zTT: Learning-based DVFS with zero thermal throttling for mobile devices

S Kim, K Bin, S Ha, K Lee, S Chong - GetMobile: Mobile Computing and …, 2022 - dl.acm.org
With the advent of mobile processors integrating CPU and GPU, high-performance tasks,
such as deep learning, gaming, and image processing are running on mobile devices. To …

Thin diffusion bonded flat loop heat pipes for electronics: Fabrication, modelling and testing

KG Domiciano, L Krambeck, JPM Flórez… - Energy Conversion and …, 2022 - Elsevier
Diffusion bonding process was used to manufacture three different thin flat loop heat pipes
(LHP), two with 1.52 mm and one with 0.92 mm of thickness. The proposed LHPs were …

Dynamic energy and thermal management of multi-core mobile platforms: A survey

AK Singh, S Dey, K McDonald-Maier… - IEEE Design & …, 2020 - ieeexplore.ieee.org
Editor's notes: Multicore mobile processors have proliferated due to their efficiency in
meeting the stringent performance requirement within a limited power budget. However …

Adaptive resource allocation considering power-consumption outage: A deep reinforcement learning approach

J Luo, Q Chen, L Tang, Z Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A major feature of mobile devices in the future wireless network is the high data rate.
However, the newly proposed power-consumption outage indicates that the heat generated …

Trajectory design and bandwidth allocation considering power-consumption outage for uav communication: A machine learning approach

J Luo, L Tang, Q Chen, Z Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recent research has demonstrated that the heat induced by high data rate transmission
could cause low-temperature burns. As a promising application for future wireless networks …

An efficient GPU-accelerated inference engine for binary neural network on mobile phones

S He, H Meng, Z Zhou, Y Liu, K Huang… - Journal of Systems …, 2021 - Elsevier
Over the last years, deep neural networks (DNNs) are becoming more powerful and have
risen in popularity, especially in mobile computing. Applications running on edge AI devices …

Smart thermal management for heterogeneous multicores

J Henkel, H Khdr, M Rapp - 2019 Design, Automation & Test in …, 2019 - ieeexplore.ieee.org
Heterogeneous multicores have attracted a major focus in recent years, as they provide
many possibilities for performance improvements. However, due to the discontinuation of …

Analysis and control of power–temperature dynamics in heterogeneous multiprocessors

G Bhat, S Gumussoy, UY Ogras - IEEE Transactions on Control …, 2020 - ieeexplore.ieee.org
Virtually, all electronic systems try to optimize a fundamental tradeoff between higher
performance and lower power consumption. The latter becomes critical in mobile computing …

In-vehicle edge system for real-time dashcam video analysis

S Lee, J King, YC Lee, H Han, S Kang - Internet of Things, 2025 - Elsevier
Modern vehicles equip dashcams that primarily collect visual evidence for traffic accidents.
However, most of the video data collected by dashcams that is not related to traffic accidents …

Design and optimization of heterogeneous manycore systems enabled by emerging interconnect technologies: Promises and challenges

BK Joardar, RG Kim, JR Doppa… - … Design, Automation & …, 2019 - ieeexplore.ieee.org
Due to the growing needs of Big Data applications (eg, deep learning, graph analytics, and
scientific computing) and the ending of Moore's law, there is a great need for low-cost, high …