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FGTMR - Fine grain redundancy method for reconfigurable architectures under high failure rates

机译:高故障率下可重新配置架构的FGTMR - 细粒冗余方法

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For each new device generation based on smaller structures Single Event Errors (SEE) and intrinsic device faults gain more and more importance as device sensitivity increases. Triple Modular Redundancy (TMR) is a common reliability methodology for mitigating upsets and failures in architectures like modern Field Programmable Gate Arrays (FPGA). However for new device generations simply replicating complete systems may not be su#cient anymore especially in harsh environments, such as space applications, as higher failure rates may disturb a second instance before the faulty first one recovers. In this paper we focus on the Single Event Upset(SEU) mitigation challenges in nano scale architectures which can result in crucial situations. Our approach transforms the classical idea of TMR on module level down to a technological view based on FPGA architecture primitives. Such a fine grain approach allows to cope with several of the challenges caused by shrinking devices. This way the design can especially recover from multiple failures including Multiple Bit Upsets(MBUs). Moreover, we show how our approach can be integrated into standard tool flows thereby introducing TMR automatically. Finally we extend our idea to MBU tolerance by experiments.
机译:对于基于较小结构的每个新设备生成,单个事件错误(参见)和固有设备故障越来越重要,因为设备灵敏度增加。三重模块化冗余(TMR)是一种常见的可靠性方法,用于减轻架构中的upsets和失败,如现代领域可编程门阵列(FPGA)。然而,对于新的设备一代,简单地复制完整系统可能不是苏#时尤其是在恶劣的环境中,如空间应用,因为更高的故障率可能会在故障首次恢复之前打扰第二实例。在本文中,我们专注于纳米规模架构中的单一事件不安(SEU)缓解挑战,这可能导致关键的情况。我们的方法将TMR的古典思想转换为基于FPGA架构基元的技术视图。这种精细的谷物方法可以应对由收缩装置引起的几个挑战。这样,设计就可以从包括多个比特upsets(MBUS)的多个故障中恢复。此外,我们展示了我们的方法如何集成到标准工具流中,从而自动引入TMR。最后,我们通过实验将我们的想法扩展到MBU耐受性。

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