Energy-Aware Memory Management for Embedded Multimedia Systems -
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Présentation Energy - Aware Memory Management For Embedded Multimedia Systems de Format Broché
- Livre Littérature Générale
Résumé :
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....
Biographie: 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.
Sommaire: 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.
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