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

International audience Many-core processors offer top computational power while keeping the energy consumption reasonable compared to complex processors. Today, they enter both high-performance computing systems, as well as embedded systems. However, these processors require dedicated programming mo...

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Bibliographic Details
Published in:Procedia Computer Science
Main Authors: Cudennec, Loïc, Goubier, Thierry
Other Authors: Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
Format: Conference Object
Language:English
Published: HAL CCSD 2015
Subjects:
Chemical programming
dataflow programming
many-core processor
[INFO.INFO-DC]Computer Science [cs]/Distributed
Parallel
and Cluster Computing [cs.DC]
Iceland
Online Access:https://hal.inria.fr/hal-01273269
https://hal.inria.fr/hal-01273269/document
https://hal.inria.fr/hal-01273269/file/gamma.pdf
https://doi.org/10.1016/j.procs.2015.05.349
Description
Summary:International audience Many-core processors offer top computational power while keeping the energy consumption reasonable 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 preliminary 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.

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