Paralelização Eficiente na Simulação da Elevação do Nível do Mar em Áreas de Reentrâncias Maranhenses

• Francisco Borges Carreiro Filho IFMA
• Helder Pereira Borges IFMA
• Omar Andres Carmona Cortes IFMA

DOI: https://doi.org/10.5753/ercemapi.2022.225980

Abstract

Modeling actual phenomena in computer systems is a complex activity that usually demands processing a massive amount of data. In this context, high-performance computing is an attractive option to reduce the application’s execution time. Thus, we investigate parallel applications through multicore (CPU) and many-core (GPU) computing for simulating the rising tide, a significant problem caused by climatic changes, especially in mangrove areas. We simulated the application using cellular automata in three different cenários: sequential, parallel using MPI, and parallel using C-CUDA. Results have shown that parallel versions presented expressive gains, especially in the GPU architecture, reaching a speedup of 2.88 using MPI and 253,03 using a C-CUDA.

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