High-throughput software LDPC decoder on GPU

The new or future communication systems require much higher flexibility and scalability to support diverse scenarios. In this paper, a high-throughput low-density parity-check (LDPC) decoder on graphics processing unit is presented to meet the flexible and scalable requirements. A memory-reduced forward/backward approach for the check node update is proposed. Moreover, elaborate on-chip memory allocations are conducted to improve memory bandwidth. The proposed (26112, 8448) 5G LDPC decoder on RTX4090 achieves 27.6 Gbps decoding throughput with five layered iterations, while the latency is less than 1 ms. Compared with related works, the throughput speedups obtained by the presented LDPC decoder are from $$1.18\times$$ to $$12.4\times$$ .

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Publication Details

Journal
EURASIP Journal on Advances in Signal Processing
Published
2024-10-24
DOI
https://doi.org/10.1186/s13634-024-01190-8
Citations
1
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
0.35

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article

High-throughput software LDPC decoder on GPU

Ling Zhao, Zhanxian Liu
1 citations
EURASIP Journal on Advances in Signal Processing
Error Correcting Code Techniques
0.35
article

High-throughput software LDPC decoder on GPU

Ling Zhao, Zhanxian Liu
article en
1 citations

Abstract

The new or future communication systems require much higher flexibility and scalability to support diverse scenarios. In this paper, a high-throughput low-density parity-check (LDPC) decoder on graphics processing unit is presented to meet the flexible and scalable requirements. A memory-reduced forward/backward approach for the check node update is proposed. Moreover, elaborate on-chip memory allocations are conducted to improve memory bandwidth. The proposed (26112, 8448) 5G LDPC decoder on RTX4090 achieves 27.6 Gbps decoding throughput with five layered iterations, while the latency is less than 1 ms. Compared with related works, the throughput speedups obtained by the presented LDPC decoder are from $$1.18\times$$ to $$12.4\times$$ .

EURASIP Journal on Advances in Signal ProcessingVol. 2024(1)
Beihang University (CN), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities, Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 37%
Error Correcting Code Techniques
0.35
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High-throughput software LDPC decoder on GPU — Ling Zhao, Zhanxian Liu · EURASIP Journal on Advances in Signal Processing (2024) | TGRS Research Map | TGRS