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Open AccessJournal ArticleDOI

Energy-efficient algorithms

Susanne Albers
- 01 May 2010 - 
- Vol. 53, Iss: 5, pp 86-96
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TLDR
Algorithmic solutions can help reduce energy consumption in computing environs by automating the very labor-intensive and therefore time-heavy and expensive process of designing and implementing algorithms.
Abstract
Algorithmic solutions can help reduce energy consumption in computing environs.

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References
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Amortized efficiency of list update and paging rules

TL;DR: This article shows that move-to-front is within a constant factor of optimum among a wide class of list maintenance rules, and analyzes the amortized complexity of LRU, showing that its efficiency differs from that of the off-line paging rule by a factor that depends on the size of fast memory.
Proceedings ArticleDOI

A scheduling model for reduced CPU energy

TL;DR: This paper proposes a simple model of job scheduling aimed at capturing some key aspects of energy minimization, and gives an off-line algorithm that computes, for any set of jobs, a minimum-energy schedule.
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A survey of design techniques for system-level dynamic power management : Special section on low-power electronics and design

TL;DR: Dynamic power management (DPM) is a design methodology for dynamically reconfiguring systems to provide the requested services and performance levels with a minimum number of active components or a minimum load on such components as mentioned in this paper.
Journal ArticleDOI

A survey of design techniques for system-level dynamic power management

TL;DR: This paper describes how systems employ power-manageable components and how the use of dynamic reconfiguration can impact the overall power consumption, and survey recent initiatives in standardizing the hardware/software interface to enable software-controlled power management of hardware components.
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