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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ftceafr:oai:HAL:hal-01273269v1 2024-09-15T18:14:12+00:00 A Short Overview of Executing Γ Chemical Reactions over the ΣC and τC Dataflow Programming Models Cudennec, Loïc Goubier, Thierry 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) Reykjavik, Iceland 2015-06-01 https://inria.hal.science/hal-01273269 https://inria.hal.science/hal-01273269/document https://inria.hal.science/hal-01273269/file/gamma.pdf https://doi.org/10.1016/j.procs.2015.05.349 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.1016/j.procs.2015.05.349 hal-01273269 https://inria.hal.science/hal-01273269 https://inria.hal.science/hal-01273269/document https://inria.hal.science/hal-01273269/file/gamma.pdf doi:10.1016/j.procs.2015.05.349 http://creativecommons.org/licenses/by-nc-sa/ info:eu-repo/semantics/OpenAccess International Conference on Computational Science (ICCS 2015) https://inria.hal.science/hal-01273269 International Conference on Computational Science (ICCS 2015), Jun 2015, Reykjavik, Iceland. pp. 1413-1422, ⟨10.1016/j.procs.2015.05.349⟩ https://sites.google.com/site/alchemyworkshop/alchemy2015 Chemical programming dataflow programming many-core processor [INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] info:eu-repo/semantics/conferenceObject Conference papers 2015 ftceafr https://doi.org/10.1016/j.procs.2015.05.349 2024-07-22T13:30:39Z 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. Conference Object Iceland HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives) Procedia Computer Science 51 1413 1422 |
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Open Polar |
collection |
HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives) |
op_collection_id |
ftceafr |
language |
English |
topic |
Chemical programming dataflow programming many-core processor [INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] |
spellingShingle |
Chemical programming dataflow programming many-core processor [INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] Cudennec, Loïc Goubier, Thierry A Short Overview of Executing Γ Chemical Reactions over the ΣC and τC Dataflow Programming Models |
topic_facet |
Chemical programming dataflow programming many-core processor [INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] |
description |
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. |
author2 |
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 |
author |
Cudennec, Loïc Goubier, Thierry |
author_facet |
Cudennec, Loïc Goubier, Thierry |
author_sort |
Cudennec, Loïc |
title |
A Short Overview of Executing Γ Chemical Reactions over the ΣC and τC Dataflow Programming Models |
title_short |
A Short Overview of Executing Γ Chemical Reactions over the ΣC and τC Dataflow Programming Models |
title_full |
A Short Overview of Executing Γ Chemical Reactions over the ΣC and τC Dataflow Programming Models |
title_fullStr |
A Short Overview of Executing Γ Chemical Reactions over the ΣC and τC Dataflow Programming Models |
title_full_unstemmed |
A Short Overview of Executing Γ Chemical Reactions over the ΣC and τC Dataflow Programming Models |
title_sort |
short overview of executing γ chemical reactions over the σc and τc dataflow programming models |
publisher |
HAL CCSD |
publishDate |
2015 |
url |
https://inria.hal.science/hal-01273269 https://inria.hal.science/hal-01273269/document https://inria.hal.science/hal-01273269/file/gamma.pdf https://doi.org/10.1016/j.procs.2015.05.349 |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
International Conference on Computational Science (ICCS 2015) https://inria.hal.science/hal-01273269 International Conference on Computational Science (ICCS 2015), Jun 2015, Reykjavik, Iceland. pp. 1413-1422, ⟨10.1016/j.procs.2015.05.349⟩ https://sites.google.com/site/alchemyworkshop/alchemy2015 |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.procs.2015.05.349 hal-01273269 https://inria.hal.science/hal-01273269 https://inria.hal.science/hal-01273269/document https://inria.hal.science/hal-01273269/file/gamma.pdf doi:10.1016/j.procs.2015.05.349 |
op_rights |
http://creativecommons.org/licenses/by-nc-sa/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1016/j.procs.2015.05.349 |
container_title |
Procedia Computer Science |
container_volume |
51 |
container_start_page |
1413 |
op_container_end_page |
1422 |
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1810451976213757952 |