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Comparison of Tree Based Strategies for Parallel Simulation of Self-gravity in Agglomerates

  • Nestor RocchettiEmail author
  • Sergio Nesmachnow
  • Gonzalo Tancredi
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 979)

Abstract

This article presents an algorithm conceived to improve the computational efficiency of simulations in ESyS-Particle that involve a large number of particles. ESyS-Particle applies the Discrete Element Method to simulate the interaction of agglomerates of particles. The proposed algorithm is based on the Barnes & Hut method, in which a domain is divided and organized in an octal tree. The algorithm is compared to a variation of the octal tree version that uses a binary tree instead. Experimental evaluation is performed over two scenarios: a collapsing cube scenario and two agglomerates orbiting each other. The experimental evaluation comprises the performance analysis of the two scenarios using the two algorithms, including a comparison of the results obtained and the analysis of the numerical accuracy. Results indicate that the octal tree version performs faster and is more accurate than the binary tree version.

Keywords

Multithreading Self-gravity DEM 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Nestor Rocchetti
    • 1
    Email author
  • Sergio Nesmachnow
    • 1
  • Gonzalo Tancredi
    • 2
  1. 1.Facultad de IngenieríaUniversidad de la RepúblicaMontevideoUruguay
  2. 2.Facultad de CienciasUniversidad de la RepúblicaMontevideoUruguay

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