Young Geun Kim
(김영근)
(김영근)
Young Geun Kim is an Assistant Professor of the Department of Computer Science and Engineering at Korea University.
His research focus lies in the domain of computer system architecture with particular emphasis on energy-efficient and low-power systems. His recent research has pivoted into designing efficient systems for machine learning execution (e.g., DNN inference, personalized recommendation, federated learning, etc.) at the edge.
System Design and Optimization for Machine Learning
Energy Efficiency Optimization of Mobile/Edge Systems
Thermal Management of Multi-scale Heterogeneous Systems
Research Experience and Education
Mar. 2022 ~ Present: Assistant Professor, Computer Science and Engineering, Korea University
Sep. 2020 ~ Feb. 2022: Assistant Professor, Software, Soongsil University
Sep. 2019 ~ Aug. 2020: Postdoctoral Research Associate, Computing, Informatics, & Decision Systems Engineering, Arizona State University
(Advisor: Prof. Carole-Jean Wu)Sep. 2018 ~ Aug. 2019: Research Professor, Computer Science & Engineering, Korea University
Aug. 2018: Ph.D. in Computer Science & Engineering, Korea University
(Advisor: Prof. Sung Woo Chung)Feb. 2014: B.S. in Computer Science & Engineering, Korea University
Teaching
Low-Power Computing (Undergraduate), Spring 2024
Computer Architecture (Undergraduate), Fall 2023
Computer Architecture (Undergraduate), Spring 2023
Advanced Computer Architecture (Graduate), Spring 2023Computer Architecture (Undergraduate), Fall 2022
Advanced Embedded Systems (Graduate), Fall 2022Computer Architecture (Undergraduate), Spring 2022
Mobile Computing (Graduate), Spring 2022Operating Systems (Undergraduate), Fall 2021
Computer Architecture (Undergraduate), Spring 2021
Operating Systems (Undergraduate), Fall 2020
Computer Architecture (Undergraduate), Fall 2018
Logic Design (Undergraduate), Spring 2017
[ISLPED '24] CLOVER: Carbon Optimization of Federated Learning over Heterogeneous Clients
Chanwoo Cho†, Yonglak Son†, Seongbin Park, and Young Geun Kim*
To appear in IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2024[TETC '24] Near-Memory Computing with Compressed Embedding Table for Personalized Recommendation
Jeongmin Lim, Young Geun Kim, Sung Woo Chung, Farinaz Koushanfar, and Joonho Kong
IEEE Transactions on Emerging Topics in Computing, accepted.[MLSys '24] HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
Gyudong Kim, M. Ghasemi, S. Heidari, Seungryong Kim, Young Geun Kim*, Sarma Vrudhula, and Carole-Jean Wu
In Proceedings of Annual Conference on Machine Learning and Systems (MLSys), 2024[ACCESS '23] AMBITION: Ambient Temperature Aware VM Allocation for Edge Data Centers
Seung Hun Choi, Seon Young Kim, Young Geun Kim*, Joonho Kong, and Sung Woo Chung
IEEE Access, vol. 11, pp. 68501-68511, 2023.[TC '22] CAMDNN: Content-Aware Mapping of a Network of Deep Neural Networks on Edge MPSoCs
Soroush Heidari, Mehdi Ghasemi, Young Geun Kim, Carole-Jean Wu, and Sarma Vrudhula
IEEE Transactions on Computers, vol. 71, no. 12, pp. 3191-3202, 2022.[IISWC '22] FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning
Young Geun Kim* and Carole-Jean Wu
In Proceedings of the IEEE International Symposium on Workload Characterization (IISWC), 2022[WCMC '22] LiDAR: A Light-Weight Deep Learning-based Malware Classifier for Edge Devices
Jinsung Kim, Younghoon Ban, Geochang Jeon, Young Geun Kim, and Haehyun Cho
Wireless Communications and Mobile Computing, vol. 2022, article 2117883, pp. 1-9, 2022.[MICRO '21] AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning
Young Geun Kim* and Carole-Jean Wu
In Proceedings of IEEE/ACM International Symposium on Microarchitecture (MICRO), 2021[SMARTCOMP '21] Energy-Efficient Mapping of a Network of DNN Models at the Edge
Mehdi Ghasemi, Soroush Heidari, Young Geun Kim, Aaron Lamb, Carole-Jean Wu, and Sarma Vrudhula
In Proceedings of the IEEE International Conference on Smart Computing (SMARTCOMP), 2021[JSA '21] Thermal-aware Adaptive VM Allocation Considering Server Locations in Heterogeneous Data Centers
Young Geun Kim, Seon Young Kim, Seung Hun Choi, and Sung Woo Chung
Journal of Systems Architecture (JSA), vol. 117, 2021[HPCA '21] Chasing Carbon: The Elusive Environmental Footprint of Computing
Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, and Carole-Jean Wu
In Proceedings of the IEEE International Symposium on High Performance Computer Architecture (HPCA), 2021
Selected for IEEE MICRO Top Picks[MICRO '20] AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning
Young Geun Kim* and Carole-Jean Wu
In Proceedings of the IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020[TC '20] An Adaptive Thermal Management Framework for Heterogeneous Multi-core Processors
Young Geun Kim, Minyong Kim, Joonho Kong, and Sung Woo Chung
IEEE Transactions on Computers (TC), vol. 69, no. 6, pp. 894-906, 2020[TC '20] Signal Strength-aware Adaptive Offloading with Local Image Preprocessing for Energy Efficient Mobile Devices
Young Geun Kim, Young Seo Lee, and Sung Woo Chung
IEEE Transactions on Computers (TC), vol. 69, no. 1, pp. 99-111, 2020[ICPADS '19] A Framework for Distributed Deep Neural Network Training with Heterogeneous Computing Platforms
Bontak Gu, Joonho Kong, Aslan Munir, and Young Geun Kim
In Proceedings of the IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2019[MICPRO '19] Memory Streaming Acceleration for Embedded Systems with CPU-Accelerator Cooperative Data Processing
Kwangho Lee, Joonho Kong, Young Geun Kim and Sung Woo Chung
Microprocessors and Microsystems (MICPRO), vol. 71, 2019[ISLPED '19] Temperature-aware Adaptive VM Allocation in Heterogeneous Data Centers
Young Geun Kim, Jeong In Kim, Seung Hun Choi, Seon Young Kim, and Sung Woo Chung
In Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019[COOLChips '19] A Machine Learning-based CPU Temperature Prediction Model considering Environmental Features
Seung Hun Choi, Seon Young Kim, Young Geun Kim, and Sung Woo Chung
IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOLChips), 2019 (poster)[TPDS '18] A Survey on Recent OS-level Energy Management Techniques for Mobile Processing Units
Young Geun Kim, Joonho Kong, and Sung Woo Chung
IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 29, no. 10, pp. 2388-2401, 2018[TC '17] Enhancing Energy Efficiency of Multimedia Applications in Heterogeneous Mobile Multi-core Processors
Young Geun Kim, Minyong Kim, and Sung Woo Chung
IEEE Transactions on Computers (TC), vol. 66, no. 11, pp. 1878-1889, 2017[ISLPED '17] Signal Strength-aware Adaptive Offloading for Energy Efficient Mobile Devices
Young Geun Kim and Sung Woo Chung
In Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2017[ICCE '17] An Energy-efficient Task Scheduler for Mobile Web Browsing
Sang Jun Nam, Young Geun Kim, and Sung Woo Chung
IEEE International Conference on Consumer Electronics (ICCE), 2017[DATE '15] M-DTM: Migration-based Dynamic Thermal Management for Heterogeneous Mobile Multi-core Processors
Young Geun Kim, Minyong Kim, Jae Min Kim, and Sung Woo Chung
In Proceedings of Design, Automation, and Test in Europe Conference (DATE), 2015[ETRIJ '15] A Novel GPU Power Model for Accurate Smartphone Power Breakdown
Young Geun Kim, Minyong Kim, Jae Min Kim, Minyoung Sung, and Sung Woo Chung
ETRI Journal, vol. 37, no. 1, pp. 157-164, 2015[TC '15] Stabilizing CPU Frequency and Voltage for Temperature-aware DVFS in Mobile Devices
Jae Min Kim, Young Geun Kim, and Sung Woo Chung
IEEE Transactions on Computers, vol. 64, no. 1, pp. 286-292, 2015[COMPUTER '14] Measuring Variance between Smartphone Energy Consumption and Battery Life
Minyong KIm, Young Geun Kim, Sung Woo Chung, and Cheol Hong Kim
IEEE Computer Magazine, vol. 47, no. 7, pp. 59-65, 2014[ICCSEE '13] Loop Restructuring for Performance Enhancement in ARM-based Microprocessors
Jae Min Kim, Young Geun Kim, and Sung Woo Chung
International Conference on Computer Science and Electronics Engineering (ICCSEE), 2013
Technical Service
Program Committee of IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) 2023-2024
Program Committee of Design Automation Conference (DAC) 2024
Program Committee of IEEE International Symposium on High Performance Computer Architecture (HPCA) 2022
Reviewer of IEEE/ACM International Symposium on Microarchitecture (MICRO) 2020
Reviewer of Workshop on Benchmarking Machine Learning Workloads (MLBench) 2020
Reviewer of ACM/EDAC/IEEE Design Automation Conference (DAC) 2015-2018
Reviewer of IEEE Int’l Symposium on Low Power Electronics and Design (ISLPED) 2016-2018
Reviewer of IEEE Computer Architecture Letters (CAL)
Reviewer of ACM Transactions on Architecture and Code Optimization (TACO)
Reviewer of IEEE Transactions on Computers (TC)
Reviewer of IEEE Transactions on Very Large Scale Integration Systems (TVLSI)
Reviewer of Journal of Parallel and Distributed Computing (JPDC)
Contact Information
E-mail: younggeun_kim@korea.ac.kr
Office: Woojung Informatics Building #409A
Address: Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, South Korea 02841
Tel: +82-2-3290-4609