基于集群的多级分层FPGA布局

Hui Dai, Qiang Zhou, Jinian Bian, Yanhua Wang
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引用次数: 1

摘要

本文提出了一种多层分层FPGA (MFPGA)架构模型,并提出了一种基于聚类的布局算法。该算法具有多尺度优化的v型流,包括建设性的自下而上聚类过程和自上而下的放置过程。实验结果表明,与初始化vpr工具相比,我们的算法将MCNC基准设计的总线长和逻辑利用率平均提高了15%和10%以上。
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Cluster-based Placement for multilevel hierarchical FPGA
In this paper, we present a multilevel hierarchical FPGA (MFPGA) architecture model and propose a cluster-based placement algorithm for this model. The algorithm has a multi-scale optimized V-shape flow including constructive bottom-up clustering process and top-down placement process. Experimental results indicate that our algorithm improves total wire-length and logic utilization by more than 15% and 10% on average for MCNC benchmark designs compared with the start-of-art vpr tool.
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