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Built-in self-test generator design using nonuniform cellular automata model

机译:使用非均匀元胞自动机模型的内置自检生成器设计

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The paper presents a new test vector generator construction technique for built-in self-test (BIST). The technique is based on the cellular automata model nonuniform cellular automata (NUCA). In NUCA, cell neighbourhoods are not predefined but decided for each cell dynamically by the test vector set. The problem of finding the minimum NUCA topology that can generate a given precomputed test vector sequence is worked on and reduced to independent set-covering problems. Also, a polynomial time algorithm that decides on a small, but not minimal, cellular topology is introduced. Simulations using benchmark circuits showed that the hardware component cost of a test vector generator based on the NUCA model is considerably less than the cost of a single programmable logic array (PLA) approach.
机译:本文提出了一种用于内置自测(BIST)的新测试向量生成器构造技术。该技术基于细胞自动机模型非均匀细胞自动机(NUCA)。在NUCA中,小区邻域不是预先定义的,而是由测试向量集为每个小区动态确定的。寻找能够产生给定的预先计算的测试向量序列的最小NUCA拓扑的问题正在研究中,并简化为独立的集覆盖问题。而且,引入了决定小的但不是最小的蜂窝拓扑的多项式时间算法。使用基准电路进行的仿真表明,基于NUCA模型的测试矢量生成器的硬件组件成本大大低于单个可编程逻辑阵列(PLA)方法的成本。

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