Parallelism in embedded microprocessor systems based on clustering

Author

Ruchkin, Vladimir ; Romanchuk, Vitaly ; Fulin, Vladimir ; Kostrov, Boris ; Ruchkina, Ekaterina

Author_Institution

Eng. Dept., Ryazan State Univ., Ryazan, Russia

fYear

2015

fDate

14-18 June 2015

Firstpage

45

Lastpage

50

Abstract

The paper suggests a generic model for compilation and definition of explicit parallelism in embedded computing systems (ECS), based on clustering. It also describes a rule-oriented production model of an expert system for analyzing implicit parallelism that employs a criteria-based fuzzy-set approach, the number of such criteria equal to the number of ECS modules, and also on the microprogram´s memory capacity, the system´s performance, etc.

Keywords

embedded systems; expert systems; fuzzy set theory; microprocessor chips; parallel processing; ECS; criteria-based fuzzy-set approach; embedded computing system; embedded microprocessor systems; expert system; explicit parallelism; fuzzy clustering; implicit parallelism; rule-oriented production model; Data processing; Embedded computing; Expert systems; Microprocessors; Parallel processing; Pipelines; Pragmatics; clustering; embedded computing system; equivalence classes; explicit and implicit parallelism; fuzzy clustering; linguistic variables of ECS structures;

fLanguage

English

Publisher

ieee

Conference_Titel

Embedded Computing (MECO), 2015 4th Mediterranean Conference on

Conference_Location

Budva

Print_ISBN

978-1-4799-8999-7

Type

conf

DOI

10.1109/MECO.2015.7181951

Filename

7181951