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2015 | OriginalPaper | Chapter

30. Manycore Polymorphic Computation Model for Complex Embedded System Tasks

Authors : Mei Luo, Linlin Li, Chengjian Li, Yongmei Luo

Published in: Proceedings of the 15th International Conference on Man–Machine–Environment System Engineering

Publisher: Springer Berlin Heidelberg

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Abstract

Tasks of complex embedded system have requirements on high performance computing and need to be changed with external environment. Considering the characteristics of complex embedded system tasks, we combine the advantages of polymorphic computing with manycore computing and introduce manycore polymorphic computation model. Meanwhile, we design three computing modes which is called as computing state, and three typical tasks are designed to verify the performance of our model. The result shows that no matter how data scale change, the model can work effectively in appropriate computing mode to meet the requirements of various tasks. The experiment also illustrates that each of the proposed computing modes can shorten execution time of different type of tasks.

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Literature
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Wu Y, Zhou X, Wu X et al (2013) An embedded real-time polymorphic computing platform architecture. In: 2013 international conference on mechatronic sciences, electric engineering and computer, pp 2326–2330
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Metadata
Title
Manycore Polymorphic Computation Model for Complex Embedded System Tasks
Authors
Mei Luo
Linlin Li
Chengjian Li
Yongmei Luo
Copyright Year
2015
Publisher
Springer Berlin Heidelberg
Book
Proceedings of the 15th International Conference on Man–Machine–Environment System Engineering

Print ISBN: 978-3-662-48223-0

Electronic ISBN: 978-3-662-48224-7

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-662-48224-7_30