Partial parallel factorization in soft-decision Reed-Solomon decoding

  • Authors:
  • Xinmiao Zhang

  • Affiliations:
  • Case Western Reserve University, Cleveland, OH

  • Venue:
  • GLSVLSI '06 Proceedings of the 16th ACM Great Lakes symposium on VLSI
  • Year:
  • 2006

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Abstract

Reed-Solomon (RS) codes have very broad applications in communications and data storage systems. The recently developed Koetter-Vardy (KV) soft-decision decoding algorithm of RS codes can achieve substantial coding gain, while has a complexity polynomial with respect to the codeword length. One of the major steps of the KV algorithm is the factorization step. A prediction-based architecture is developed in prior efforts to reduce the latency and silicon area of this step. However, the speedup can be achieved by this approach is limited by the serial nature of the factorization algorithm. The computations involved in multiple iteration levels can not be carried out simultaneously. In this work, a novel partial parallel architecture is proposed for the factorization step. The partial 2-parallel architecture can achieve a speedup of 19% over prior works.