Reduction, data flow and control flow models of computation

3Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper introduces a systematic approach to the modeling of computational processes in terms of • the control discipline which drives a computation step by step ahead; • the operational discipline which, in an orderly manner, supplies operators with operands. Starting with a simple PrT net primitive representing the application of a function to one or more arguments, we systematically derive reduction, data flow and control flow as basic models of computations and elaborate on their conceptual differences. Particular emphasis is placed on the implications as regards non-sequential processing.

Cite

CITATION STYLE

APA

Kluge, W. (1987). Reduction, data flow and control flow models of computation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 255 LNCS, pp. 466–498). Springer Verlag. https://doi.org/10.1007/3-540-17906-2_35

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free