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Young Geun Kim
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2020 – today
- 2024
- [c13]Gyudong Kim, Mehdi Ghasemi, Soroush Heidari, Seungryong Kim, Young Geun Kim, Sarma B. K. Vrudhula, Carole-Jean Wu:
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning. MLSys 2024 - [i6]Gyudong Kim, Mehdi Ghasemi, Soroush Heidari, Seungryong Kim, Young Geun Kim, Sarma B. K. Vrudhula, Carole-Jean Wu:
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning. CoRR abs/2403.04207 (2024) - 2023
- [j11]Seung Hun Choi, Seon Young Kim, Young Geun Kim
, Joonho Kong
, Sung Woo Chung
:
AMBITION: Ambient Temperature Aware VM Allocation for Edge Data Centers. IEEE Access 11: 68501-68511 (2023) - [i5]Young Geun Kim, Udit Gupta, Andrew McCrabb, Yonglak Son, Valeria Bertacco, David Brooks, Carole-Jean Wu:
GreenScale: Carbon-Aware Systems for Edge Computing. CoRR abs/2304.00404 (2023) - 2022
- [j10]Udit Gupta
, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu:
Chasing Carbon: The Elusive Environmental Footprint of Computing. IEEE Micro 42(4): 37-47 (2022) - [j9]Soroush Heidari
, Mehdi Ghasemi
, Young Geun Kim, Carole-Jean Wu
, Sarma B. K. Vrudhula
:
CAMDNN: Content-Aware Mapping of a Network of Deep Neural Networks on Edge MPSoCs. IEEE Trans. Computers 71(12): 3191-3202 (2022) - [c12]Young Geun Kim, Carole-Jean Wu:
FedGPO: Heterogeneity-Aware Global Parameter optimization for Efficient Federated Learning. IISWC 2022: 117-129 - [c11]Jeong-Han Yun, Jonguk Kim, Won-Seok Hwang, Young Geun Kim, Simon S. Woo, Byung-Gil Min:
Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series. SAC 2022: 87-96 - [i4]Young Geun Kim, Carole-Jean Wu:
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning. CoRR abs/2211.16669 (2022) - 2021
- [j8]Young Geun Kim, Seon Young Kim
, Seung Hun Choi, Sung Woo Chung:
Thermal-aware adaptive VM allocation considering server locations in heterogeneous data centers. J. Syst. Archit. 117: 102071 (2021) - [c10]Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu:
Chasing Carbon: The Elusive Environmental Footprint of Computing. HPCA 2021: 854-867 - [c9]Young Geun Kim, Carole-Jean Wu:
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning. MICRO 2021: 183-198 - [c8]Young Geun Kim, Jeong-Han Yun, Siho Han, Hyoung Chun Kim, Simon S. Woo:
Revitalizing Self-Organizing Map: Anomaly Detection Using Forecasting Error Patterns. SEC 2021: 382-397 - [c7]Mehdi Ghasemi, Soroush Heidari
, Young Geun Kim, Aaron Lamb, Carole-Jean Wu, Sarma B. K. Vrudhula:
Energy-Efficient Mapping for a Network of DNN Models at the Edge. SMARTCOMP 2021: 25-30 - [i3]Young Geun Kim, Carole-Jean Wu:
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning. CoRR abs/2107.08147 (2021) - 2020
- [j7]Young Geun Kim
, Young Seo Lee, Sung Woo Chung
:
Signal Strength-Aware Adaptive Offloading with Local Image Preprocessing for Energy Efficient Mobile Devices. IEEE Trans. Computers 69(1): 99-111 (2020) - [j6]Young Geun Kim
, Minyong Kim, Joonho Kong
, Sung Woo Chung
:
An Adaptive Thermal Management Framework for Heterogeneous Multi-Core Processors. IEEE Trans. Computers 69(6): 894-906 (2020) - [c6]Young Geun Kim, Carole-Jean Wu:
AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning. MICRO 2020: 1082-1096 - [i2]Young Geun Kim, Carole-Jean Wu:
AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance. CoRR abs/2005.02544 (2020) - [i1]Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu:
Chasing Carbon: The Elusive Environmental Footprint of Computing. CoRR abs/2011.02839 (2020)
2010 – 2019
- 2019
- [j5]Kwangho Lee, Joonho Kong, Young Geun Kim, Sung Woo Chung:
Memory streaming acceleration for embedded systems with CPU-accelerator cooperative data processing. Microprocess. Microsystems 71 (2019) - [c5]Bontak Gu, Joonho Kong, Arslan Munir, Young Geun Kim:
A Framework for Distributed Deep Neural Network Training with Heterogeneous Computing Platforms. ICPADS 2019: 430-437 - [c4]Young Geun Kim, Jeong In Kim, Seung Hun Choi, Seon Young Kim, Sung Woo Chung:
Temperature-aware Adaptive VM Allocation in Heterogeneous Data Centers. ISLPED 2019: 1-6 - 2018
- [j4]Young Geun Kim
, Joonho Kong
, Sung Woo Chung
:
A Survey on Recent OS-Level Energy Management Techniques for Mobile Processing Units. IEEE Trans. Parallel Distributed Syst. 29(10): 2388-2401 (2018) - 2017
- [j3]Young Geun Kim, Minyong Kim, Sung Woo Chung:
Enhancing Energy Efficiency of Multimedia Applications in Heterogeneous Mobile Multi-Core Processors. IEEE Trans. Computers 66(11): 1878-1889 (2017) - [c3]Sang Jun Nam, Young Geun Kim, Sung Woo Chung:
An energy-efficient task scheduler for mobile web browsing. ICCE 2017: 188-189 - [c2]Young Geun Kim, Sung Woo Chung:
Signal strength-aware adaptive offloading for energy efficient mobile devices. ISLPED 2017: 1-6 - 2015
- [j2]Jae Min Kim, Young Geun Kim, Sung Woo Chung:
Stabilizing CPU Frequency and Voltage for Temperature-Aware DVFS in Mobile Devices. IEEE Trans. Computers 64(1): 286-292 (2015) - [c1]Young Geun Kim, Minyong Kim, Jae Min Kim, Sung Woo Chung:
M-DTM: migration-based dynamic thermal management for heterogeneous mobile multi-core processors. DATE 2015: 1533-1538 - 2014
- [j1]Minyong Kim, Young Geun Kim, Sung Woo Chung, Cheol Hong Kim:
Measuring Variance between Smartphone Energy Consumption and Battery Life. Computer 47(7): 59-65 (2014)
Coauthor Index
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