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Embedded Multiprocessors: Scheduling and Synchronization (Signal Processing (Marcel Dekker, Inc.), 3.)
Embedded Multiprocessors: Scheduling and Synchronization (Signal Processing (Marcel Dekker, Inc.), 3.)
Date: 06 May 2011, 19:58

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Embedded Multiprocessors Scheduling and Synchronization Series Volume: 3 This item is part of the Signal Processing and Communications series. Application-specific, embedded multiprocessors are increasingly found today in high- performance communications and multimedia systems such as cellular phones and base stations, high-speed modems, set-top boxes, and switches in high-speed networks. Systematic design and analysis of such embedded multiprocessors is becoming a very important research area in industry and academia. This book focuses on the incorporation of interprocessor communication costs into multiprocessor scheduling decisions, modeling and analysis of multiprocessor system performance, and the application of the synchronization graph model to the development of hardware and software that can significantly reduce interprocessor communication overhead. Embedded Multiprocessors is a one-of-a-kind single-source reference indispensable for electrical and electronics, computer, communications, signal processing, and microprocessing engineers, and upper-level undergraduate and graduate students in these disciplines.
Review
From the Foreword
...The intellectual content in this book is high. While some of the methods it describes are relatively simple, most are quite sophisticated. Yet examples are given that concretely demonstrate how these concepts can be applied in practical hardware architectures. Moreover, there is very little overlap with other books on parallel processing. The focus on application-specific processors and their use in embedded systems leads to a rather different set of techniques. I believe that this book defines a new discipline. It gives a systematic approach to problems that engineers have been able to face only in an ad hoc way before.
--Edward A. Lee Department of Electrical Engineering and Computer Sciences, University of California at Berkeley
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