H Huang, M Lin, Q Zhang - … on Internet of Things (iThings) and …, 2017 - ieeexplore.ieee.org
The Q-learning based DVFS selection algorithm has been used to lower energy consumption for system-level power management. However, this algorithm normally suffers …
In this paper, we conduct a systematic analysis to show that existing CPU optimizations targeting scientific/server workloads are not always well suited for mobile apps. In particular …
Today's mobile platforms have grown in sophistication to run a wide variety of frame-based applications. To deliver better QoS and energy efficiency, these applications utilize multi …
S Labasan - Semanticscholar: Seattle, WA, USA, 2016 - cs.uoregon.edu
The future of computing will be driven by constraints on power consumption. Achieving an exaflop will be limited to no more than 20 MW of power, forcing co-design innovations in …
Video has become one of the most dominant applications in the mobile and Internet-of- Things (IoT) platforms. Video applications cover numerous kinds of emerging applications …