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Highly Efficient Parallel Row-Layered Min-Sum MDPC Decoder for McEliece Cryptosystem
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DOI：10.1007/s11265-026-01987-w.png)
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Abstract
En 中文
The medium-density parity-check (MDPC) code-based McEliece cryptosystem remains a finalist of the post-quantum cryptography standard. The Min-sum decoding algorithm achieves better performance-complexity tradeoff than other algorithms for MDPC codes. However, the prior Min-sum MDPC decoder requires large memories, whose complexity dominates the overall complexity. Besides, its actual achievable parallelism is limited. This paper has four contributions: For the first time, the row-layered scheduling scheme is exploited to substantially reduce the memory requirement of MDPC decoders; A low-complexity scheme is developed to mitigate the performance loss caused by finite precision representation of the messages and high column weights of MDPC codes in row-layered decoding; Constraints are added to the parity check matrix construction to enable effective parallel processing with negligible impacts on the decoder performance and resilience towards attacks; A novel parity check matrix division scheme for highly efficient parallel processing is proposed and the corresponding parallel row-layered decoder architecture is designed. The number of clock cycles for each decoding iteration is reduced by a factor of L using the proposed L-parallel decoder with very small memory overhead. For an example 2-parallel decoder, the proposed design leads to 26% less memory requirement and 70% reduction on the latency to convergence compared to the prior decoder.
Keywords:
Error-correcting codes
McEliece cryptosystem
Medium-density parity-check codes
Min-sum algorithm
Parallel decoder
Post-quantum cryptography
Row-layered scheduling
Journal
J
IF:
1.8
Papers:
36
Citations:
0
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