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Dynamics of Large Structures and Inverse Problems

Mathematical and Mechanical Engineering Set – Volume 5

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Civil Engineering Structures According to the Eurocodes

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Swelling Concrete in Dams and Hydraulic Structures

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Earthquake Occurrence

Short- and Long-term Models and their Validation

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The Chemostat

Mathematical Theory of Microorganims Cultures

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From Prognostics and Health Systems Management to Predictive Maintenance 2

Knowledge, Traceability and Decision

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First Hitting Time Regression Models

Lifetime Data Analysis Based on Underlying Stochastic Processes

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The Innovative Company

An Ill-defined Object

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Reading and Writing Knowledge in Scientific Communities

Digital Humanities and Knowledge Construction

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Going Past Limits To Growth

A Report to the Club of Rome EU-Chapter

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Memory Allocation Problems in Embedded Systems

Optimization Methods

Maria Soto, IUT de Vannes, France Marc Sevaux, University of South Brittany, Lorient, France André Rossi, University of South Brittany, Lorient, France Johann Laurent, University of South Brittany, Lorient, France

ISBN: 9781848214286

Publication Date: December 2012   Hardback   208 pp.

90.00 USD


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Description

Embedded systems are everywhere in contemporary life and are supposed to make our lives more comfortable. In industry, embedded systems are used to manage and control complex systems (e.g. nuclear power plants, telecommunications and flight control) and they are also taking an important place in our daily activities (e.g. smartphones, security alarms and traffic lights). In the design of embedded systems, memory allocation and data assignment are among the main challenges that electronic designers have to face. In fact, they impact heavily on the main cost metrics (power consumption, performance and area) in electronic devices. Thus designers of embedded systems have to pay careful attention in order to minimize memory requirements, thus improving memory throughput and limiting the power consumption by the system’s memory. Electronic designers attempt to minimize memory requirements with the aim of lowering the overall system costs. A state of the art of optimization techniques for memory management and data assignment is presented in this book.

Contents

1. Context.
2. Unconstrained Memory Allocation Problem.
3. Memory Allocation Problem with Constraint on the Number of Memory Banks.
4. General Memory Allocation Problem.
5. Dynamic Memory Allocation Problem.
6. MemExplorer: Cases Studies.
7. General Conclusions and Future Work.

About the Authors

Maria Soto, IUT de Vannes, France
Marc Sevaux, University of South Brittany, Lorient, France
André Rossi, University of South Brittany, Lorient, France
Johann Laurent, University of South Brittany, Lorient, France

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