Dynamic Energy and Thermal Management of Multi-core Mobile Platforms: A Survey

Abstract

Multi-core mobile platforms are on rise as they enable efficient parallel processing to meet ever-increasing performance requirements. However, since these platforms need to cater for increasingly dynamic workloads, efficient dynamic resource management is desired mainly to enhance the energy and thermal efficiency for better user experience with increased operational time and lifetime of mobile devices. This article provides a survey of dynamic energy and thermal management approaches for multi-core mobile platforms. These approaches do either proactive or reactive management. The upcoming trends and open challenges are also discussed.

FruitVegCNN: Power- and Memory-Efficient Classification of Fruits & Vegetables Using CNN in Mobile MPSoC

“…This MPSoC also provides dynamic voltage frequency scaling feature per cluster, where the big core cluster has 5 frequency scaling levels ranging from 1402 MHz to 2362 MHz (at the following frequencies: 1402 MHz, 1805 MHz, 2016 MHz, 2112 MHz, 2362 MHz), and the LITTLE core cluster has 4 frequency scaling levels ranging from 480 MHz to 1709 MHz (at the following frequencies: 480 MHz, 807 MHz, 1306 MHz, 1709 MHz). If we consider P as the dynamic power consumption, V as the operating voltage, f as the operating frequency of the processing core, dynamic voltage and frequency scaling (DVFS) [11], [10] is used to reduce the dynamic power consumption (P ∝ V 2 f ) by executing the workload over extra time at a lower voltage and frequency, which could be accounted for reduced power consumption of the device. Kirin 659 MPSoC also comes equipped with 2 Mali-T830 MP2 GPUs and 4GB RAM.…”

“…On the other hand, battery operated mobile devices are becoming more affordable due to the improvement in chip manufacturing technology and also come equipped with multiple processing elements to cater for performance requirement of the executing applications [10], [11]. Such a mobile platform, utilizing multi-processor system-on-a-chip (MPSoC) [10], [11], [12], [13], [14], [15], [16], [17], implements different types of processing elements such as CPU and GPU, capable of computing demanding computer vision applications on the device. Given the importance of adopting CNN based approaches in agricultural industry and the increase in popularity of using mobile devices, it is very important to study, design and implement CNN models for fruits and vegetables'…”

Temporal Motionless Analysis of Video using CNN in MPSoC

“…Moreover, to analyze video in real-time without motion features over a WIFI network is difficult due to communication bandwidth constraint and hence, it is better to analyze the image fames on the camera enabled embedded device itself [7] instead of relying on a server system over the WIFI network. Another motivation to devise such approaches in embedded devices [8] is the affordability of such devices, e.g. in developing countries, instead of employing powerful server systems used for analysis purposes [7].…”

ThermalAttackNet: Are CNNs Making It Easy To Perform Temperature Side-Channel Attack In Mobile Edge Devices?

“…R ECENTLY, mobile devices have become an integral part of daily life. These mobile devices are utlised to run different types of applications, including video calling, web browsing, gaming, navigation, and hence, energy-efficient processing on these battery-empowered mobile devices is of utmost importance [1], [2]. Mobile cloud computing, where most of the computations happen in the cloud (also known as Cloud Offloading) [3], is considered to be a potential solution for energy-efficient processing.…”

“…Most of these mobile devices come equipped with heterogeneous multi-processors systemson-chip (MPSoC), which consists of multiple heterogeneous processors on a single chip, capable of processing different types of applications to cater for performance and energyefficiency of the executing applications. Due to an increase in the usage of MPSoCs [2], [8]- [13] in mobile edge devices and a rise in studies on thermal side channel attacks [6], [14], [15], it is crucial that side channel attacks in such platform should be addressed with utmost importance [15].…”