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Updated: Dec 9, 2025

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Cost-optimized heterogeneous FPGA architecture for non-iterative hologram generation.

Daoming Dong, Youchao Wang, Andrew Kadis

    Applied Optics
    |September 9, 2020
    PubMed
    Summary

    Field-programmable gate arrays (FPGAs) accelerate computer-generated hologram (CGH) creation. A novel heterogeneous FPGA architecture offers a 2.5x speedup over CPU-based software for faster, cost-effective hologram generation.

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    Area of Science:

    • Computer engineering
    • Optics
    • Digital signal processing

    Background:

    • Computer-generated holograms (CGHs) demand substantial computational resources.
    • Field-programmable gate arrays (FPGAs) offer parallel processing capabilities suitable for accelerating CGH generation algorithms.
    • Non-iterative algorithms are preferred for real-time or high-speed CGH synthesis.

    Purpose of the Study:

    • To present a cost-optimized heterogeneous FPGA architecture for non-iterative CGH generation.
    • To evaluate the performance and cost-effectiveness of the proposed hardware implementation.
    • To demonstrate the feasibility of integrating the architecture into compact display systems.

    Main Methods:

    • Implementation of a one-step phase retrieval algorithm on a heterogeneous FPGA architecture.

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  • Design of a parallel processing architecture optimized for computational efficiency.
  • Performance comparison against a high-end multi-core CPU software implementation.

    • Main Results:

    • The FPGA hardware implementation achieved a 2.5x speed improvement compared to the software baseline.
    • Demonstrated trade-offs between hardware cost and computational performance.
    • Validated the suitability of the architecture for compact, cost-optimized display systems.

    Conclusions:

    • The proposed heterogeneous FPGA architecture provides a significant acceleration for CGH generation.
    • This approach offers a viable solution for real-time holographic display applications.
    • The system is optimized for both cost and size, enabling practical deployment.