A 4.86-pJ/b Energy-Efficient Fully Parallel Stochastic LDPC Decoder With Two-Stage Shared Memory

The complex calculations of the low-density parity-check (LDPC) decoder result in significant energy and hardware consumption. To solve the challenge, this brief describes a fully parallel stochastic LDPC decoder with a two-stage shared memory (TSM) variable node (VN). To enhance cost efficiency, our design incorporates a shared low-cost random number generator (RNG) for all 2160 channels. We introduce a TSM VN function, which demonstrates faster convergence and reduced hardware overhead in comparison with the existing methods. We have taped out the (2160, 1760) stochastic LDPC decoder in the 55-nm process. The measure results exhibit that the proposed design achieves a throughput of 57.6 Gb/s, an efficiency of 33.68 Gb/s/mm2, and a power efficiency of 4.86 pJ/bit, underlining superior performance in terms of decoding throughput, hardware efficiency, and energy conservation.

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Publication Details

Journal
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Published
2024-11-08
DOI
https://doi.org/10.1109/tvlsi.2024.3488716
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

A 4.86-pJ/b Energy-Efficient Fully Parallel Stochastic LDPC Decoder With Two-Stage Shared Memory

Runsheng Wang, Yizhuo Zhou, Yakun Zhou, Jienan Chen et al.
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Error Correcting Code Techniques
article

A 4.86-pJ/b Energy-Efficient Fully Parallel Stochastic LDPC Decoder With Two-Stage Shared Memory

Runsheng Wang, Yizhuo Zhou, Yakun Zhou, Jienan Chen, Chuan Zhang, Zihan Xia
article en

Abstract

The complex calculations of the low-density parity-check (LDPC) decoder result in significant energy and hardware consumption. To solve the challenge, this brief describes a fully parallel stochastic LDPC decoder with a two-stage shared memory (TSM) variable node (VN). To enhance cost efficiency, our design incorporates a shared low-cost random number generator (RNG) for all 2160 channels. We introduce a TSM VN function, which demonstrates faster convergence and reduced hardware overhead in comparison with the existing methods. We have taped out the (2160, 1760) stochastic LDPC decoder in the 55-nm process. The measure results exhibit that the proposed design achieves a throughput of 57.6 Gb/s, an efficiency of 33.68 Gb/s/mm2, and a power efficiency of 4.86 pJ/bit, underlining superior performance in terms of decoding throughput, hardware efficiency, and energy conservation.

IEEE Transactions on Very Large Scale Integration (VLSI) SystemsVol. 33(4)
University of Electronic Science and Technology of China (CN), Peking University (CN), Southeast University (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 77%
Error Correcting Code Techniques
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A 4.86-pJ/b Energy-Efficient Fully Parallel Stochastic LDPC Decoder With Two-Stage Shared Memory — Runsheng Wang, Yizhuo Zhou, et al. · IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2024) | TGRS Research Map | TGRS