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Structured Grid Algorithms Modelled with Complex Objects

机译:具有复杂对象的结构化网格算法

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We present a simple membrane computing model for a typical structured grid algorithm: a parallel and distributed seeded region growing algorithm for gray images. With a proper granularity, the system can be efficiently mapped to a distributed Actor system, possibly a cloud-based Actor system. The image pixels are partitioned in rectangular sub-images, which are modeled as complex cells and evolve via inter-cell parallelism. Pixels inside a cell are modeled as sub-cellular objects and evolve via intra-cell parallelism. The presented model is synchronous, but can be further extended to an asynchronous version. Each cell can be efficiently implemented on a multi-core or many-core architecture and cells can communicate their boundary data via messages.
机译:我们介绍了一种典型结构化网格算法的简单膜计算模型:灰色图像的平行和分布式播种区域生长算法。通过适当的粒度,系统可以有效地映射到分布式actor系统,可能是基于云的演员系统。图像像素在矩形子图像中被划分,其被建模为复细胞并经由细胞间并行性演变。电池内的像素被建模为子蜂窝对象,并经由细胞内并行发展演变。呈现的模型是同步的,但可以进一步扩展到异步版本。可以在多核或多核架构上有效地实现每个单元,并且单元可以通过消息传送其边界数据。

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