Prof. Ing. Lukáš Sekanina, Ph.D.

MINAŘÍK Miloš and SEKANINA Lukáš. On Evolutionary Approximation of Sigmoid Function for HW/SW Embedded Systems. In: 20th European Conference on Genetic Programming, EuroGP 2017. Berlin: Springer International Publishing, 2017, pp. 343-358. ISBN 978-3-319-55696-3.
Publication language:english
Original title:On Evolutionary Approximation of Sigmoid Function for HW/SW Embedded Systems
Title (cs):O evoluční aproximaci sigmoidy for HW/SW vestavěné systémy
Pages:343-358
Proceedings:20th European Conference on Genetic Programming, EuroGP 2017
Conference:20th European Conference on Genetic Programming
Series:LNCS 10196
Place:Berlin, DE
Year:2017
ISBN:978-3-319-55696-3
Publisher:Springer International Publishing
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Keywords
Sigmoid, Linear genetic programming, HW/SW co-design
Annotation
Providing machine learning capabilities on low cost electronic devices is a challenging goal especially in the context of the Internet of Things paradigm. In order to deliver high performance machine intelligence on low power devices, suitable hardware accelerators have to be introduced. In this paper, we developed a method enabling to evolve a hardware implementation together with a corresponding software controller for key components of smart embedded systems. The proposed approach is based on a multi-objective design space exploration conducted by means of extended linear genetic programming. The approach was evaluated in the task of approximate sigmoid function design which is an important component of hardware implementations of neural networks. During these experiments, we automatically re-discovered some approximate sigmoid functions known from the literature. The method was implemented as an extension of an existing platform supporting concurrent evolution of hardware and software of embedded systems.
BibTeX:
@INPROCEEDINGS{
   author = {Milo{\v{s}} Mina{\v{r}}{\'{i}}k and Luk{\'{a}}{\v{s}}
	Sekanina},
   title = {On Evolutionary Approximation of Sigmoid Function for HW/SW
	Embedded Systems},
   pages = {343--358},
   booktitle = {20th European Conference on Genetic Programming, EuroGP 2017},
   series = {LNCS 10196},
   year = {2017},
   location = {Berlin, DE},
   publisher = {Springer International Publishing},
   ISBN = {978-3-319-55696-3},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=11298}
}

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