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Graph Coverage: An FPGA-targeted implementation

机译:图表覆盖范围:FPGA目标实现

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摘要

Classification systems specifically designed to deal with fully labeled graphs are gaining importance in many application fields. The main computational bottleneck in such systems is the dissimilarity measure between pairs of graphs. In this paper we propose to accelerate in hardware such computations, relying on the Graph Coverage as the core inexact graph matching procedure, targeting the design to FPGA as an inexpensive way to design specific co-processing devices. A comparison in terms of computational time between the proposed system and a software implementation on a standard workstation shows encouraging results.
机译:专门用于处理完全标记的图形的分类系统在许多应用领域都有重要性。这种系统中的主要计算瓶颈是图表对之间的异化测量。在本文中,我们建议加速硬件这样的计算,依赖于图形覆盖,作为核心不精确的图形匹配程序,将设计瞄准FPGA作为设计特定协作设备的廉价方式。在标准工作站上提出的系统和软件实现之间的计算时间方面的比较显示了令人鼓舞的结果。

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