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Power-Aware Computer Systems

Overview of attention for book
Cover of 'Power-Aware Computer Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Early-Stage Definition of LPX: A Low Power Issue-Execute Processor
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    Chapter 2 Dynamic Tag-Check Omission: A Low Power Instruction Cache Architecture Exploiting Execution Footprints
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    Chapter 3 A Hardware Architecture for Dynamic Performance and Energy Adaptation
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    Chapter 4 Multi-Processor Computer System Having Low Power Consumption
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    Chapter 5 An Integrated Heuristic Approach to Power-Aware Real-Time Scheduling
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    Chapter 6 Power-Aware Task Motion for Enhancing Dynamic Range of Embedded Systems with Renewable Energy Sources
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    Chapter 7 A Low-Power Content-Adaptive Texture Mapping Architecture for Real-Time 3D Graphics
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    Chapter 8 Energy-Driven Statistical Sampling: Detecting Software Hotspots
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    Chapter 9 Modeling of DRAM Power Control Policies Using Deterministic and Stochastic Petri Nets
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    Chapter 10 SimDVS: An Integrated Simulation Environment for Performance Evaluation of Dynamic Voltage Scaling Algorithms
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    Chapter 11 Application-Supported Device Management for Energy and Performance
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    Chapter 12 Energy-Efficient Server Clusters
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    Chapter 13 Single Region vs. Multiple Regions: A Comparison of Different Compiler-Directed Dynamic Voltage Scheduling Approaches
Attention for Chapter 7: A Low-Power Content-Adaptive Texture Mapping Architecture for Real-Time 3D Graphics
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Citations

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Chapter title
A Low-Power Content-Adaptive Texture Mapping Architecture for Real-Time 3D Graphics
Chapter number 7
Book title
Power-Aware Computer Systems
Published by
Springer, Berlin, Heidelberg, February 2002
DOI 10.1007/3-540-36612-1_7
Book ISBNs
978-3-54-001028-9, 978-3-54-036612-6
Authors

Jeongseon Euh, Jeevan Chittamuru, Wayne Burleson

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%

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