Hardware/Software co-design using artificial neural network and evolutionaryy computing

Author

Dias, Mauricio Acconcia ; Lacerda, Wilian Soares

Author_Institution

Comput. Sci. Dept., Fed. Univ. of Lavras, Lavras

fYear

2009

fDate

1-3 April 2009

Firstpage

153

Lastpage

157

Abstract

Hardware/Software co-design is an important problem nowadays and is involved in many hardware research and development fields. Hardware/software partitioning problem is one of the most important questions on co-design that defines how parts of a hardware/software system should be implemented on which a fast and good solution is essential. This paper proposes a new way on hardware/software partitioning problem solving using an artificial neural network trained with resilient back propagation algorithm and feed-forward architecture.

Keywords

backpropagation; evolutionary computation; feedforward neural nets; hardware-software codesign; logic CAD; logic partitioning; artificial neural network training; evolutionary computing; feed-forward architecture; hardware-software co-design; hardware-software partitioning problem; resilient back propagation algorithm; Artificial neural networks; Computer architecture; Computer networks; Feedforward systems; Neural network hardware; Partitioning algorithms; Problem-solving; Research and development; Software algorithms; Software systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Programmable Logic, 2009. SPL. 5th Southern Conference on

Conference_Location

Sao Carlos

Print_ISBN

978-1-4244-3847-1

Type

conf

DOI

10.1109/SPL.2009.4914912

Filename

4914912