fpga的快速离散布局算法

Qinghong Wu, K. McElvain
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引用次数: 7

摘要

良好的FPGA布局对于从FPGA硬件获得最佳的结果质量(QoR)至关重要。尽管许多已发布的全局放置技术将对象放置在类似asic的连续环境中,但fpga本质上是离散的,并且连续算法本身并不总是能够实现优越的QoR。因此,采用离散fpga特定的细节放置算法来改善全局放置结果。不幸的是,大多数这些细节放置算法没有全局视图。本文提出了一个离散的“中间”砂矿,它填补了两个放置步骤之间的空白。它的工作原理类似于模拟退火,但利用了各种加速技术。它不会付出模拟退火解决方案的典型运行时间代价。实验表明,该方法的最终QoR明显优于全局细节砂矿方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fast discrete placement algorithm for FPGAs
Good FPGA placement is crucial to obtain the best Quality of Results (QoR) from FPGA hardware. Although many published global placement techniques place objects in a continuous ASIC-like environment, FPGAs are discrete in nature, and a continuous algorithm cannot always achieve superior QoR by itself. Therefore, discrete FPGA-specific detail placement algorithms are used to improve the global placement results. Unfortunately, most of these detail placement algorithms do not have a global view. This paper presents a discrete "middle" placer that fills the gap between the two placement steps. It works like simulated annealing, but leverages various acceleration techniques. It does not pay the runtime penalty typical of simulated annealing solutions. Experiments show that with this placer, final QoR is significantly better than with the global-detail placer approach.
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