Vectorized Algorithms for Quadtree Construction and Descent

  • Eraldo P. Marinho
  • Alexandro Baldassin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7439)

Abstract

This paper presents vectorized methods of construction and descent of quadtrees that can be easily adapted to message passing parallel computing. A time complexity analysis for the present approach is also discussed. The proposed method of tree construction requires a hash table to index nodes of a linear quadtree in the breadth-first order. The hash is performed in two steps: an internal hash to index child nodes and an external hash to index nodes in the same level (depth). The quadtree descent is performed by considering each level as a vector segment of a linear quadtree, so that nodes of the same level can be processed concurrently.

Keywords

Smooth Particle Hydrodynamic Hash Table Smooth Particle Hydrodynamic Index Node Smooth Particle Hydrodynamic Simulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Eraldo P. Marinho
    • 1
  • Alexandro Baldassin
    • 1
  1. 1.Departamento de Estatística, Matemática, Aplicada e Computação, IGCEUniv Estadual Paulista (UNESP)Rio ClaroBrazil

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