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Titlebook: Smart Multicore Embedded Systems; Massimo Torquati,Koen Bertels,Fran?ois Pacull Book 2014 Springer Science+Business Media New York 2014 Em

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發(fā)表于 2025-3-21 19:27:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Smart Multicore Embedded Systems
編輯Massimo Torquati,Koen Bertels,Fran?ois Pacull
視頻videohttp://file.papertrans.cn/869/868904/868904.mp4
概述Describes tools and programming models for multicore embedded systems.Emphasizes throughout performance per watt scalability.Discusses realistic limits of software parallelization.Enables software mig
圖書封面Titlebook: Smart Multicore Embedded Systems;  Massimo Torquati,Koen Bertels,Fran?ois Pacull Book 2014 Springer Science+Business Media New York 2014 Em
描述This book provides a single-source reference to the state-of-the-art of high-level programming models and compilation tool-chains for embedded system platforms. The authors address challenges faced by programmers developing software to implement parallel applications in embedded systems, where very often they are forced to rewrite sequential programs into parallel software, taking into account all the low level features and peculiarities of the underlying platforms. Readers will benefit from these authors’ approach, which takes into account both the application requirements and the platform specificities of various embedded systems from different industries. Parallel programming tool-chains are described that take as input parameters both the application and the platform model, then determine relevant transformations and mapping decisions on the concrete platform, minimizing user intervention and hiding the difficulties related to the correct and efficient use of memory hierarchy and low level code generation.
出版日期Book 2014
關(guān)鍵詞Embedded Systems Software; Many-core; Many-core Programming; Multi-core; Multi-core Programming; Parallel
版次1
doihttps://doi.org/10.1007/978-1-4614-8800-2
isbn_softcover978-1-4939-4802-4
isbn_ebook978-1-4614-8800-2
copyrightSpringer Science+Business Media New York 2014
The information of publication is updating

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stic limits of software parallelization.Enables software migThis book provides a single-source reference to the state-of-the-art of high-level programming models and compilation tool-chains for embedded system platforms. The authors address challenges faced by programmers developing software to impl
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Parallel Programming Modelsrvey on the different parallel programming models available today. These models are suitable for general-purpose computing but are also suitable for programming specialized (e.g. embedded) systems that offer the required facilities. We start by categorizing the available models according to the memo
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Fault Tolerancelti-core and many-core systems constituted by a relevant number of relatively low-cost execution resources (e.g., processors and configurable accelerator units) to achieve high performance while leveraging on energy consumption. These trends must cope with increasingly unreliable devices, affected b
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