I am a Staff Engineer at Samsung Electronics, specializing in the development of Processing-In-Memory (PIM) solutions. My academic background includes a Ph.D. in Electrical Engineering from KAIST, under the direction of Professor Minsoo Rhu, as well as a Master of Science from POSTECH, supervised by Professor Hanjun Kim, and a Bachelor of Science from POSTECH. My research expertise centers on system-level support for PIM architectures. 

• Samsung Electronics, Hwaseong, South Korea

  • Staff Engineer [Mar. 2025 ~ Present]

• KAIST, Daejeon, South Korea [Aug. 2018 ~ Feb. 2025]

  • Ph.D. in Electrical Engineering

• POSTECH, Pohang, South Korea [Mar. 2017 ~ Aug. 2018]

  • M.S. degree in Creative IT Engineering

  • Representative of Master Graduates

  • Thesis: Timing Analysis of CNN Inference on GPUs

  • Advisor: Hanjun Kim

• TU Berlin, Berlin, Germany [Feb. 2015 ~ Aug. 2015]

  • Exchange student

• POSTECH, Pohang, South Korea [Mar. 2012 ~ Aug. 2016]

  • B.S. in Mechanical Engineering

  • Graduate with Honors

• Kwanjeong Educational Foundation Scholarship [Mar. 2017 ~ Aug. 2018]

• Boeing Scholarship [Sep. 2015 ~ Feb. 2016]

• Korea Student Aid Foundation (KOSAF) Sholarship [Mar. 2012 ~ Aug. 2015]

• Dongjae Lee, Bongjoon Hyun, Taehun Kim, and Minsoo Rhu, "PIM-MMU: A Memory Management Unit for Accelerating Data Transfers in Commercial PIM Systems", The 55th IEEE/ACM International Symposium on Microarchitecture (MICRO-57), Austin, Texas, Nov. 2024

  • Acceptance rate: 22% (113 among 497)

  • [Paper]

• Dongjae Lee, Bongjoon Hyun, Taehun Kim, and Minsoo Rhu, "Analysis of Data Transfer Bottlenecks in Commercial PIM Systems: A Study with UPMEM-PIM", IEEE Computer Architecture Letters, Apr. 2024

  • [Paper]

• Bongjoon Hyun, Taehun Kim, Dongjae Lee, and Minsoo Rhu, "Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology", The 30th IEEE International Symposium on High-Performance Computer Architecture (HPCA-30), Edinburgh, Scotland, Mar. 2024

  • Best Paper Award

  • Acceptance rate: 18% (75 among 410)

  • [Paper] [Slide] [Presentation]

• Bongjoon Hyun, Jiwon Lee, and Minsoo Rhu, "Characterization and Analysis of Deep Learning for 3D Point Cloud Analytics", IEEE Computer Architecture Letters, Jul. 2021

  • [Paper]

• Bongjoon Hyun, Youngeun Kwon, Yujeong Choi, John Kim, and Minsoo Rhu, "NeuMMU: Architectural Support for Efficient Address Translations in NPUs," The 25th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-25), Lausanne, Switzerland, Mar. 2020

  • Selected for IEEE Micro Top Picks - Honorable Mention ("IEEE Micro - Special Issue on Top Picks from the 2020 Computer Architecture Conferences")

  • Acceptance rate: 18% (86 among 476)

  • [Paper] [Talk]

• Anti-lock Brake System for Bicycles