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Efficient parallel implementations for surface subdivision

机译:曲面细分的高效并行实现

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Achieving an efficient surface subdivision is an important issue today in computer graphics, geometric modeling, and scientific visualization. In this paper we present two parallel versions of the Modified Butterfly algorithm. Both versions are based on a coarse-grain approach, that is, the original mesh is subdivided into small groups and each processor performs the triangles subdivision for a set of groups of the mesh. First approach sorts the groups in decreasing order of number of triangles per group, and then the sorted groups are cyclically distributed on the processors in order to achieve a good load distribution. In the second parallel version the processors can dynamically balance the work load by passing groups from heavier loaded processors to lighter ones, achieving in that way a better load balance. Finally, we evaluate the algorithms on two different systems: a SGI Origin 2000 and a Sun cluster. Good performances in terms of speedup have been obtained using both static and dynamic parallel implementations.
机译:在计算机图形学,几何建模和科学可视化中,实现有效的曲面细分是当今的重要课题。在本文中,我们提出了修改过的Butterfly算法的两个并行版本。两种版本均基于粗粒度方法,也就是说,将原始网格划分为小组,每个处理器对一组网格组执行三角形细分。第一种方法是按每组三角形数量的降序对组进行排序,然后将排序后的组循环分布在处理器上,以实现良好的负载分配。在第二个并行版本中,处理器可以通过将组从较重的处理器传递到较轻的处理器,从而动态地平衡工作负载,从而实现更好的负载平衡。最后,我们在两个不同的系统上评估算法:SGI Origin 2000和Sun集群。使用静态和动态并行实现均获得了良好的加速性能。

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