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Scenario preprocessing approach for the reconfiguration of fault-tolerant NoC-based MPSoCs

机译:用于重新配置基于容错的NoC的MPSoC的方案预处理方法

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The latest technologies of integrated circuit manufacturing allow billions of transistors to be arranged on a single chip, enabling the chip to implement a complex parallel system, which requires a communications architecture that has high scalability and a high degree of parallelism, such as a Network-on-Chip (NoC). These technologies are very close to the physical limitations, which increases the faults in manufacturing and at runtime. Therefore, it is essential to provide a method for fault recovery that would enable the NoC to operate in the presence of faults and still ensure deadlock-free routing. The preprocessing of the most probable fault scenarios enables us to anticipate the calculation of deadlock-free routings, reducing the time that is necessary to interrupt the system during a fault occurrence. This work proposes a technique that employs the preprocessing of fault scenarios based on forecasting fault tendencies, which is performed with a fault threshold circuit operating in accordance with high-level software. We propose methods for dissimilarity analysis of scenarios based on cross-correlation measurements of link fault matrices. Experimental results employing RTL simulation with synthetic traffic prove the quality of the analytic metrics that are used to select the preprocessed scenarios. Furthermore, the experiments show the efficacy and efficiency of the proposed dissimilarity methods, quantifying the latency penalization when using the coverage scenarios approach. (C) 2015 Elsevier B.V. All rights reserved.
机译:集成电路制造的最新技术允许在单个芯片上布置数十亿个晶体管,从而使该芯片能够实现复杂的并行系统,这需要具有高可扩展性和高度并行度的通信体系结构,例如Network-片上(NoC)。这些技术非常接近物理限制,从而增加了制造和运行时的故障。因此,必须提供一种故障恢复方法,该方法将使NoC能够在存在故障的情况下运行,并仍然确保无死锁的路由。通过对最可能的故障场景进行预处理,我们可以预期无死锁路由的计算,从而减少了在故障发生期间中断系统所需的时间。这项工作提出了一种技术,该技术基于对故障趋势的预测来对故障场景进行预处理,该技术通过根据高级软件运行的故障阈值电路来执行。我们提出了基于链路故障矩阵的互相关测量的方案相异性分析方法。将RTL模拟与合成流量结合使用的实验结果证明了用于选择预处理方案的分析指标的质量。此外,实验显示了所提出的相异性方法的有效性和效率,量化了使用覆盖场景方法时的延迟惩罚。 (C)2015 Elsevier B.V.保留所有权利。

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