Dong

2026

  1. JSA ’26
    TandemServe: Network-Adaptive Prefill Orchestration for Edge–Cloud LLM Serving
    , Seongsu Park, Doeon Kim, Jihee Park, and Young H. Oh*,
    Journal of Systems Architecture, 2026.
    (Under Review)
  2. ICCAD ’26
    High-Coverage Outlier Representation in Low-Bit MX Formats for Efficient LLM Inference
    , Youngmin Cho, Yoontae Lee, Rojin Park, Sunjae Lee, Jonghyeok Park, Jimin Lee, Young H. Oh*, and Jeongwoo Park*,
    The 44th IEEE/ACM International Conference on Computer-Aided Design, 2026.
    (To Appear)
  3. DAC ’26 (WiP)
    Nucleus: A Reconfigurable Long-Context LLM Accelerator Using Adaptive Outlier-Aware KV Cache Quantization
    , Youngmin Cho, Yoontae Lee, Rojin Park, Sunjae Lee, Jimin Lee, Jeongwoo Park*, and Young H. Oh*,
    The 63rd ACM/IEEE Design Automation Conference (Work-in-Progress), 2026.

2025

  1. WWW ‘25
    Angular Distance-Guided Neighbor Selection for Graph-Based Approximate Nearest Neighbor Search
    , Sungjun Jung, Yongsang Park, Haeun Lee, Young H. Oh, and Jae W. Lee,
    The Web Conference, 2025.

2023

  1. IEEE TCAS-II ‘23
    A 4-bit 4.5ns-Latency Pseudo-ReRAM Computing-In-Memory Macro with Self Error-Correcting DTC-based WL drivers and 6-bit CDAC-less Column ADCs having Ultra-narrow Pitch
    , Jongho Kim, Young H. Oh, Hyeonsik Kim, Jae W. Lee, and Jintae Kim,
    IEEE Transactions on Circuits and Systems II: Express Briefs, 2023.
  2. C4ML-Workshop ‘23
    Universal Deep Learning Compiler: The end-to-end compiler-driven software infrastructure for AI accelerators and systems
    , Hanwoong Jung, Gyeongmin Lee, Bongjun Kim, Seokyoung Yoon, Heewoo Nam, Hyunjun Kim, Dongguen Lim, Young H. Oh, Hyunjun Shin, Hexiang Ji, Wei Chen, Ilya Palachev, Ilya Afanasyev, Dmitry Ryabko, and Pengcheng Liang,
    The 4th International Workshop on Compilers for Machine Learning, 2023.

2022

  1. PHD ‘22
    Hardware and Software Techniques for Improving NPU Resource Utilization
    , Young H. Oh,
    Ph.D. Thesis, Department of Electrical and Computer Engineering, Sungkyunkwan University, 2022.
  2. IEICE TIS ‘22
    Layerweaver+: A QoS-aware Layer-wise DNN Scheduler for Multi-tenant Neural Processing Units
    , Young H. Oh, Yunho Jin, Tae Jun Ham, and Jae W. Lee,
    IEICE Transactions on Information and Systems, 2022.

2021

  1. IEEE MICRO ‘21
    Accelerating Genomic Data Analytics with Composable Hardware Acceleration Framework
    , Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, and Lisa Wu,
    IEEE MICRO: Special Issue on Top Picks from the 2020 Computer Architecture Conferences, 2021.
  2. HPCA ‘21
    Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling
    , Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, and Jae W. Lee,
    The 27th IEEE International Symposium on High Performance Computer Architecture, 2021.
  3. IEEE Access ‘21
    An 8-bit Ring-Amplifier based Mixed-Signal MAC Circuit with Full Digital Interface and Variable Accumulation Length
    , Jongho Kim, Beomkyu Seo, Young H. Oh, Jung-Hoon Chun, Jae W. Lee, and Jintae Kim,
    IEEE Access, 2021.

2020

  1. HPCA ‘20
    A^3: Accelerating Neural Network Attention Mechanism with Approximation
    , Tae Jun Ham, Sung Jun Jung, Seonghak Kim, Young H. Oh, Yoon Ho Song, Junghoon Park, Sanghee Lee, Kyoung Park, Jae W. Lee, and Deog-Kyoon Jeong,
    The 26th IEEE International Symposium on High Performance Computer Architecture, 2020.
  2. ISCA ‘20
    Genesis: A Hardware Acceleration Framework for Genomic Data Analysis
    , Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, and Lisa Wu,
    The 47th ACM/IEEE International Symposium on Computer Architecture, 2020.
    *Selected as IEEE MICRO Top Picks from Computer Architecture Conferences in 2020. Selected for inclusion in ISCA@50 25-Year Retrospective: 1996-2020.

2018

  1. PACT ‘18
    A Portable Automatic Data Quantizer for Deep Neural Networks
    , Young H. Oh, Quan Quan, Daeyeon Kim, Seonghak Kim, Jun Heo, Jaeyoung Jang, Sung Jun Jung, and Jae W. Lee,
    The 27th IEEE International Conference on Parallel Architectures and Compilation Techniques, 2018.

2017

  1. ASPLOS ‘17
    Typed Architectures: Architectural Support for Lightweight Scripting
    , Channoh Kim, Jaehyeok Kim, Sungmin Kim, Dooyoung Kim, Namho Kim, Gitae Na, Young H. Oh, Hyeon Gyu Cho, and Jae W. Lee,
    The 22nd ACM Architectural Support for Programming Languages and Operating Systems, 2017.
    *Selected as ASPLOS Highlight Session.

2016

  1. ISCA ‘16
    Short-Circuit Dispatch: Accelerating Virtual Machine Interpreters on Embedded Processors
    , Channoh Kim, Sungmin Kim, Hyeon Gyu Cho, Dooyoung Kim, Jaehyeok Kim, Young H. Oh, Hakbeom Jang, and Jae W. Lee,
    The 43rd IEEE/ACM International Symposium on Computer Architecture, 2016.
  2. IEEE D&T ‘16
    An eDRAM-Based Approximate Register File for GPUs
    , Donghwan Jeong, Young H. Oh, Yongjun Park, and Jae W. Lee,
    IEEE Design & Test: Special Issues on Approximate Computing, 2016.

2015

  1. PPoPP-Poster ‘15
    JAWS: A JavaScript Framework for Adaptive CPU-GPU Work Sharing
    , Xianglan Piao, Channoh Kim, Younghwan Oh, Huiying Li, Jin Cheon Kim, Hanjun Kim, and Jae W. Lee,
    The 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015.

2014

  1. ISLPED ‘14
    eDRAM-based Tiered-Reliability Memory with Applications to Low-Power Frame Buffers
    , Kyungsang Cho, Yongjun Lee, Young H. Oh, Gyoo-cheol Hwang, and Jae W. Lee,
    IEEE/ACM International Symposium on Low Power Electronics and Design, 2014.
  2. WWW-Poster ‘14
    Efficient CPU-GPU Work Sharing for Data-Parallel JavaScript Workloads
    , Xianglan Piao, Channoh Kim, Younghwan Oh, Hanjun Kim, and Jae W. Lee,
    The 23rd International World Wide Web Conference, 2014.
  3. PRISM-Workshop ‘14
    Automatic Runtime Selection of Best Hardware for Data-Parallel JavaScript Kernels via Lifelong Profiling
    , Younghwan Oh, Xianglan Piao, Channoh Kim, and Jae W Lee,
    The 2nd International Workshop on Parallelism in Mobile Platforms, 2014.