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A Flexible Hybrid BCH Decoder for Modern NAND Flash Memories Using General Purpose Graphical Processing Units

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Summary

This study introduces a hybrid hardware-GPU approach for decoding Bose-Chaudhuri-Hocquenghem (BCH) codes, enhancing error correction in digital systems. The method efficiently corrects multiple bit errors across various finite fields with high throughput.

Keywords:
BCHCUDAGPUGalois fielddecoderflash memoryhybridiBM

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Area of Science:

  • Coding Theory
  • Digital Communications
  • Computer Engineering

Background:

  • Bose-Chaudhuri-Hocquenghem (BCH) codes are vital for error correction in flash memory and digital communication systems.
  • Existing BCH decoder solutions often rely on CPUs, hardware, or GPUs, with performance being critical for flash memory applications.
  • A flexible solution is needed to correct multiple bit errors across diverse finite fields (GF(2^m)).

Purpose of the Study:

  • To propose a novel, pragmatic approach for decoding BCH codes over different finite fields using a combination of hardware circuits and Graphics Processing Units (GPUs).
  • To enhance the flexibility and performance of BCH decoders for correcting multiple bit errors.

Main Methods:

  • A hybrid architecture is proposed, utilizing hardware for a modified syndrome generator and GPUs for the key-equation solver and error correction.
  • The modified syndrome generator offers zero latency in error-free scenarios.
  • GPUs are employed for error correction using the iterative Berlekamp-Massey (iBM) and Chien search algorithms when errors are detected.

Main Results:

  • The proposed partitioned approach successfully supports multiple bit error correction across different BCH block codes without performance degradation.
  • The modified syndrome generation method achieves zero latency for error-free cases.
  • The system demonstrates the ability to support various multiple finite fields with high throughput.

Conclusions:

  • The tandem hardware-GPU approach provides a flexible and high-performance solution for decoding BCH codes over diverse finite fields.
  • This method effectively addresses the need for robust error correction in systems sensitive to multiple bit errors.
  • The zero-latency modified syndrome generator and efficient GPU-based correction algorithms contribute to overall system efficiency.