Youngsok Kim (김영석) Assistant Professor Dept. of Computer Science & Dept. of Artificial Intelligence 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 and the Department of Artificial Intelligence 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 systems research. Please visit the website for my lab to see what research topics I am actively pursuing.

Research Interests

• Computer architecture and systems
• GPU architecture for computer graphics and general-purpose computing
• Architectural and system-level support for artificial intelligence
• Processor performance modeling
• FPGA-based acceleration

Education & Prior Affiliations

• POSTECH, Pohang, South Korea
  PhD & BSc in Computer Science and Engineering (Advisor: Prof. Jangwoo Kim)


• Seoul National University, Seoul, South Korea
  Post-doc Researcher (Advisor: Prof. Jangwoo Kim)
  Department of Electrical and Computer Engineering


• Google Inc., Mountain View, CA, USA
  Hardware Engineering Intern (Mentor: Dr. Daehyun Kim)
  Performance and Simulation Team, Consumer Hardware


• Samsung Electronics, Hwaseong, South Korea
  Research Intern (Mentor: Dr. Taekhyun Kim)
  S/W Solution Development Team, System LSI Business

Current Students

• Jounghoo Lee (BSc in EEE, Yonsei Univ.)
• Jinwoo Choi (BSc in CS, Yonsei Univ.)
• Jaeyeon Kim (BSc in MSE, Yonsei Univ.)
• Chaemin Lim (BEng in CE, HUFS)

• Yeonan Ha (Dept. of CS, Yonsei Univ.)
• Suhyun Lee (Dept. of CS, Yonsei Univ.)

Teaching

• CSI3102: Architecture of Computers (2020S, 2021S)
• CSI3103: Programming Language Structures (2019F)
• CSI4104: Compiler Design (2020F)

• AAI5004: AI Accelerators (2020F)
• CSI6205: Processor Microarchitecture (2020S)

Publications

• Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs
  Jounghoo Lee, Jinwoo Choi, Jaeyeon Kim, Jinho Lee, and Youngsok Kim
  58th ACM/IEEE Design Automation Conference (DAC), July 2021 (to appear)
  Architecture AI


• DANCE: Differentiable Accelerator/Network Co-Exploration
  Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, and Jinho Lee
  58th ACM/IEEE Design Automation Conference (DAC), July 2021 (to appear)
  Modeling AI


• 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
  Modeling FPGA


• 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
  Modeling GPU AI


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


• 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


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


• DCS-ctrl: A Fast and Flexible Device-Control Mechanism for Device-Centric Server Architecture
  Dongup Kwon, Jaehyung Ahn, 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


• 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


• 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


• 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


• Efficient Footprint Caching for Tagless DRAM Caches
  Hakbeom Jang, Yongjun Lee, 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


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


• 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


• 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


• ScaleGPU: GPU Architecture for Memory-Unaware GPU Programming
  Youngsok Kim, Jaewon Lee, Donggyu Kim, and Jangwoo Kim
  IEEE Computer Architecture Letters (CAL), 13(2):101-104, 2014
  Architecture GPU

Professional Service

• HPCA 2021 (website chair)
• ISCA 2018 (website co-chair)

• HPC Asia 2021

• HPCA 2021

• MICRO 2020 (external)
• DAC 2020 (secondary)

• ACM TACO 2020
• IEEE TMC 2020
• IEEE Micro 2020
• IEEE Access 2019, 2020
• IEEE CAL 2019
• Cluster Computing 2019
• Measurement 2019

Honors and Awards

• Global Ph.D. Fellowship (글로벌 박사 펠로우십), NRF
• Presidential Science Scholarship (대통령 과학 장학금), KOSEF


• 3rd place (team plus@postech) @ DEF CON 17 Capture the Flag (CTF)
• 6th place @ 2010 ACM International Collegiate Programming Contest (ICPC) – Daejeon Site