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An algorithmic error-resilient scheme for robust LDPC decoding

机译:鲁棒LDPC解码的错误容错算法

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To fit into multiple communication standards, flexible Low-Density Parity-Check (LDPC) decoding is desirable to be implemented in a chip multiprocessor (CMP) system. However, reliability issues, such as soft errors and timing errors, are severer in future advanced CMP systems when CMOS technology scale. Therefore, enhancing error resilience for a CMP system becomes an important design issue. In this paper, we propose a design methodology to achieve a robust LDPC decoding based on algorithmic error-resilient method. We firstly analyze the performance degradation caused by the soft errors which occur in the computing units (check node units and bit node units), and then explore the inherent error-tolerant characteristic of LDPC decoding algorithm. In our proposed method, we exploit some characteristic distribution or behavior in the operations of the LDPC decoding algorithm to validate the computing results. The experimental results show that the proposed algorithmic error resilience can approach the error-free decoder while facing high injected soft-error rate of 10 in computing units, but with only 6.07% computational overhead. To the best of our knowledge, this is the first discussion about the LDPC decoding algorithm in terms of soft errors in computing units.
机译:为了适合多种通信标准,希望在芯片多处理器(CMP)系统中实现灵活的低密度奇偶校验(LDPC)解码。但是,随着CMOS技术的发展,在未来的高级CMP系统中,诸如软错误和定时错误之类的可靠性问题更加严重。因此,增强CMP系统的错误恢复能力成为重要的设计问题。在本文中,我们提出了一种基于算法错误恢复方法来实现鲁棒LDPC解码的设计方法。我们首先分析由计算单元(校验节点单元和位节点单元)中发生的软错误导致的性能下降,然后探讨LDPC解码算法的固有容错特性。在我们提出的方法中,我们利用LDPC解码算法的操作中的某些特征分布或行为来验证计算结果。实验结果表明,所提出的算法容错能力可以接近无误码解码器,同时在计算单元中面对较高的10%注入软错误率,但计算开销仅为6.07%。据我们所知,这是关于LDPC解码算法的第一个讨论,涉及计算单元中的软错误。

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