Parallelism in embedded microprocessor systems based on clustering

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 approa...

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Veröffentlicht in:Mediterranean Conference on Embedded Computing (New Jersey. Online) S. 45 - 50
Hauptverfasser: Ruchkin, Vladimir, Romanchuk, Vitaly, Fulin, Vladimir, Kostrov, Boris, Ruchkina, Ekaterina
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 06.08.2015
Schlagworte:
clustering
Data processing
Embedded computing
embedded computing system
equivalence classes
Expert systems
explicit and implicit parallelism
fuzzy clustering
linguistic variables of ECS structures
Microprocessors
Parallel processing
Pipelines
Pragmatics
ISBN:1479989991, 9781479989997
ISSN:2377-5475
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Zusammenfassung: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.
ISBN:1479989991
9781479989997
ISSN:2377-5475
DOI:10.1109/MECO.2015.7181951