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Accelerating Regular LDPC Code Decoders on GPUs

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4 Author(s)
Cheng-Chun Chang ; Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan ; Yang-Lang Chang ; Min-Yu Huang ; Bormin Huang

Modern active and passive satellite and airborne sensors with higher temporal, spectral and spatial resolutions for Earth remote sensing result in a significant increase in data volume. This poses a challenge for data transmission over error-prone wireless links to a ground receiving station. Low-density parity-check (LDPC) codes have been adopted in modern communication systems for robust error correction. Demands for LDPC decoders at a ground receiving station for efficient and flexible data communication links have inspired the usage of a cost-effective high-performance computing device. In this paper we propose a graphic-processing-unit (GPU)-based regular LDPC decoders with the log sum-product iterative decoding algorithm (log-SPA). The GPU code was written to run NVIDIA GPUs using the compute unified device architecture (CUDA) language with a novel implementation of asynchronous data transfer for LDPC decoding. Experimental results showed that the proposed GPU-based high-throughput regular LDPC decoder achieved a significant 271x speedup compared to its CPU-based single-threaded counterpart written in the C language.

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Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of  (Volume:4 ,  Issue: 3 )