese (Beginner)

Programming Languages: C/C++, Python, Scala, Java, SQL, noSQL