O(log N)并行时间精确隐线算法

F. Dévai
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引用次数: 6

摘要

给出了精确求解隐线问题的并行算法。文献中针对可见性问题提出的并行算法大多给出近似解。因此不能给出特定问题复杂性的上限。这里提出的第一个算法值得一提,不仅因为它的简单性。而且从实用的角度来看:P倍的速度是通过使用P个处理器实现的。1≤P≤N,其中N为用于描述多边形场景的边数。此外。避免了近似方法固有的混叠问题。第二种算法是在第一种算法的基础上提出的,其意义主要体现在理论层面:建立隐线问题的并行复杂度。该问题的顺序复杂度最近被证明为Θ(N2),现在我们可以证明在并行情况下,该问题属于复杂度类NC,即在任何合理的并行计算模型下,可以使用N个多项式的多个处理器在log N的时间多项式内求解。更具体地说,给出了一个O (log N)并行时间的解决方案,即使有任意多个并发读、独占写并行RAM模型的处理器,也不能进一步改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An O(log N) Parallel Time Exact Hidden-Line Algorithm
Parallel algorithms are given for the exact solution of the hidden-line problem. Most of the parallel algorithms proposed for visibility problems in the literature give approximate solutions. and thus cannot yield an upper bound on the complexity of the particular problem. The first algorithm proposed here is worth mentioning not only for its simplicity. but also from a practical point of view: a speed up of a factor P is achieved by using P processors. 1≤P≤N, where N is the number of edges used to describe a polygonal scene. Additionally. the problem of aliasing inherent with approximation methods is avoided. The significance of the second algorithm, which is based on the first one, is mainly on the theoretical level: it is used to establish the parallel complexity of the hidden-line problem. The sequential complexity of this problem has recently been proved to be Θ(N2), and now we can prove that in the parallel case the problem is in the complexity class NC, i.e., it can be solved in time polynomial in log N by using a number of processors polynomial in N, assuming any reasonable model of parallel computation. More particularly, an O (log N) parallel time solution is given which cannot be further improved even if arbitrarily many processors of a concurrent read, exclusive write parallel RAM model are available.
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