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Reconfiguration Control Networks for TMR Systems with Module-Based Recovery

机译:具有基于模块的恢复的TMR系统的重新配置控制网络

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Field-Programmable Gate Arrays (FPGAs) provide ideal platforms for meeting the computational requirements of future space-based processing systems. However, FPGAs are susceptible to radiation-induced Single Event Upsets (SEUs). Techniques for dynamically reconfiguring corrupted modules of Triple Modular Redundant (TMR) components are well known. However, most of these techniques utilize resources that are themselves susceptible to SEUs to transfer reconfiguration requests from the TMR voters to a central reconfiguration controller. This paper evaluates the impact of these Reconfiguration Control Networks (RCNs) on the system's reliability and performance. We provide an overview of RCNs reported in the literature and compare them in terms of dependability, scalability and performance. We implemented our designs on a Xilinx Artix-7 FPGA to assess the resulting resource utilization and performance as well as to evaluate their soft error vulnerability using analytical techniques. We show that of the RCN topologies studied, an ICAP-based approach is the most reliable despite having the highest network latency. We also conclude that a module-based recovery approach is less reliable than scrubbing unless the RCN is triplicated and repaired when it suffers configuration memory errors.
机译:现场可编程门阵列(FPGA)提供了理想的平台,可以满足未来基于空间的处理系统的计算要求。但是,FPGA容易受到辐射引起的单事件翻转(SEU)的影响。动态重新配置三重模块冗余(TMR)组件的损坏模块的技术是众所周知的。但是,这些技术中的大多数都利用了自身容易受到SEU影响的资源,将重新配置请求从TMR选择器传递到中央重新配置控制器。本文评估了这些重新配置控制网络(RCN)对系统的可靠性和性能的影响。我们提供了文献中报告的RCN的概述,并在可靠性,可伸缩性和性能方面进行了比较。我们在Xilinx Artix-7 FPGA上实施了我们的设计,以评估最终的资源利用率和性能,并使用分析技术评估其软错误漏洞。我们显示,在所研究的RCN拓扑中,尽管具有最高的网络延迟,但基于ICAP的方法也是最可靠的。我们还得出结论,除非RCN遭受配置内存错误的影响而被三重修复,否则基于模块的恢复方法的可靠性不如清理。

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