dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:27:03Z
dc.date.accessioned2022-10-05T18:36:20Z
dc.date.available2014-05-27T11:27:03Z
dc.date.available2022-10-05T18:36:20Z
dc.date.created2014-05-27T11:27:03Z
dc.date.issued2012-10-01
dc.identifierLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 7439 LNCS, n. PART 1, p. 69-82, 2012.
dc.identifier0302-9743
dc.identifier1611-3349
dc.identifierhttp://hdl.handle.net/11449/73603
dc.identifier10.1007/978-3-642-33078-0_6
dc.identifier2-s2.0-84866681228
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3922595
dc.description.abstractThis 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. © 2012 Springer-Verlag.
dc.languageeng
dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation0,295
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectBreadth-first
dc.subjectChild node
dc.subjectHash table
dc.subjectIndex nodes
dc.subjectLinear quadtree
dc.subjectQuad trees
dc.subjectTime complexity
dc.subjectTree construction
dc.subjectParallel architectures
dc.subjectAlgorithms
dc.titleVectorized algorithms for quadtree construction and descent
dc.typeTrabalho apresentado em evento


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