GENESIS
GENESIS
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DOI：
10.1145/2629651
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发表时间：
2015-01
期刊：
影响因子：
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通讯作者：
D. Diamantopoulos;K. Siozios;S. Xydis;D. Soudris
中科院分区：
文献类型：
--
作者：
D. Diamantopoulos;K. Siozios;S. Xydis;D. Soudris
放置是可重构体系结构的物理实现流中最耗时的过程，同时它会严重影响派生应用程序实现的质量，因为它会影响最大操作频率。在这篇文章中，我们提出了一种新的基于遗传算法的砂矿，针对fpga。与顺序执行的相关方法不同，新的placer展示了固有的并行性，这可以从多核处理器中受益。实验结果证明了该方案的有效性，平均执行时间和应用程序延迟分别减少了67倍和16%。
Placement is though as the most time-consuming processes in physical implementation flows for reconfigurable architectures, while it highly affects the quality of derived application implementation, as it has impact on the maximum operating frequency. Throughout this article, we propose a novel placer, based on genetic algorithm, targeting to FPGAs. Rather than relevant approaches, which are executed sequentially, the new placer exhibits inherent parallelism, which can benefit from multicore processors. Experimental results prove the effectiveness of this solution, as it achieves average reduction of execution runtime and application’s delay by 67× and 16%, respectively.