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首页> 外文期刊>Journal of Signal Processing Systems >Bioinspired Parallel Algorithms for Maximum Clique Problem on FPGA Architectures
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Bioinspired Parallel Algorithms for Maximum Clique Problem on FPGA Architectures

机译:FPGA架构上最大派系问题的生物启发式并行算法

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摘要

The stickers model is a model of DNA computation that is computationally complete and universal. Many NP complete problems can be described by stickers programs that have polynomial runtime and are exponential in space. The stickers model can be viewed as a bit-vertically operating register machine. This makes it attractive for in silico implementation. This paper describes a stickers model for the maximum clique problem and its implementation by an FPGA architecture. The results show that the FPGA based algorithm is comparable with existing software algorithms for moderate problem sizes. More generally, the stickers model seems to be a well-suited programming model for dedicated hardware. Keywords DNA computing - Stickers model - Maximum clique problem - FPGA
机译:贴纸模型是DNA计算的模型,该模型在计算上是完整且通用的。许多NP完全问题可以通过具有多项式运行时且空间呈指数形式的粘贴程序来描述。贴纸模型可以看作是位垂直操作的套准机。这使其对于计算机实现具有吸引力。本文描述了最大派系问题的粘贴模型及其通过FPGA架构的实现。结果表明,基于FPGA的算法在中等规模的问题上可与现有软件算法媲美。更一般而言,贴纸模型似乎是专用硬件的合适编程模型。关键词DNA计算-贴纸模型-最大集团问题-FPGA

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