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An Evolutionary Approach to Runtime Variability Mapping and Mitigation on a Multi-Reconfigurable Architecture

机译:多重可重构架构运行时可变性映射和缓解的进化方法

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Intrinsic device variability has become a significant problem in deep sub-micron technology nodes. The stochastic variations in device performance, which are a result of structural irregularities at the atomic scale, can impact both the yield and reliability of a circuit design. In this paper we describe a novel multi-reconfigurable FPGA architecture, the programmable analogue and digital array (PAnDA), which can tackle this problem by allowing post-fabrication reconfiguration of the effective transistor gate widths in a circuit. We demonstrate the advantages of this architecture by creating a frequency variability map of the array using ring oscillators in order to ascertain the location of any frequency outliers. We then show that it is possible, using an evolutionary algorithm, to select alternative transistor configurations which minimise the difference in frequency between one of these outliers and the chips median frequency of operation. Such methods can be used to increase system performance and reliability by presenting an array with more uniform performance characteristics.
机译:内在设备可变性已成为深度亚微米技术节点中的重大问题。器件性能的随机变化是原子尺度下结构不规则的结果,可以影响电路设计的产量和可靠性。在本文中,我们描述了一种新型多重可重构的FPGA架构,可编程模拟和数字阵列(熊猫),其可以通过允许在电路中的有效晶体管栅极宽度的后制造后重新配置来解决该问题。我们通过使用环形振荡器创建阵列的频率可变性映射来展示该架构的优点,以确定任何频率异常值的位置。然后,我们示出了使用进化算法可以选择替代晶体管配置,该配置最小化这些异常值之一与芯片中间频率之间的频率之间的差异。这种方法可用于通过呈现具有更均匀性能特性的阵列来提高系统性能和可靠性。

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