A Survey of Emerging Architectural Techniques for Improving Cache Energy Consumption

Abstract

Abstract-The search goes on for another ground breaking phenomenon to reduce the ever-increasing disparity between the CPU performance and storage. There are encouraging breakthroughs in enhancing CPU performance through fabrication technologies and changes in chip designs but not as much luck has been struck with regards to the computer storage resulting in material negative system performance. A lot of research effort has been put on finding techniques that can improve the energy efficiency of cache architectures. This work is a survey of energy saving techniques which are grouped on whether they save the dynamic energy, leakage energy or both. Needless to mention, the aim of this work is to compile a quick reference guide of energy saving techniques from 2013 to 2016 for engineers, researchers and students.

Classification Techniques for Arrhythmia Patterns Using Convolutional Neural Networks and Internet of Things (IoT) Devices

“…Wan, emphasizes, although the device is functional, it is not comfortable for people to attach sensors to some parts of the body. In addition, battery life is one of the problems with smart phones, Bluetooth, and WiFi [54]- [57]. As Raja et al [19] mentions, most wearable devices could be affected by having battery and noise limitations.…”