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A fast and energy-efficient Hamming decoder for software-defined radio using graphics processing units

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Abstract

The demand for scalable and fast error decoders has recently increased in software-defined radio-based communication systems. Hamming code, which is one of the promising error decoders, shows acceptable accuracy; however, the computational complexity of the decoder limits its use in real-time communication. To address this issue, this paper proposes a fully parallel implementation of the (7, 4) Hamming code on a graphics processing unit (GPU) by exploiting massive data-parallelism and increasing on-chip constant memory accesses. To further improve the performance of this proposed parallel approach, this paper explores the impact of different thread/block configurations and selects optimal thread/block configurations, which can occupy more hardware resources for performing parity checks, error detection and correction, and decoding of the received codeword. In addition, the proposed GPU-based Hamming decoder can provide significant scalability by supporting different message sizes, including 355,907 bytes, 2,959,475 bytes, and 12,835,890 bytes. To verify the effectiveness of the GPU-based parallel Hamming decoder, this paper compares its performance with that of the multi-threading central processing unit (CPU) approach which is executed on an Intel multi-core processor. Experimental results indicate that the proposed GPU-based decoder operates at least 15.13 times faster and reduces the energy consumption by up to 913.17 % compared to the multi-threading CPU-based approach.

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Acknowledgments

This work was supported by the 2014 Research Fund of the University of Ulsan.

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Authors and Affiliations

  1. School of Electrical, Electronic, and Computer Engineering, University of Ulsan, Bldg. #7, Room #308, 93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, 680-749, South Korea

    Jaeyoung Kim, Md Shohidul Islam & Jong-Myon Kim

  2. School of Electronics and Computer Engineering, Chonnam National University, Bldg. #7, Room#506, 77 Yongbong-ro, Buk-gu, Gwangju, 500-757, South Korea

    Myeongsu Kang & Cheol-Hong Kim

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  1. Jaeyoung Kim
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Correspondence to Jong-Myon Kim.

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Kim, J., Kang, M., Islam, M.S. et al. A fast and energy-efficient Hamming decoder for software-defined radio using graphics processing units. J Supercomput 71, 2454–2472 (2015). https://doi.org/10.1007/s11227-015-1396-x

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