Yeonan Ha (하연안) Ph.D. Candidate (Advisor: Prof. Youngsok Kim) High Performance Computing Platforms (HPCP) Lab Department of Computer Science and Engineering Yonsei University Email: Google Scholar, dblp, LinkedIn

Research Interests

• Computer Architecture & Systems
• GPU Microarchitecture & Performance Modeling
• FPGA-based Acceleration & Prototyping
• Memory/Device Virtualization

Education

• Yonsei University
• Ph.D. in Computer Science and Engineering (Advisor: Prof. Youngsok Kim)
• Sep. 2021 - Feb. 2027
• Dissertation: Improving Memory Virtualization for Modern Accelerators

• Yonsei University
• B.S. in Computer Science and Engineering
• Mar. 2017 - Aug. 2021

Publications

• LATPC: Accelerating GPU Address Translation Using Locality-Aware TLB Prefetching and MSHR Compression
  Yeonan Ha, Jiho Park, Hanna Cha, Jiwon Lee, Joonsung Kim, Won Woo Ro, and Youngsok Kim
  58th IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct. 2025

• GCStack+GCScaler: Fast and Accurate GPU Performance Analyses Using Fine-Grained Stall Cycle Accounting and Interval Analysis
  Hanna Cha, Sungchul Lee, Jounghoo Lee, Yeonan Ha, Joonsung Kim, and Youngsok Kim
  52nd IEEE/ACM International Symposium on Computer Architecture (ISCA), June 2025

• GCStack: A GPU Cycle Accounting Mechanism for Providing Accurate Insight into GPU Performance
  Hanna Cha, Sungchul Lee, Yeonan Ha, Hanhwi Jang, Joonsung Kim, and Youngsok Kim
  IEEE Computer Architecture Letters (CAL), vol. 23, no. 2, July-Dec. 2024

• MPC-Wrapper: Fully Harnessing the Potential of Samsung Aquabolt-XL HBM2-PIM on FPGAs
  Jinwoo Choi¹, Yeonan Ha¹, Hanna Cha, Seil Lee, Sungchul Lee, Jounghoo Lee, Shin-haeng Kang, Bongjun Kim, Hanwoong Jung, Hanjun Kim, and Youngsok Kim
  32nd IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), May 2024

• Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring
  Jinwoo Choi, Yeonan Ha, Jounghoo Lee, Sangsu Lee, Jinho Lee, Hanhwi Jang, and Youngsok Kim
  IEEE Transactions on Computers (TC), vol. 72, no. 12, Dec. 2023

• GCoM: A Detailed GPU Core Model for Accurate Analytical Modeling of Modern GPUs
  Jounghoo Lee, Yeonan Ha, Suhyun Lee, Jinyoung Woo, Jinho Lee, Hanhwi Jang, and Youngsok Kim
  49th IEEE/ACM International Symposium on Computer Architecture (ISCA), June 2022

Patents

• Electronic device and method with processing in memory operation
  Bongjun Kim, Youngsok Kim, Sungchul Lee, Seil Lee, Suhyun Lee, Jounghoo Lee, Chaemin Lim, Hanna Cha, Jinwoo Choi, Yeonan Ha, and Hanwoong Jung
• US 2025/0335126 A1 (pending)
• KR 10-2025-0158412 (pending)

• Electronic device and method with hardware acceleration
  Bongjun Kim, Youngsok Kim, Sangsu Lee, Jounghoo Lee, and Yeonan Ha
• US 12,554,632 B2 (active)
• KR 10-2025-0019482 (pending)

• Apparatus and method for analyzing graphics processor performance based on graphics processor analytical model
  Youngsok Kim, Jounghoo Lee, Yeonan Ha, and Suhyun Lee
• US 12,223,561 B2 (active)
• KR 10-2024-0072351 (pending)

Honors and Awards

• Full Scholarship (Integrated-Undergraduate-and-Graduate Program)
• Graduate School, Yonsei University
• Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024

• Idea Incubation Fund
• Graduate School, Yonsei University
• Feb. 2026

• Graduate Student Poster Award (Best Award)
• Computer System Society, Korean Institude of Information Scientists and Engineers (KIISE)
• Jan. 2026

• Graduate Student Paper Award (Best Award)
• Graduate School, Yonsei University
• Aug. 2026

• Graduate Student Paper Award (Merit Award)
• Graduate School, Yonsei University
• Feb. 2025

Teaching Experience

• Tutor
• MAT2013: Probability and Statistics (Fall 2018)

• Teaching Assistant
• YCS1001-03: Computational Thinking and SW Programming (Spring 2019)
• YCS1001-04: Computational Thinking and SW Programming (Spring 2019)
• YCS1002-04: SW Programming (Fall 2020)
• CSI2101-01: Discrete Mathematics (Fall 2021)
• CSI3102-02: Architecture of Computers (Spring 2022)
• CSI2101-01: Discrete Mathematics (Fall 2022)