Manycore Parallel Simulations of Fishing Nets

This article presents the implementation and evaluation of fishing net simulations applying parallel computing on a manycore computing infrastructure. Computational simulations of fishing nets allow researchers to design optimized structures, evaluate materials and different net configurations. Results are important to advance in sustainable fishing practices, reducing the ecological impacts, and ensuring the long-term viability of fisheries resource. A parallel implementation applying the TBB library is developed, following an object-oriented approach to execute in Xeon Phi multicore architectures. The computational efficiency of the developed implementation is studied for different net sizes, considering several metrics for performance evaluation. Results demonstrate a correct scalability of the developed implementation and a proper use of the parallel computing resources. A maximum speedup of 161.81 was achieved when using four threads for each core for simulating a large fishing net.

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Publication Details

Journal
Programming and Computer Software
Published
2024-12-01
DOI
https://doi.org/10.1134/s0361768824700634
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Manycore Parallel Simulations of Fishing Nets

Sergio Nesmachnow, Santiago Iturriaga, Andrei Tchernykh, Pablo Da Costa Porto et al.
Programming and Computer Software
Simulation Techniques and Applications
article

Manycore Parallel Simulations of Fishing Nets

Sergio Nesmachnow, Santiago Iturriaga, Andrei Tchernykh, Pablo Da Costa Porto, Matías Carro
article en

Abstract

This article presents the implementation and evaluation of fishing net simulations applying parallel computing on a manycore computing infrastructure. Computational simulations of fishing nets allow researchers to design optimized structures, evaluate materials and different net configurations. Results are important to advance in sustainable fishing practices, reducing the ecological impacts, and ensuring the long-term viability of fisheries resource. A parallel implementation applying the TBB library is developed, following an object-oriented approach to execute in Xeon Phi multicore architectures. The computational efficiency of the developed implementation is studied for different net sizes, considering several metrics for performance evaluation. Results demonstrate a correct scalability of the developed implementation and a proper use of the parallel computing resources. A maximum speedup of 161.81 was achieved when using four threads for each core for simulating a large fishing net.

Programming and Computer SoftwareVol. 50(8)
Universidad de la República de Uruguay (UY), Institute for System Programming (RU), Centro de Investigación Científica y de Educación Superior de Ensenada (MX), Universidad de Montevideo (UY)
Life below water
Openalex Percentile: Top 69%
Simulation Techniques and Applications
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Manycore Parallel Simulations of Fishing Nets — Sergio Nesmachnow, Santiago Iturriaga, et al. · Programming and Computer Software (2024) | TGRS Research Map | TGRS