Young Geun Kim

Orcid: 0000-0003-4713-819X

According to our database1, Young Geun Kim authored at least 24 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
GreenScale: Carbon-Aware Systems for Edge Computing.
CoRR, 2023

AMBITION: Ambient Temperature Aware VM Allocation for Edge Data Centers.
IEEE Access, 2023

2022
CAMDNN: Content-Aware Mapping of a Network of Deep Neural Networks on Edge MPSoCs.
IEEE Trans. Computers, 2022

Chasing Carbon: The Elusive Environmental Footprint of Computing.
IEEE Micro, 2022

Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

FedGPO: Heterogeneity-Aware Global Parameter optimization for Efficient Federated Learning.
Proceedings of the IEEE International Symposium on Workload Characterization, 2022

2021
Thermal-aware adaptive VM allocation considering server locations in heterogeneous data centers.
J. Syst. Archit., 2021

Energy-Efficient Mapping for a Network of DNN Models at the Edge.
Proceedings of the IEEE International Conference on Smart Computing, 2021

Revitalizing Self-Organizing Map: Anomaly Detection Using Forecasting Error Patterns.
Proceedings of the ICT Systems Security and Privacy Protection, 2021

AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning.
Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

2020
Signal Strength-Aware Adaptive Offloading with Local Image Preprocessing for Energy Efficient Mobile Devices.
IEEE Trans. Computers, 2020

An Adaptive Thermal Management Framework for Heterogeneous Multi-Core Processors.
IEEE Trans. Computers, 2020

AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance.
CoRR, 2020

AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2019
Memory streaming acceleration for embedded systems with CPU-accelerator cooperative data processing.
Microprocess. Microsystems, 2019

Temperature-aware Adaptive VM Allocation in Heterogeneous Data Centers.
Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

A Framework for Distributed Deep Neural Network Training with Heterogeneous Computing Platforms.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

2018
A Survey on Recent OS-Level Energy Management Techniques for Mobile Processing Units.
IEEE Trans. Parallel Distributed Syst., 2018

2017
Enhancing Energy Efficiency of Multimedia Applications in Heterogeneous Mobile Multi-Core Processors.
IEEE Trans. Computers, 2017

Signal strength-aware adaptive offloading for energy efficient mobile devices.
Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

An energy-efficient task scheduler for mobile web browsing.
Proceedings of the IEEE International Conference on Consumer Electronics, 2017

2015
Stabilizing CPU Frequency and Voltage for Temperature-Aware DVFS in Mobile Devices.
IEEE Trans. Computers, 2015

M-DTM: migration-based dynamic thermal management for heterogeneous mobile multi-core processors.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014
Measuring Variance between Smartphone Energy Consumption and Battery Life.
Computer, 2014


  Loading...