Proposed Title:

Optimizing CRC Processing of Stride-x architecture with 8-Input LUT for Enhanced Speed and Resource Efficiency

Improvement of this project :

• Increases the speed of CRC computations by leveraging stride parallel processing capabilities of the 8-input LUT architecture.

• To developed Stride 1, Stride 2, Stride 4, Stride 8, Stride 16 and Stride 32, using CRC-32 polynomials and minimize the logic resources and power consumption required for CRC computation on FPGA.

Software Implementation:

• Modelsim
• Xilinx Vivado

Proposed System:

Cyclic Redundancy Check (CRC) is a widely used error-detecting code that ensures the integrity of data in communication systems and storage devices. This paper presents a novel implementation of an 8-input Look-Up Table (LUT) architecture for efficient CRC computation with stride lengths varying from 1 to 32. By leveraging the LUT-based approach, the proposed design aims to optimize both speed and resource utilization in FPGA. The traditional CRC computation methods often involve sequential bitwise processing, which can be time-consuming and resource-intensive. In contrast, the proposed 8-input LUT architecture allows for parallel processing of multiple bytes, significantly accelerating the CRC computation. This paper explores the design and implementation of the LUT architecture, detailing the generation of precomputed CRC values for different polynomials, including CRC-32, CRC-64, CRC-128, CRC-256, and CRC-512. For each stride length—Stride 1 (8 bits), Stride 2 (16 bits), Stride 4 (32 bits), Stride 8 (64 bits), Stride 16 (128 bits), and Stride 32 (256 bits)—the architecture efficiently maps input data to corresponding CRC values using the precomputed LUTs. The performance of the 8-input LUT architecture is evaluated in terms of logic utilization, computation speed, and power consumption. Experimental results demonstrate that the proposed design achieves significant improvements in processing speed and resource efficiency compared to traditional CRC computation methods. The scalability of the architecture with different stride lengths offers flexibility in balancing throughput and hardware complexity, making it an ideal solution for high-speed data transmission and storage applications. This research contributes to the field of digital design by providing a robust and scalable approach to CRC computation, paving the way for more efficient error-detection mechanisms in modern communication systems.

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A High Speed CRC-32 Implementation on FPGA