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Late Breaking Results: An Analytical Timing-Driven Placer for Heterogeneous FPGAs*

机译:最新成果:适用于异构FPGA的分析时序驱动布局器*

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As the feature sizes keep shrinking, interconnect delays have become a major limiting factor for FPGA timing closure. Traditional placement algorithms that address wirelength alone are no longer sufficient to close timing, especially for the large-scale heterogeneous FPGAs. In this paper, we resolve the crucial FPGA placement problem by optimizing wirelength and timing simultaneously. First, a smoothed routing-architecture-aware timing model is proposed to accurately estimate each interconnect delay. Then, a timing-driven delay look-up table is constructed to further speed up delay access. Finally, we present an effective wirelength and timing co-optimization strategy to produce high-quality placements without timing violations. Compared with Vivado 2019.1 on Xilinx benchmark suites for xc7k325t device, experimental results show that our algorithm achieves not only a 6.6% improvement in worst slack but also a 3.2% reduction for routed wirelength.
机译:随着功能尺寸的不断缩小,互连延迟已成为FPGA时序收敛的主要限制因素。传统的仅解决线长问题的布局算法已不足以关闭时序,特别是对于大型异构FPGA。在本文中,我们通过同时优化线长和时序来解决关键的FPGA放置问题。首先,提出了一种平滑的路由架构感知时序模型,以准确估计每个互连延迟。然后,构造时序驱动的延迟查找表,以进一步加快延迟访问。最后,我们提出一种有效的线长和时序协同优化策略,以产生高质量的布局而不会违反时序。与针对xc7k325t器件的Xilinx基准套件上的Vivado 2019.1相比,实验结果表明,我们的算法不仅使最差松弛率提高了6.6%,而且布线长度减少了3.2%。

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