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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Luo, M., Li, L., Li, C., Luo, Y. (2015). Manycore Polymorphic Computation Model for Complex Embedded System Tasks. In: Long, S., Dhillon, B.S. (eds) Proceedings of the 15th International Conference on Man–Machine–Environment System Engineering. MMESE 2015. Lecture Notes in Electrical Engineering, vol 356. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48224-7_30
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DOI: https://doi.org/10.1007/978-3-662-48224-7_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-48223-0
Online ISBN: 978-3-662-48224-7
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