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This paper presents the design and implementation of a nonlinear lookup table (LUT) on three FPGA platforms—Kintex, Virtex, and Genesys—focusing on performance efficiency, resource utilization, and sustainability. Through comprehensive experiments, the study evaluates hardware parameters such as global clock buffers (BUFG) and input/output resources (IO) utilization, comparing the computational efficiency and energy consumption of each platform. The results indicate that the Genesys board demonstrates higher IO resource consumption, making it suitable for applications requiring intensive IO operations. This research aligns with several including Industry, Innovation, and Infrastructure by promoting efficient and innovative digital infrastructure. It contributes to by optimizing energy usage in FPGA-based systems and by focusing on the efficient use of hardware resources. Additionally, the study addresses by minimizing the environmental footprint of computing processes and supports through advancing digital technologies for sustainable urban infrastructure. The insights gained will guide the selection of energy-efficient, high-performance FPGA platforms for various real-time applications.

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Nonlinear Lookup Table Implementation and Comparative Performance Analysis of Kintex, Virtex, and Genesys FPGA Boards for Advanced Digital Manufacturing

  • 会议论文

  • 发表日期：

    2025年

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  • Anupam Yadav,
  • S. E. Shcheklein,
  • Mandeep Kumar,
  • Rakesh Chandrashekar,
  • Muhamad Hussen

摘要

This paper presents the design and implementation of a nonlinear lookup table (LUT) on three FPGA platforms—Kintex, Virtex, and Genesys—focusing on performance efficiency, resource utilization, and sustainability. Through comprehensive experiments, the study evaluates hardware parameters such as global clock buffers (BUFG) and input/output resources (IO) utilization, comparing the computational efficiency and energy consumption of each platform. The results indicate that the Genesys board demonstrates higher IO resource consumption, making it suitable for applications requiring intensive IO operations. This research aligns with several including Industry, Innovation, and Infrastructure by promoting efficient and innovative digital infrastructure. It contributes to by optimizing energy usage in FPGA-based systems and by focusing on the efficient use of hardware resources. Additionally, the study addresses by minimizing the environmental footprint of computing processes and supports through advancing digital technologies for sustainable urban infrastructure. The insights gained will guide the selection of energy-efficient, high-performance FPGA platforms for various real-time applications.