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Synopsis
Embedded systems are becoming more and more important.Previously, because embedded systems were highly limited in computational capability, memory size, and power consumption, system performance issues, such as execution time, were traded off with system resources, and resources were carefully scheduled and utilized. With more available computational capability in embedded system devices, such as multi-core devices, and more complicated requirements demanding more intensive computation, the most critical design concerns are changing in some important application domains. Execution time is especially critical to real time systems, in the sense that it is related not only to system performance, but also to system correctness and reliability. This thesis explores modeling and optimization techniques for hardware-software co-design of parallel embedded systems. We propose a dataflow based framework, which covers modeling, analysis and optimization and bridges between user-friendly design and efficient implementation. The framework is applied to different kinds of applications.
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About the Author
Ruirui Gu receives her Ph.D. degree from the University of Marylandat College Park. Her research interests include hardware/software co-design, parallel computing systems and reconfigurable computing.
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Hardware Software Co-Design For Parallel Embedded Systems
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LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10: 3846527130
ISBN 13: 9783846527139
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Embedded systems are becoming more and more important.Previously, because embedded systems were highly limited in computational capability, memory size, and power consumption, system performance issues, such as execution time, were traded off with system resources, and resources were carefully scheduled and utilized. With more available computational capability in embedded system devices, such as multi-core devices, and more complicated requirements demanding more intensive computation, the most critical design concerns are changing in some important application domains. Execution time is especially critical to real time systems, in the sense that it is related not only to system performance, but also to system correctness and reliability. This thesis explores modeling and optimization techniques for hardware-software co-design of parallel embedded systems. We propose a dataflow based framework, which covers modeling, analysis and optimization and bridges between user-friendly design and efficient implementation. The framework is applied to different kinds of applications. 180 pp. Englisch. Seller Inventory # 9783846527139
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Hardware Software Co-Design For Parallel Embedded Systems
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846527130
ISBN 13: 9783846527139
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gu RuiruiRuirui Gu receives her Ph.D. degree from the University of Marylandat College Park. Her research interests include hardware/software co-design, parallel computing systems and reconfigurable computing.Embedded systems ar. Seller Inventory # 5496779
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Hardware Software Co-Design For Parallel Embedded Systems
Published by
LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10: 3846527130
ISBN 13: 9783846527139
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Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Embedded systems are becoming more and more important.Previously, because embedded systems were highly limited in computational capability, memory size, and power consumption, system performance issues, such as execution time, were traded off with system resources, and resources were carefully scheduled and utilized. With more available computational capability in embedded system devices, such as multi-core devices, and more complicated requirements demanding more intensive computation, the most critical design concerns are changing in some important application domains. Execution time is especially critical to real time systems, in the sense that it is related not only to system performance, but also to system correctness and reliability. This thesis explores modeling and optimization techniques for hardware-software co-design of parallel embedded systems. We propose a dataflow based framework, which covers modeling, analysis and optimization and bridges between user-friendly design and efficient implementation. The framework is applied to different kinds of applications.Books on Demand GmbH, Überseering 33, 22297 Hamburg 180 pp. Englisch. Seller Inventory # 9783846527139
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Hardware Software Co-Design For Parallel Embedded Systems : Modeling and Optimization
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846527130
ISBN 13: 9783846527139
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Embedded systems are becoming more and more important.Previously, because embedded systems were highly limited in computational capability, memory size, and power consumption, system performance issues, such as execution time, were traded off with system resources, and resources were carefully scheduled and utilized. With more available computational capability in embedded system devices, such as multi-core devices, and more complicated requirements demanding more intensive computation, the most critical design concerns are changing in some important application domains. Execution time is especially critical to real time systems, in the sense that it is related not only to system performance, but also to system correctness and reliability. This thesis explores modeling and optimization techniques for hardware-software co-design of parallel embedded systems. We propose a dataflow based framework, which covers modeling, analysis and optimization and bridges between user-friendly design and efficient implementation. The framework is applied to different kinds of applications. Seller Inventory # 9783846527139
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Hardware Software Co-Design For Parallel Embedded Systems: Modeling and Optimization
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ISBN 10: 3846527130
ISBN 13: 9783846527139
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