A Short Overview of Executing Γ Chemical Reactions over the ΣC and τC Dataflow Programming Models

Many-core processors offer top computational power while keeping the energy consumption rea- sonable compared to complex processors. Today, they enter both high-performance computing systems, as well as embedded systems. However, these processors require dedicated programming models to efficiently b...

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Veröffentlicht in:Procedia computer science Jg. 51; S. 1413 - 1422
Hauptverfasser: Cudennec, Loïc, Goubier, Thierry
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 2015
Schlagworte:
Chemical programming
dataflow programming
many-core processor
many-core processor
Chemical programming
dataflow programming
ISSN:1877-0509, 1877-0509
Online-Zugang:Volltext
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Zusammenfassung:Many-core processors offer top computational power while keeping the energy consumption rea- sonable compared to complex processors. Today, they enter both high-performance computing systems, as well as embedded systems. However, these processors require dedicated programming models to efficiently benefit from their massively parallel architectures. The chemical programming paradigm has been introduced in the late eighties as an elegant way of formally describing distributed programs. Data are seen as molecules that can freely react thanks to operators to create new data. This paradigm has also been used within the context of grid Computing and now seems to be relevant for many-core processors. Very few implementations of runtimes for chemical programming have been proposed, none of them giving serious elements on how it can be deployed onto a real architecture. In this paper, we propose to implement some parts of the chemical paradigm over the ΣC dataflow programming language, that is dedicated to many-core processors. We show how to represent molecules using agents and communication links, and to iteratively build the dataflow graph following the chemical reactions. A prelim- inary implementation of the chemical reaction mechanisms is provided using the τ C dataflow compilation toolchain, a language close to ΣC, in order to demonstrate the relevance of the proposition.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2015.05.349