Energy-Aware Memory Management for Embedded Multimedia Systems : A Computer-Aided Design Approach

Florin Balasa

ISBN 10: 1138112909 / ISBN 13: 9781138112902

Published by Chapman And Hall/CRC, 2017

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Providing an algebraic framework for memory management tasks, this book illustrates how to optimize energy consumption in memory subsystems using CAD solutions. It covers data-dependence analysis techniques, memory size estimation methods, extensions of mapping approaches, and memory banking approaches. The book shows how these techniques are used to evaluate the data storage of an application, reduce dynamic and static energy consumption, design energy-efficient address generation units, and much more. The algorithmic style of the text should help readers create prototype software tools for system-level exploration.

Seller Inventory # 9781138112902

Bibliographic Details

• Title: Energy-Aware Memory Management for Embedded Multimedia Systems : A Computer-Aided Design Approach
• Publisher: Chapman And Hall/CRC
• Publication Date: 2017
• Language: English
• ISBN 10: 1138112909
• ISBN 13: 9781138112902
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 19D millimeters 234 millimeters width by 156 millimeters height by 19 millimeters depth
• Weight: 547 grams

About this title

Synopsis

Energy-Aware Memory Management for Embedded Multimedia Systems: A Computer-Aided Design Approach presents recent computer-aided design (CAD) ideas that address memory management tasks, particularly the optimization of energy consumption in the memory subsystem. It explains how to efficiently implement CAD solutions, including theoretical methods and novel algorithms.

The book covers various energy-aware design techniques, including data-dependence analysis techniques, memory size estimation methods, extensions of mapping approaches, and memory banking approaches. It shows how these techniques are used to evaluate the data storage of an application, reduce dynamic and static energy consumption, design energy-efficient address generation units, and much more.

Providing an algebraic framework for memory management tasks, this book illustrates how to optimize energy consumption in memory subsystems using CAD solutions. The algorithmic style of the text should help electronic design automation (EDA) researchers and tool developers create prototype software tools for system-level exploration, with the goal to ultimately obtain an optimized architectural solution of the memory subsystem.

About the Author

Florin Balasa is an associate professor in the Department of Computer Science and Engineering at the American University in Cairo. A senior member of IEEE, Dr. Balasa holds two patents and is an associate editor of the International Journal of Computers and Electrical Engineering. He has also been a recipient of a National Science Foundation CAREER Award. His research focuses on algorithms and software systems for VLSI design automation.

Dhiraj K. Pradhan is a chair and professor in the Department of Computer Science at the University of Bristol. A fellow of ACM, IEEE, and the Japan Society of Promotion of Science, Dr. Pradhan holds two patents and has been a recipient of the Humboldt Prize and Fulbright-Flad Chair in Computer Science. For more than thirty years, his research has focused on VLSI computer-aided design and testing as well as fault-tolerant computing, computer architecture, and parallel processing.