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Parallel application placement onto 3-D reconfigurable architectures

机译:将应用程序并行放置到3-D可重配置架构中

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Placement is considered one of the most arduous and time-consuming processes in physical implementation flows for reconfigurable architectures, while it highly affects the quality of derived application implementation as it is tightly firmed to the total wirelength and hence the maximum operating frequency. This problem becomes more acute for three-dimensional (3-D) architectures since the complexity of such architectures imposes additional challenges that have to be sufficiently addressed. Throughout this paper we introduce a novel placement algorithm, targeting 3-D reconfigurable architectures, based on Ant Colony Optimization (ACO). Experimental results validate the effectiveness of our algorithm since it achieves 10% reduction in the critical path delay on average. Additionally, in contrast to relevant approaches which are executed sequentially, the proposed algorithm exhibits inherent parallelism and can take full advantage of today's multi-core architectures.
机译:对于可重配置的架构,布局被认为是物理实现流程中最艰巨且最耗时的过程之一,而布局由于紧密地固定在总线长上并因此在最大工作频率上受到了严格的影响,因此会极大地影响派生应用程序实现的质量。对于三维(3-D)架构,此问题变得更加严重,因为此类架构的复杂性带来了必须充分解决的其他挑战。在整个本文中,我们介绍一种基于蚁群优化(ACO)的针对3-D可重构体系结构的新颖放置算法。实验结果证明了我们算法的有效性,因为它平均将关键路径延迟降低了10%。此外,与顺序执行的相关方法相比,所提出的算法具有固有的并行性,并且可以充分利用当今的多核体系结构。

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