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
Teaching
Undergraduate
- CSI4104: Compiler Design (2020F)
- CSI3102: Architecture of Computers (2020S)
- CSI3103: Programming Language Structures (2019F)
Graduate
- AAI5004: AI Accelerators (2020F)
- CSI6205: Processor Microarchitecture (2020S)
Current Students
- Jounghoo Lee (BSc in EEE, Yonsei Univ.)
- Jinwoo Choi (BSc in CS, Yonsei Univ.)
- Jaeyeon Kim (BSc in MSE, Yonsei Univ.)
Publications
-
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 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 AI
-
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
-
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, July-Dec. 2014
Architecture GPU
Professional Service
Organizing Committee
Program Committee
External Review Committee
External/Secondary Reviewer
- MICRO 2020 (external)
- DAC 2020 (secondary)
Journal Reviewer
Education & Prior Affiliations
- POSTECH, Pohang, South Korea
PhD & BSc in Computer Science and Engineering
- 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
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
