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A Hierarchical Architecture with Parallel Comunication for Implementing P Systems

机译:用于实现P系统的具有并行通信的分层体系结构

摘要

Membrane systems are computational equivalent to Turing machines. However, its distributed and massively parallel nature obtain polynomial solutions opposite to traditional non-polynomial ones. Nowadays, developed investigation for implementing membrane systems has not yet reached the massively parallel character of this computational model. Better published approaches have achieved a distributed architecture denominated “partially parallel evolution with partially parallel communication” where several membranes are allocated at each processor, proxys are used to communicate with membranes allocated at different processors and a policy of access control to the communications is mandatory. With these approaches, it is obtained processors parallelism in the application of evolution rules and in the internal communication among membranes allocated inside each processor. Even though, external communications share a common communication line, needed for the communication among membranes arranged in different processors, are sequential. In this work, we present a new hierarchical architecture that reaches external communication parallelism among processors and substantially increases parallelization in the application of evolution rules and internal communications. Consequently, necessary time for each evolution step is reduced. With all of that, this new distributed hierarchical architecture is near to the massively parallel character required by the model.
机译:膜系统在计算上等同于图灵机。但是,它的分布式和大规模并行性质获得了与传统非多项式相反的多项式解。如今,开发用于实施膜系统的研究尚未达到该计算模型的大规模并行特性。更好的发布方法已经实现了一种分布式架构,称为“具有部分并行通信的部分并行演进”,其中在每个处理器上分配了多个膜,使用代理与分配给不同处理器的膜进行通信,并且对通信的访问控制策略是强制性的。通过这些方法,在进化规则的应用以及每个处理器内部分配的膜之间的内部通信中获得了处理器并行性。即使外部通信共享一条公共通信线路,但在不同处理器中设置的膜之间进行通信所需的通信线路是顺序的。在这项工作中,我们提出了一种新的分层体系结构,该体系结构达到了处理器之间的外部通信并行性,并在演进规则和内部通信的应用中大大提高了并行化。因此,减少了每个进化步骤所需的时间。综上所述,这种新的分布式层次结构接近模型所要求的大规模并行特性。

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