Dynamic power management techniques in multi-core architectures: A survey study

Attia, Khaled M.; Elhosseini, Mostafa A.; Ali, Hesham

doi:10.1016/j.asej.2015.08.010

Cited by 40 publications

(19 citation statements)

References 17 publications

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“…Multi-core advantages can be summarized as follows: 1) A chip multiprocessor consists of simple-to-design cores, 2) Simple design leads to more power efficiency and, 3) High system performance in parallel applications where many threads need to run simultaneously [15]. All these benefits make the multi-core technology a better choice for Cloud Computing and it is expected that all future computer systems will be based on multi-core processors [7].…”

Section: Resultsmentioning

confidence: 99%

Multi-core Processors in Cloud Computing using Cloudsim

Salem¹,

Haggag²,

Mostafa³

2016

IJCA

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Multi-core processor is viewed as the future production of microprocessor design. It is not only a solution for CPU speeds but also it decreases the power consumption, because many cores in a lower frequency collectively produce less heat dissipation than one core with their total frequency. From this point of view, Cloud computing will be mostly built on top of multi-core technologies. However, to fully take advantage of the computational capability and the other advantages of multi-cores, a lot of new techniques must be proposed and considered. In this research paper, a resourcescheduling algorithm along with a server consolidation algorithm is applied to multi-core processors. It is be shown by experimental results that adding cores to the processors in data centers increases the system performance, decreases the power consumption, along with other benefits.

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Section: Resultsmentioning

confidence: 99%

Multi-core Processors in Cloud Computing using Cloudsim

Salem¹,

Haggag²,

Mostafa³

2016

IJCA

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“…A common metric for the evaluation of energy efficiency is Energy Per Instruction (EPI), in Watt/MIPS or Joule/Instruction. Other metrics such as Energy Delay Product (EDP), which was initially proposed by Horowitz et al (1994), and ED2P are used also in latency performance architectures as they assign a weight to the amount of time needed for an instruction to be processed (Attia et al, 2017). Manzak and Chakrabarti (2000) proposed task scheduling algorithms that minimize energy or minimize power for the case when the tasks have various arrival times, deadline times, execution times and switching activities.…”

Section: Run-time Energy Efficient Managersmentioning

confidence: 99%

On-Chip Dynamic Resource Management

Miele

Kanduri²,

Moazzemi³

et al. 2019

FNT in Electronic Design Automation

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The need for dynamic resource management has shadowed the exponential growth of on-chip transistor capacity, and the challenge is accentuated by the heterogeneity of resources, and the bewildering variety of constraints and requirements of applications, platforms and users. The field has started with a few research papers in the early 1990s but has grown today to over hundred yearly publications, leading to an accumulated body of literature presumable far above 1000 papers. We focus on the dynamic (run-time) management of onchip resources and mostly ignore design-time techniques and off-chip resources of larger electronic systems. Moreover, we do not attempt a complete review of all published work on the topic. Rather, this survey provides a structured review and discussion of the state of the art and is divided along the primary objectives of resource management techniques: performance, power, reliability and quality of service, each

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“…On the other hand, surveys by Vallina-Rodriguez et al [12] and Mittal [13] only talks about energy-aware software solutions and energy efficient techniques on mobile handsets and embedded devices. Attia et al [14] talks about dynamic (online) power management techniques utilized in multi-core platforms. Kong et al [15] discusses different thermal management techniques for microprocessors, however, the work is not focused on mobile microprocessors.…”

Section: Introduction and Scopementioning

confidence: 99%

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

et al. 2020

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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.

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Dynamic power management techniques in multi-core architectures: A survey study

Cited by 40 publications

References 17 publications

Multi-core Processors in Cloud Computing using Cloudsim

Multi-core Processors in Cloud Computing using Cloudsim

On-Chip Dynamic Resource Management

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

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