Parallelisation of decision-making techniques in aquaculture enterprises

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URI: https://hdl.handle.net/10902/32284
ISSN: 0920-8542
ISSN: 1573-0484
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Autoría
Ibáñez Bolado, MarioAutoridad Unican; Luna García, Manuel; Bosque Orero, José LuisAutoridad Unican; Beivide Palacio, RamónAutoridad Unican
Fecha
2023-07
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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material.
Publicado en
The Journal of Supercomputing, 2023, 79(11), 11827-11843
Editorial
Kluwer Academic Publishers
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Palabras clave
Aquaculture
Parallelism
Artificial intelligence
Decision-making
Distributed systems
Resumen/Abstract
Nowadays, the Artificial Intelligent (AI) techniques are applied in enterprise software to solve Big Data and Business Intelligence (BI) problems. But most AI techniques are computationally excessive, and they become unfeasible for common business use. Therefore, specific high performance computing is needed to reduce the response time and make these software applications viable on an industrial environment. The main objective of this paper is to demonstrate the improvement of an aquaculture BI tool based in AI techniques, using parallel programming. This tool, called AquiAID, was created by the research group of Economic Management for the Sustainable Development of Primary Sector of the Universidad de Cantabria. The parallelisation reduces the computation time up to 60 times, and the energy efficiency by 600 times with respect to the sequential program. With these improvements, the software will improve the fish farming management in aquaculture industry.
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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material.Excepto si se señala otra cosa, la licencia del ítem se describe como This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material.