Data flow networks are a paradigm for concurrent computations in which a collection of parallel processes communicate asynchronously. For data flow many compositional semantics models have been defined, however, it is extremely complex to reason about their semantic behaviour. To perform the semantic analysis of data flow networks, we define a transformation from data flow to specifications in the process algebras formalism which preserves the traces of the networks. The main contribution of the paper lies in the possibility of applying the theory and tools developed for the process algebras formalism in the analysis of data flow networks. Keywords Parallel Programs: formal program development methodologies, specification and verification; Parallel Programming Languages: Semantics

A semantic model of data flow networks based on process algebras

1993

Abstract

Data flow networks are a paradigm for concurrent computations in which a collection of parallel processes communicate asynchronously. For data flow many compositional semantics models have been defined, however, it is extremely complex to reason about their semantic behaviour. To perform the semantic analysis of data flow networks, we define a transformation from data flow to specifications in the process algebras formalism which preserves the traces of the networks. The main contribution of the paper lies in the possibility of applying the theory and tools developed for the process algebras formalism in the analysis of data flow networks. Keywords Parallel Programs: formal program development methodologies, specification and verification; Parallel Programming Languages: Semantics
1993
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Process algebras
Data flow
File in questo prodotto:
File Dimensione Formato  
prod_413662-doc_145651.pdf

accesso aperto

Descrizione: A semantic model of data flow networks based on process algebras
Dimensione 2.23 MB
Formato Adobe PDF
2.23 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/369486
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact