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Distributed Automatic Test Pattern Generation with a Parallel FAN Algorithm

机译:采用并行FAN算法的分布式自动测试模式生成

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The generation of test patterns for digital circuits is known as a NP hard problem [2]. Due to the backtracking mechanism in the sequential algorithms for test pattern generation it is difficult to speed up the process. In this paper we present a parallel formulation of the FAN algorithm [3,6] implemented on a heterogeneous cluster of workstations. Two different methods are used to take into account easy- and hard-to-detect faults. We'll show the strategies for our parallel implementations as well as implementation details. Linear speedups are shown with the results in section 4. Furthermore we introduce a new method for test vector compaction using a genetic algorithm. This results in smaller test sets compared to traditional methods. The reader should be familiar with notations of the FAN algorithm.
机译:数字电路测试图案的生成被称为NP难题[2]。由于用于测试模式生成的顺序算法中的回溯机制,很难加快处理速度。在本文中,我们提出了在异构工作站集群上实现的FAN算法[3,6]的并行表述。使用两种不同的方法来考虑易于检测和难以检测的故障。我们将展示并行实现的策略以及实现细节。线性加速的结果在第4节中显示。此外,我们介绍了一种使用遗传算法压缩测试向量的新方法。与传统方法相比,这将导致更小的测试集。读者应该熟悉FAN算法的符号。

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