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Word-Level Structure Identification In FPGA Designs Using Cell Proximity Information

Hardware Architecture 2023-03-15 v1

Abstract

Reverse engineering of FPGA based designs from the flattened LUT level netlist to high level RTL helps in verification of the design or in understanding legacy designs. We focus on flattened netlists for FPGA devices from Xilinx 7 series and Zynq 7000. We propose a design element grouping algorithm that makes use of the location information of the elements on the physical device after place and route. The proposed grouping algorithm gives clusters with average NMI of 0.73 for groupings including all element types. The benchmarks chosen include a range of designs from communication, arithmetic units, processors and DSP processing units.

Keywords

Cite

@article{arxiv.2303.07405,
  title  = {Word-Level Structure Identification In FPGA Designs Using Cell Proximity Information},
  author = {Aparajithan Nathamuni-Venkatesan and Ram-Venkat Narayanan and Kishore Pula and Sundarakumar Muthukumaran and Ranga Vemuri},
  journal= {arXiv preprint arXiv:2303.07405},
  year   = {2023}
}

Comments

Paper accepted into proceedings of VLSID2023 conference

R2 v1 2026-06-28T09:14:56.729Z