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Design of parameterizable error-propagating space compactors for response observation

机译:可参数化误差传播空间压实器设计,用于响应观察

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We present an efficient space compaction method which propagates all realistic errors that can appear at the outputs of a circuit under test in response to a precomputed test set. Since the proposed method does not rely on structural information of the circuit under test, it can be readily applied to intellectual property (IP) cores. Space compaction of test responses for IP cores provides parallel access to their functional outputs and reduces testing time. A δ-bounded- weight error model is combined with a δ-response graph model to generate the logic specification for the compactor via graph coloring. Moreover a carefully-chosen subset of inputs of the circuit under test allows error propagation to be achieved using an arbitrarily small number of compactor outputs. The error-bound variable δ parametrizes the space compactor and the synthesis approach can be used to design several space compactors for the same circuit under test by simply varying δ. We illustrate the proposed method by presenting experimental results on compactor synthesis for several large ISCAS benchmark circuits.
机译:我们提出了一个有效的空间压缩方法,它响应于预先计算的测试集传播了在被测电路输出端的所有现实误差。由于所提出的方法不依赖于被测电路的结构信息,因此可以容易地应用于知识产权(IP)核心。 IP核心的测试响应的空间压缩提供对其功能输出的并行访问,并降低测试时间。 Δ边界重量误差模型与Δ响应图模型组合以通过图形着色来生成压缩机的逻辑规范。此外,在测试的电路的仔细选择子集允许使用任意少量的压缩器输出来实现误差传播。错误绑定的变量Δ参数化空间压实器和合成方法可用于通过简单地变化Δ设计用于在测试的相同电路的若干空间压实器。我们通过呈现关于几个大型ISCAS基准电路的压实机合成的实验结果来说明所提出的方法。

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