一种利用未使用资源容忍基于sram的fpga软错误的自适应冗余方法

Somayeh Bahramnejad, H. Zarandi
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引用次数: 2

摘要

在本文中,我们提出了一种基于冗余的自适应容错方法,用于在基于sram的fpga中实现电路以容忍软误差效应。该方法根据网络的系统故障率(SFR)特性,利用未使用的资源实现部分冗余。给定网络的SFR是当网络出现故障时系统失效的概率。冗余是基于可用资源的自适应冗余,从而降低了基于sram的fpga实现电路的系统故障率。我们研究了部分冗余对几个MCNC基准测试的影响。结果表明,如果最大可容忍的总开销为20%,SFR增加到13%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Adaptive Redundancy Oriented Method to Tolerate Soft Errors in SRAM-Based FPGAs Using Unused Resources
In this paper, we present an adaptive SEU-tolerance method based on redundancy for implementing circuits in SRAM-based FPGAs to tolerate soft error effects. This method uses unused resources for partial redundancy based on a property of nets called System Failure Rate (SFR). SFR of a given net is the probability of system failure when the net is faulty. The redundancy is performed based on available resources, adaptively, so that system failure rate of circuit implemented in SRAM-based FPGAs decreases. We have investigated the effect of partial redundancy on several MCNC benchmarks. The results show that if maximum tolerable overall overhead is 20%, SFR increases up to 13%.
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