随机解码器的容错性研究

Assem Hussein, M. Elmasry, V. Gaudet
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引用次数: 1

摘要

本文研究了基于随机计算的迭代解码器(随机解码器)在低密度奇偶校验(LDPC)编码环境下容忍电路软错误的能力,同时保持良好的误码率性能和低错误层。软错误可能是由于VDD扩展以降低功耗或超频系统以实现更高吞吐量而导致的预期故障。它们也可能是由于温度或工艺变化而导致的意外故障。我们开发了两个模型来模拟这些电路误差在系统级。我们将我们的模型应用于两个标准化的LDPC代码(10GBASE-T和WiMAX)。仿真结果表明,随机译码具有很强的容错能力。因此,随机解码在功耗非常低或性能要求很高的系统中非常有用,我们可以通过降低VDD或高度超频来推动功率或速度的限制,同时保持良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Fault Tolerance of Stochastic Decoders
This paper investigates the capability of iterative decoders based on stochastic computing (stochastic decoders) to tolerate circuit soft errors while maintaining good bit error rate performance and low error floors in the context of low-density parity-check (LDPC) coding. Soft errors can be intended faults as a result of either VDD scaling to reduce power consumption or overclocking the system to achieve a higher throughput. They can also be unintended faults as a result of temperature or process variations. We developed two models to emulate these circuit errors at the system level. We apply our models to two standardized LDPC codes (10GBASE-T and WiMAX). Simulation results show that stochastic decoding is very tolerant to faults and errors. Hence, stochastic decoding can be very useful in systems with very low power or high performance requirements where we can push the limits of power or speed by lowering VDD or highly overclocking the system while maintaining good performance.
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