Youngsok Kim (김영석)

Assistant Professor
Department of Computer Science
College of Computing
Yonsei University

Lab: High Performance Computing Platforms (HPCP) Lab
Email: youngsok@yonsei.ac.kr
Office: D703, Engineering Hall #4

Biography

I am currently an assistant professor in the Department of Computer Science at Yonsei University.

Before joining Yonsei University, I was a post-doc researcher at Seoul National University. I earned my PhD and BSc in Computer Science and Engineering from POSTECH under the supervision of Prof. Jangwoo Kim. During my PhD studies, I worked as an intern at Google Mountain View office and Samsung Electronics.

To prospective students: I am looking for motivated students interested in computer architecture and system software research. Please visit the website for my lab to see what research topics I am actively pursuing.


Research Interests


Current Students

Graduate Students Undergraduate Interns

Teaching

Undergraduate Graduate

Academic Service

Program Committee Organizing Committee Journal Reviewer

Selected Publications

1 denotes co-first authors.
* indicates (co-)correspondence.

  1. Pipe-BD: Pipelined Parallel Blockwise Distillation
    Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, and Jinho Lee
    26th Design, Automation and Test in Europe Conference (DATE), Apr. 2023 (to appear)
    System SW AI GPU

  2. Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
    Jaeyong Song1, Jinkyu Yim1, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, and Jinho Lee
    28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Mar. 2023 (to appear)
    System SW AI GPU

  3. SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators
    Mingi Yoo1, Jaeyong Song1, Jounghoo Lee, Namhyung Kim, Youngsok Kim*, and Jinho Lee*
    29th IEEE International Symposium on High-Performance Computer Architecture (HPCA), Feb.-Mar. 2023 (to appear)
    Architecture AI

  4. 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
    System SW Mobile AI Security

  5. Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing
    Shinnung Jeong, Yongwoo Lee, Jaeho Lee, Heelim Choi, Seungbin Song, Jinho Lee, Youngsok Kim, and Hanjun Kim
    31st International Conference on Parallel Architectures and Compilation Techniques (PACT), Oct. 2022
    System SW GPU

  6. Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
    Mingi Yoo1, Jaeyong Song1, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, and Jinho Lee
    31st International Conference on Parallel Architectures and Compilation Techniques (PACT), Oct. 2022
    Received the Best Paper Award among the 50 papers accepted to PACT 2022!
    Architecture AI

  7. 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
    Architecture GPU Modeling

  8. SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs
    Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, Peter Hofstee, Youngsok Kim, and Jinho Lee
    36th IEEE International Parallel and Distributed Processing Symposium (IPDPS), May-June 2022
    System SW GPU

  9. Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs
    Jounghoo Lee1, Jinwoo Choi1, Jaeyeon Kim, Jinho Lee, and Youngsok Kim*
    58th ACM/IEEE Design Automation Conference (DAC), Dec. 2021
    Architecture AI

  10. Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing
    Mingi Yoo1, Jaeyong Song1, Jounghoo Lee, Namhyung Kim, Youngsok Kim, and Jinho Lee
    IEEE Computer Architecture Letters (CAL), June 2021
    Architecture AI

  11. Thread-aware Area-efficient High-level Synthesis Compiler for Embedded Devices
    Changsu Kim, Shinnung Jeong, Sungjun Cho, Yongwoo Lee, William Song, Youngsok Kim, and Hanjun Kim
    19th ACM/IEEE International Symposium on Code Generation and Optimization (CGO), Mar. 2021
    System SW FPGA

  12. Real-Time Object Detection System with Multi-Path Neural Networks
    Seonyeong Heo, Sungjun Cho, Youngsok Kim, and Hanjun Kim
    26th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Apr. 2020
    System SW GPU AI

  13. FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning
    Eunjin Baek1, Hunjun Lee1, Youngsok Kim, and Jangwoo Kim
    52nd IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct. 2019
    Architecture Neuromorphic

  14. μLayer: Low Latency On-Device Inference Using Cooperative Single-Layer Acceleration and Processor-Friendly Quantization
    Youngsok Kim, Joonsung Kim, Dongju Chae, Daehyun Kim, and Jangwoo Kim
    14th ACM European Conference on Computer Systems (EuroSys), Mar. 2019
    System SW Mobile AI

  15. Flexon: A Flexible Digital Neuron for Efficient Spiking Neural Network Simulations
    Dayeol Lee1, Gwangmu Lee1, Dongup Kwon, Sunghwa Lee, Youngsok Kim, and Jangwoo Kim
    45th ACM/IEEE International Symposium on Computer Architecture (ISCA), June 2018
    Architecture Neuromorphic

  16. DCS-ctrl: A Fast and Flexible Device-Control Mechanism for Device-Centric Server Architecture
    Dongup Kwon1, Jaehyung Ahn1, Dongju Chae, Mohammadamin Ajdari, Jaewon Lee, Suheon Bae, Youngsok Kim, and Jangwoo Kim
    45th ACM/IEEE International Symposium on Computer Architecture (ISCA), June 2018
    Architecture FPGA

  17. Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks
    Amirali Boroumand, Saugata Ghose, Youngsok Kim, Rachata Ausavarungnirun, Eric Shiu, Rahul Thakur, Daehyun Kim, Aki Kuusela, Allan Knies, Parthasarathy Ranganathan, and Onur Mutlu
    23rd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Mar. 2018
    Architecture Mobile

  18. GPUpd: A Fast and Scalable Multi-GPU Architecture Using Cooperative Projection and Distribution
    Youngsok Kim, Jae-Eon Jo, Hanhwi Jang, Minsoo Rhu, Hanjun Kim, and Jangwoo Kim
    50th IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct. 2017
    Architecture GPU

  19. CloudSwap: A Cloud-Assisted Swap Mechanism for Mobile Devices
    Dongju Chae, Joonsung Kim, Youngsok Kim, Jangwoo Kim, Kyung-Ah Chang, Sang-Bum Suh, and Hyogun Lee
    16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 2016
    System SW Mobile

  20. Efficient Footprint Caching for Tagless DRAM Caches
    Hakbeom Jang1, Yongjun Lee1, Jongwon Kim, Youngsok Kim, Jangwoo Kim, Jinkyu Jeong, and Jae W. Lee
    22nd IEEE International Symposium on High Performance Computer Architecture (HPCA), Mar. 2016
    Architecture

  21. DCS: A Fast and Scalable Device-Centric Server Architecture
    Jaehyung Ahn1, Dongup Kwon1, Youngsok Kim, Mohammadamin Ajdari, Jaewon Lee, and Jangwoo Kim
    48th IEEE/ACM International Symposium on Microarchitecture (MICRO), Dec. 2015
    Architecture FPGA

  22. Stealing Webpages Rendered on Your Browser by Exploiting GPU Vulnerabilities
    Sangho Lee, Youngsok Kim, Jangwoo Kim, and Jong Kim
    35th IEEE Symposium on Security and Privacy (S&P), May 2014
    Security GPU

  23. GPUdmm: A High-Performance and Memory-Oblivious GPU Architecture Using Dynamic Memory Management
    Youngsok Kim, Jaewon Lee, Jae-Eon Jo, and Jangwoo Kim
    20th IEEE International Symposium on High Performance Computer Architecture (HPCA), Feb. 2014
    Architecture GPU

  24. ScaleGPU: GPU Architecture for Memory-Unaware GPU Programming
    Youngsok Kim, Jaewon Lee, Donggyu Kim, and Jangwoo Kim
    IEEE Computer Architecture Letters (CAL), 2014
    Architecture GPU

Honors and Awards