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Parameterized Parallel Complexity

机译:参数化并行复杂度

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We consider the framework of Parameterized Complexity, and we investigate the issue of which problems do admit efficient fixed parameter parallel algorithms by introducing two different degrees of efficiently parallelizable parameterized problems, PNC and FPP. We sketch both some FPP-algorithms solving natural parameterized problems and a useful tool for proving membership to FPP based on the concept of treewidth. We then focus our attention on parameterized parallel intractability and prove that a necessary condition for a parameterized problem to be complete for the class of sequentially fixed parameter tractable problems is that it is not in NC for some fixed value of the parameter (unless P = NC). Finally, we give two alternative characterizations of both PNC and FPP, and we use them to prove the PNC-completeness of two natural parameterized problems.
机译:我们考虑了参数化复杂性的框架,并通过引入两种不同程度的有效可并行化参数化问题PNC和FPP,研究了哪些问题确实允许有效固定参数并行算法的问题。我们既画了一些解决自然参数化问题的FPP算法,又提供了一个基于树宽概念证明FPP成员资格的有用工具。然后,我们将注意力集中在参数化的并行可处理性上,并证明对于一类顺序固定的参数可处理的问题,参数化的问题得以完成的必要条件是,对于某个固定值的参数,它不在NC中(除非P = NC )。最后,我们给出了PNC和FPP的两个替代特征,并用它们来证明两个自然参数化问题的PNC完整性。

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