Young Geun Kim

33 papers A* 3A 3B 2C 1Misc 1Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Energy-Efficient, Delay-Constrained Edge Computing of a Network of DNNs. IEEE Trans. Computers Mehdi Ghasemi, Soroush Heidari, Young Geun Kim, Carole-Jean Wu, Sarma B. K. Vrudhula
2024	A	`conf`	CLOVER: Carbon Optimization of Federated Learning over Heterogeneous Clients. ISLPED Chanwoo Cho, Yonglak Son, Seongbin Park, Young Geun Kim
2024	Misc	`conf`	Elastic Execution of Multi-Tenant DNNs on Heterogeneous Edge MPSoCs. SEC Soroush Heidari, Mehdi Ghasemi, Young Geun Kim, Carole-Jean Wu, Sarma B. K. Vrudhula
2024	—	`conf`	HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning. MLSys Gyudong Kim, Mehdi Ghasemi, Soroush Heidari, Seungryong Kim, Young Geun Kim, Sarma B. K. Vrudhula, Carole-Jean Wu
2024	J	`jnl`	HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning. CoRR Gyudong Kim, Mehdi Ghasemi, Soroush Heidari, Seungryong Kim, Young Geun Kim, Sarma B. K. Vrudhula, Carole-Jean Wu
2024	—	`conf`	Mediator: Characterizing and Optimizing Multi-DNN Inference for Energy Efficient Edge Intelligence. IISWC Seung Hun Choi, Myung Jae Chung, Young Geun Kim, Sung Woo Chung
2024	J	`jnl`	Near-Memory Computing With Compressed Embedding Table for Personalized Recommendation. IEEE Trans. Emerg. Top. Comput. Jeongmin Lim, Young Geun Kim, Sung Woo Chung, Farinaz Koushanfar, Joonho Kong
2024	J	`jnl`	Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models. CoRR Hyegang Son, Yonglak Son, Changhoon Kim, Young Geun Kim
2023	J	`jnl`	AMBITION: Ambient Temperature Aware VM Allocation for Edge Data Centers. IEEE Access Seung Hun Choi, Seon Young Kim, Young Geun Kim, Joonho Kong, Sung Woo Chung
2023	J	`jnl`	GreenScale: Carbon-Aware Systems for Edge Computing. CoRR Young Geun Kim, Udit Gupta, Andrew McCrabb, Yonglak Son, Valeria Bertacco, David Brooks, Carole-Jean Wu
2022	J	`jnl`	CAMDNN: Content-Aware Mapping of a Network of Deep Neural Networks on Edge MPSoCs. IEEE Trans. Computers Soroush Heidari, Mehdi Ghasemi, Young Geun Kim, Carole-Jean Wu, Sarma B. K. Vrudhula
2022	J	`jnl`	Chasing Carbon: The Elusive Environmental Footprint of Computing. IEEE Micro Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2022	J	`jnl`	FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning. CoRR Young Geun Kim, Carole-Jean Wu
2022	—	`conf`	FedGPO: Heterogeneity-Aware Global Parameter optimization for Efficient Federated Learning. IISWC Young Geun Kim, Carole-Jean Wu
2021	A*	`conf`	AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning. MICRO Young Geun Kim, Carole-Jean Wu
2021	J	`jnl`	AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning. CoRR Young Geun Kim, Carole-Jean Wu
2021	A*	`conf`	Chasing Carbon: The Elusive Environmental Footprint of Computing. HPCA Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2021	B	`conf`	Energy-Efficient Mapping for a Network of DNN Models at the Edge. SMARTCOMP Mehdi Ghasemi, Soroush Heidari, Young Geun Kim, Aaron Lamb, Carole-Jean Wu, Sarma B. K. Vrudhula
2021	J	`jnl`	Thermal-aware adaptive VM allocation considering server locations in heterogeneous data centers. J. Syst. Archit. Young Geun Kim, Seon Young Kim, Seung Hun Choi, Sung Woo Chung
2020	J	`jnl`	An Adaptive Thermal Management Framework for Heterogeneous Multi-Core Processors. IEEE Trans. Computers Young Geun Kim, Minyong Kim, Joonho Kong, Sung Woo Chung
2020	A*	`conf`	AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning. MICRO Young Geun Kim, Carole-Jean Wu
2020	J	`jnl`	AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance. CoRR Young Geun Kim, Carole-Jean Wu
2020	J	`jnl`	Chasing Carbon: The Elusive Environmental Footprint of Computing. CoRR Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2020	J	`jnl`	Signal Strength-Aware Adaptive Offloading with Local Image Preprocessing for Energy Efficient Mobile Devices. IEEE Trans. Computers Young Geun Kim, Young Seo Lee, Sung Woo Chung
2019	B	`conf`	A Framework for Distributed Deep Neural Network Training with Heterogeneous Computing Platforms. ICPADS Bontak Gu, Joonho Kong, Arslan Munir, Young Geun Kim
2019	J	`jnl`	Memory streaming acceleration for embedded systems with CPU-accelerator cooperative data processing. Microprocess. Microsystems Kwangho Lee, Joonho Kong, Young Geun Kim, Sung Woo Chung
2019	A	`conf`	Temperature-aware Adaptive VM Allocation in Heterogeneous Data Centers. ISLPED Young Geun Kim, Jeong In Kim, Seung Hun Choi, Seon Young Kim, Sung Woo Chung
2018	J	`jnl`	A Survey on Recent OS-Level Energy Management Techniques for Mobile Processing Units. IEEE Trans. Parallel Distributed Syst. Young Geun Kim, Joonho Kong, Sung Woo Chung
2017	C	`conf`	An energy-efficient task scheduler for mobile web browsing. ICCE Sang Jun Nam, Young Geun Kim, Sung Woo Chung
2017	J	`jnl`	Enhancing Energy Efficiency of Multimedia Applications in Heterogeneous Mobile Multi-Core Processors. IEEE Trans. Computers Young Geun Kim, Minyong Kim, Sung Woo Chung
2017	A	`conf`	Signal strength-aware adaptive offloading for energy efficient mobile devices. ISLPED Young Geun Kim, Sung Woo Chung
2015	J	`jnl`	Stabilizing CPU Frequency and Voltage for Temperature-Aware DVFS in Mobile Devices. IEEE Trans. Computers Jae Min Kim, Young Geun Kim, Sung Woo Chung
2014	J	`jnl`	Measuring Variance between Smartphone Energy Consumption and Battery Life. Computer Minyong Kim, Young Geun Kim, Sung Woo Chung, Cheol Hong Kim