Hi! I’m Chaemin Lim, a Ph.D. student at Yonsei University / HPCP Lab, advised by Prof. Youngsok Kim.

I work on databases close to the metal: query engines, join algorithms, and execution strategies for GPUs and processing-in-memory (PIM) hardware. I care about making analytical workloads stop being bottlenecked by data movement.

Research Interests

• Database acceleration on modern hardware (GPU, PIM, NVMe)
• Query processing and engine architecture
• Join algorithms and skew handling
• Hardware-aware optimizer and compiler support
• Concurrent and lock-free data structures

Publications

1. FaScalSQL: A Fast and Scalable GPU-Accelerated SQL Query Engine for Out-of-Memory Tables [GitHub]
   Chaemin Lim, Suhyun Lee, Jinwoo Choi, Kwanghyun Park, Jinho Lee, Joonsung Kim, and Youngsok Kim.
   42nd IEEE International Conference on Data Engineering (ICDE), May 2026.
2. DMO-DB: Mitigating the Data Movement Bottlenecks of GPU-Accelerated Relational OLAP
   Chaemin Lim, Suhyun Lee, Jinwoo Choi, Joonsung Kim, Jinho Lee, and Youngsok Kim.
   34th International Conference on Parallel Architectures and Compilation Techniques (PACT), Nov. 2025.
3. SPID-Join: A Skew-resistant Processing-in-DIMM Join Algorithm Exploiting the Bank- and Rank-level Parallelisms of DIMMs [GitHub]
   Suhyun Lee, Chaemin Lim, Jinwoo Choi, Heelim Choi, Chan Lee, Yongjun Park, Kwanghyun Park, Hanjun Kim, and Youngsok Kim.
   2025 ACM International Conference on Management of Data (SIGMOD), June 2025.
4. PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMMs [GitHub]
   Si Ung Noh¹, Junguk Hong¹, Chaemin Lim, Seongyeon Park, Jeehyun Kim, Hanjun Kim, Youngsok Kim, and Jinho Lee.
   51st IEEE/ACM International Symposium on Computer Architecture (ISCA), June–July 2024. ¹Co-first authors
5. Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs [GitHub]
   Chaemin Lim, Suhyun Lee, Jinwoo Choi, Jounghoo Lee, Seongyeon Park, Hanjun Kim, Jinho Lee, and Youngsok Kim.
   2023 ACM SIGMOD International Conference on Management of Data (SIGMOD), June 2023.
6. GuardiaNN: Fast and Secure On-Device Inference in TrustZone Using Embedded SRAM and Cryptographic Hardware
   Jinwoo Choi¹, Jaeyeon Kim¹, Chaemin Lim¹, Suhyun Lee, Jinho Lee, Dokyung Song, and Youngsok Kim.
   23rd ACM/IFIP International Middleware Conference (Middleware), Nov. 2022. ¹Co-first authors

Invited Talks

• A Fast Processing-in-DIMM Join Algorithm Exploiting UPMEM DIMMs @ ABUMPIMP, EUROPAR 2023. [YouTube]

Awards

• [2024] Encouragement Prize, Samsung Humantech Paper Awards (삼성휴먼테크논문대상) — "PID-Comm: Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices" (Junguk Hong, Si Ung Noh, Seongyeon Park, and Chaemin Lim).

Employment

• [Aug 2025 - ] System Architect Intern, Mangoboost

Education

• [2023 - ] Ph.D. Student, Department of Computer Science, Yonsei University
• [2021 - 2023] MSc in Artificial Intelligence, Yonsei University
• [2019 - 2021] BEng in Computer Engineering, Hankuk University of Foreign Studies (Double Major)
• [2017 - 2021] BA in Journalism, Hankuk University of Foreign Studies

Funded Projects

• Development of New Concept PIM Semiconductor Leading Technology — Institute for Information & Communications Technology Planning & Evaluation (IITP)
• STACK: Smart, Attack-Resistant Internet of Things Networks — Korea Institute for Advancement of Technology (KIAT)

Misc

• I believe every useful computational device ever built can run DOOM.