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Force-directed performance-driven placement algorithm for FPGAs

机译:FPGA的力导向性能驱动布局算法

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We propose a net-based force-directed performance-driven placement algorithm for hierarchical FPGAs. The input netlist is first transformed into a net dependency graph. Then we partition this graph into clusters and a net-cluster level floorplan is derived by simulated annealing. Force-directed net placement is performed to generate a coarse net-level placement. Next, a force-directed logic cell placement is computed iteratively. Finally, we assign I/O pins using a modified Munkres' algorithm. The main contribution of our work is that we apply force-directed method in hierarchical FPGAs to improve delay as compared to Xilinx tools. We improve the post-layout delay and average connection delay by an average of 10.2% and 19.3% respectively over a set of MCNC combinational benchmark. We also improve the maximum clock frequency by an average of 20.7% over a set of MCNC sequential circuits.
机译:我们提出了一种用于分层FPGA的基于网络的力导向性能驱动布局算法。首先将输入网表转换为网依赖图。然后,我们将该图划分为多个簇,并通过模拟退火得出净簇级别的平面布置图。执行力导向的净放置,以生成粗略的净水平放置。接下来,迭代计算力导向逻辑单元的位置。最后,我们使用改进的Munkres算法分配I / O引脚。我们的工作的主要贡献是,与Xilinx工具相比,我们在分层FPGA中应用了强制控制方法,以改善延迟。在一组MCNC组合基准测试中,我们分别将布局后延迟和平均连接延迟分别提高了10.2%和19.3%。我们还通过一组MCNC时序电路将最大时钟频率平均提高了20.7%。

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