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A Low-Cost Distributed Mapping for Large-Scale Applications of Reconfigurable Computing Systems

机译:用于可重新配置计算系统的大规模应用的低成本分布式映射

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Reconfiguration capability in nowadays embedded systems such as Reconfigurable Computing (RC) systems improves the execution of applications efficiently. However, the reconfiguration overhead in the mapping process of application compilation degrades the performance of these systems. In this paper, a novel distributed application graph mapping has been proposed to reduce the heavy computations of mapping problem analytically. For this purpose, matrix modifications have been used to derive a distance model in resource graph. Using this model, it is possible to remove heavy-weight values from the search space of solutions and achieve a low-cost solution faster, as well. This model classifies the distance matrix of resource graph into independent regions to transform the mapping problem into suboptimal problems. Simulation results show that the proposed approach for application graph mapping outperformed the stateof-art methods in terms of complexity and time overhead, especially for large-scale application graphs.
机译:如今嵌入式系统中的重新配置能力,例如可重新配置计算(RC)系统有效地提高了应用程序的执行。但是,应用程序编译映射过程中的重新配置开销会降低了这些系统的性能。在本文中,已经提出了一种新颖的分布式应用程序图形映射,以减少分析地减少映射问题的重计算。为此目的,已使用矩阵修改来导出资源图中的距离模型。使用此模型,可以从解决方案的搜索空间中删除重量值,并更快地实现低成本解决方案。此模型将资源图的距离矩阵分类为独立区域,以将映射问题转换为次优的问题。仿真结果表明,在复杂性和时间开销方面,所提出的应用程序图形映射方法优先于状态文艺方法,特别是对于大型应用程序图。

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