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Parallel culling and sorting based on adaptive static balancing
Author(s) -
Sandro Lemos Machado,
Bruno Feijó
Publication year - 2009
Publication title -
computers in entertainment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 30
eISSN - 1544-3574
pISSN - 1544-3981
DOI - 10.1145/1658866.1658878
Subject(s) - computer science , octree , parallel computing , thread (computing) , load balancing (electrical power) , sort , workload , sorting , distributed computing , algorithm , mathematics , geometry , information retrieval , grid , operating system
This article presents a new and effective method for parallel octree culling and sorting for multicore systems, using counting sort and based on a new balancing algorithm, called adaptive delayed static balancing. The adaptive nature of the method is governed by a dynamic split level that can adjust the algorithm to new camera positions, keeping a well-balanced workload among the processors. This article also introduces the concept of n-dimensional resource space as a discrete Euclidean space. This work presents a simple and effective thread management system, called MinTMS.

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