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An execution model for the seamless integration of control flow and data flow

Authors: Bertrand Ibrahim; Honitriniela Randriamparany;

An execution model for the seamless integration of control flow and data flow

Abstract

In the visual languages community, data flow and control flow models are often seen as antagonistic. However, data flow formalisms are seldom purely data flow based, and control flow formalisms are seldom purely control flow based. We describe the execution model of a formalism that completely integrates the two kinds of flows. This execution model is based on directed graphs, with both control flow and data flow edges, and with, respectively, control and data tokens flowing through these edges. With an example, we define and explain the semantics of the combination of the two kinds of token flows.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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