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Other titles in the Chapman & Hall/CRC Computer and Information Science series:
Chapman & Hall/CRC Computer & Information Science #24: Energy-Aware Memory Management for Embedded Multimedia Systems: A Computer-Aided Design Approachby Florin Balasa
Synopses & Reviews
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.
Book News Annotation:
This collection of ten articles on energy management and efficiency design in embedded multimedia systems showcases current research in topics relating to the use of computer aided design techniques for modeling and simulation of energy systems. Papers cover subjects such as polyhedral techniques for papmetric memory requirement estimation, storage allocation for streaming register files, optimization of dynamic energy consumption in hierarchical memory organizations, and current leakage mechanisms in memories and logic. Entries are technical in nature and include detailed formulas and coding examples. Chapters include individual tables of contents, notes, and references. Contributors are academics in computer science and electrical engineering from universities in Europe, the Middle east and India. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com)
Ideal for researchers and graduate students in computer science, computer engineering, and electrical engineering, this text provides a comprehensive methodology for addressing the memory management tasks within a global framework. It presents the most recent algorithms in the field and offers novel ideas for optimizing energy consumption in the memory subsystem using computer-aided design solutions. The book discusses various implementation aspects such as abstract data types to be used for efficient implementation, complexity issues, and experimental results. Along with end-of-chapter problems, it offers illustrative examples to aid in learning.
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