Overview

Compilers and Operating Systems for Low Power focuses on both application-level compiler directed energy optimization and low-power operating systems. Chapters have been written exclusively for this volume by several of the leading researchers and application developers active in the field. The first six chapters focus on low energy operating systems, or more in general, energy-aware middleware services. The next five chapters are centered on compilation and code optimization. Finally, the last chapter takes a more general viewpoint on mobile computing. The material demonstrates the state-of-the-art work and proves that to obtain the best energy/performance characteristics, compilers, system software, and architecture must work together. The relationship between energy-aware middleware and wireless microsensors, mobile computing and other wireless applications are covered. This work will be of interest to researchers in the areas of low-power computing, embedded systems, compiler optimizations, and operating systems.

Full Product Details

Author:   Luca Benini ,  Mahmut Kandemir ,  J. Ramanujam
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2003
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.385kg
ISBN:  

9781461348795

ISBN 10:   146134879
Pages:   223
Publication Date:   22 December 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1 Low Power Operating System for Heterogeneous Wireless Communication System.- 1 Introduction.- 2 Event-driven versus General-purpose OS.- 3 Low Power Reactive OS for Heterogeneous Architectures.- 4 Conclusion and Future Work.- References.- 2 A Modified Dual-Priority Scheduling Algorithm for Hard Real-Time Systems to Improve Energy Savings.- 1 Introduction.- 2 Dual-Priority Scheduling.- 3 Power-Low Modified Dual-Priority Scheduling.- 4 Experimental Results.- 5 Summary.- References.- 3 Toward the Placement of Power Management Points in Real-Time Applications.- 1 Introduction.- 2 Model.- 3 Sources of Overhead.- 4 Speed Adjustment Schemes.- 5 Optimal Number of PMPs.- 6 Conclusion.- Appendix: Derivation of Formulas.- References.- 4 Energy Characterization of Embedded Real-Time Operating Systems.- 1 Introduction.- 2 Related Work.- 3 System Overview.- 4 Characterization Strategy.- 5 RTOS Characterization Results.- Summary of Findings.- Conclusions.- References.- 5 Dynamic Cluster Reconfiguration for Power and Performance.- 1 Motivation.- 2 Cluster Configuration and Load Distribution.- Methodology.- Experimental Results.- Related Work.- Conclusions.- References.- 6 Energy Management of Virtual Memory on Diskless Devices.- 1 Introduction.- 2 Related Work.- 3 Problem Formulation.- 4 EELRM Prototype Compiler.- 5 Experiments.- 6 Future Work.- 7 Conclusion.- References.- 7 Propagating Constants Past Software to Hardware Peripherals on Fixed-Application Embedded Systems.- 1 Introduction.- 2 Example.- 3 Parameters in Cores.- 4 Propagating Constants from Software to Hardware.- 5 Experiments.- 6 Future Work.- 7 Conclusions.- References.- 8 Constructive Timing Violation for Improving Energy Efficiency.- 1 Introduction.- 2 Low Power via Fault-Tolerance.- 3 Evaluation Methodology.- 4 Simulation Results.- 5 Related Work.- 6 Conclusion and Future Work.- References.- 9 Power Modeling and Reduction of VLIW Processors.- 1 Introduction.- 2 Cycle-Accurate VLIW Power Simulation.- 3 Clock Ramping.- 4 Experimental Results.- 5Conclusions and Discussion.- References.- 10 Low-Power Design of Turbo Decoder with Exploration of Energy-Throughout Trade-off.- 1 Introduction.- 2 Data Transfer and Storage Exploration Methodology.- 3 Global Data Flow and Loop Transformations.- 4 Storage Cycle Budget Distribution.- 5 Memory Organization.- 6 Conclusions.- References.- 11 Static Analysis of Parameterized Loop Nests for Energy Efficient Use of Data Caches.- 1 Introduction.- 2 Energy and Line Size.- 3 Background.- 4 The Parameterized Loop Analysis.- 5 STAMINA Implementation Results.- 6 Summary and Future Work.- References.- 12 A Fresh Look at Low-Power Mobile Computing.- 1 Introduction.- 2 Architecture.- 3 Handover and the Quantization of Computational Resources.- 4 Segmentation of Functionality: The XU-MS Split.- 5 Status and Research Vision.- References.

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