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Nanofabric topologies and reconfiguration algorithms to support dynamically adaptive fault tolerance

机译:纳米结构拓扑和重新配置算法可支持动态自适应容错

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Emerging nanoelectronics are expected to have very high manufacture-time defect rates and operation-time fault rates. Traditional N-modular redundancy (NMR) exploits the large device densities offered by these nanoelectronics to tolerate these high fault rates by allocating redundant resources according to the worst case fault rates. However, this approach is inflexible when the fault rates are time varying. In this paper, we propose a dynamically adaptive NMR approach by developing: (i) a genre of nanofabric topologies that supports sharing of redundancies in the NMR approach so as to adapt to the time varying fault rates and (ii) reconfiguration algorithms for these topologies to deal with fault tolerance loss caused by manufacturing defects and operation-time online faults, respectively. Simulation results verify that the ability to construct reliable systems, possibly the paramount consideration in constructing working applications in nanoelectronics, is significantly improved with the proposed flexible NMR architecture and the reconfiguration algorithms.
机译:新兴的纳米电子产品有望具有很高的制造时缺陷率和运行时故障率。传统的N模块化冗余(NMR)利用这些纳米电子器件提供的大设备密度,通过根据最坏情况的故障率分配冗余资源来容忍这些高故障率。但是,当故障率随时间变化时,这种方法是不灵活的。在本文中,我们通过开发:(i)一种支持NMR方法中冗余冗余共享的纳米织物拓扑类型,以适应时变故障率;以及(ii)这些拓扑的重新配置算法,提出了一种动态自适应NMR方法。分别处理由制造缺陷和运行时间在线故障引起的容错损失。仿真结果证明,通过提出的灵活NMR架构和重新配置算法,可以显着提高构建可靠系统的能力,这可能是构建纳米电子应用程序时最重要的考虑因素。

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