ISA Extension to General Purpose Processors for Fuzzy and Genetic Algorithm Applications

Author

Banaiyan, Abbas ; Jelodar, Mehdi Salmani ; Fakhraie, Sied Mehdi

Author_Institution

Sch. of Electr. & Comput. Eng., Tehran Univ.

fYear

2006

fDate

3-6 June 2006

Firstpage

360

Lastpage

365

Abstract

The number of intelligent systems which use soft-computing methods in real-world applications is growing. General purpose processors (GPPs) are one selection of designers to implement intelligent systems. However, to accelerate the performance of them, an application-specific instruction set extension is added to the basic processor in some designs. In this paper, fuzzy logic and genetic algorithm (GA) applications are selected as two soft-computing techniques in the domain of intelligent systems which their supportive instructions are added to the architecture of LEON2 general purpose processor. The achieved results show great improvements in some intelligent applications´ execution times. This ISA extension has added to the GPP´s core an area with less than 6% overhead for fuzzy instructions and about 14% for GA instructions

Keywords

application specific integrated circuits; fuzzy logic; genetic algorithms; instruction sets; microprocessor chips; ISA extension; application-specific instruction set extension; fuzzy logic; general purpose processors; genetic algorithm; soft-computing; Acceleration; Application software; Computer architecture; Control systems; Fuzzy logic; Fuzzy systems; Genetic algorithms; Hardware; Instruction sets; Intelligent systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 2006. NAFIPS 2006. Annual meeting of the North American

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0363-4

Electronic_ISBN

1-4244-0363-4

Type

conf

DOI

10.1109/NAFIPS.2006.365436

Filename

4216829