An Efficient Cycle Accurate Performance Estimation Model for Hardware Software Co-Design
Software performance in terms of clock cycles can be measured on the hardware platform. However, the availability of hardware platform is critical in early stages of the design flow. One possible solution is to implement the hardware components at cycle-a
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Mohammad Ayoub Khan Saqib Saeed Ashraf Darwish Ajith Abraham Editors
Embedded and Real Time System Development: A Software Engineering Perspective Concepts, Methods and Principles
Studies in Computational Intelligence Volume 520
Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
For further volumes: http://www.springer.com/series/7092
About this Series The series ‘‘Studies in Computational Intelligence’’ (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.
Mohammad Ayoub Khan Saqib Saeed Ashraf Darwish Ajith Abraham •
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Editors
Embedded and Real Time System Development: A Software Engineering Perspective Concepts, Methods and Principles
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Editors Mohammad Ayoub Khan Department of Computer Science and Engineering School of Engineering and Technology Sharda University Greater Noida India Saqib Saeed Department of Computer Sciences Bahria University Islamabad Pakistan
ISSN 1860-949X ISBN 978-3-642-40887-8 DOI 10.1007/978-3-642-40888-5
Ashraf Darwish Faculty of Science Helwan University Cairo Egypt Ajith Abraham Machine Intelligence Research Labs Scientific Network for Innovation and Research Excellence Auburn USA
ISSN 1860-9503 (electronic) ISBN 978-3-642-40888-5 (eBook)
Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2013953267 Springer-Verlag Berlin Heidelberg 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the
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