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Design of Optimal Scan Tree Based on Compact Test Patterns for Test Time Reduction

机译:基于紧凑测试模式的最优扫描树设计以减少测试时间

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Scan tree architecture has been proposed to reduce the test application time of full scan chain by placing multiple scan cells in parallel. Most existing techniques rely on non-compact test pattern sets to construct the scan tree. However, they produce inefficient scan tree when highly compact test sets with few don't cares are used. In this paper, the depth of the scan tree based on approximate compatibility relation for completely specified test data set is analyzed probabilistically by modeling its construction as a vertex coloring problem. The upper bound of is computed and demonstrated to be a prime factor that limits the efficiency of scan tree construction based on both compatible and approximately compatible test data between two flip-flops. Inverse compatibility and aggressive approximate compatibility are then proposed to increase the edges-per-vertex for vertex coloring. The Q′-SD connection between two adjacent scan cells is exploited to implement the inverse compatibility with no cost or timing impact. To maintain the fault coverage, the missing faults under the tree scan mode can be detected by switching the same base architecture into the linear scan mode with negligible hardware overhead as shown by the experimental results on ISCAS89, ISCAS99 and LGSynth93 benchmark circuits. On average, the scan tree generated by our method reduces the test time of the full scan chain by 56.65 percent, and that of the scan tree designed by the approximate compatibility method by 39.18 percent under the same compact test sets.
机译:已经提出了扫描树体系结构,以通过并行放置多个扫描单元来减少完整扫描链的测试应用时间。大多数现有技术都依赖非紧凑测试模式集来构建扫描树。但是,当使用高度精简的测试集而无需关心时,它们会产生低效率的扫描树。本文通过对完全指定的测试数据集基于近似兼容性关系的扫描树的深度进行了概率分析,方法是将其构造建模为顶点着色问题。计算出的上限是一个主要因素,它基于两个触发器之间的兼容和近似兼容的测试数据来限制扫描树构建的效率。然后提出了逆兼容性和积极的近似兼容性,以增加用于顶点着色的每个顶点的边缘。利用两个相邻扫描单元之间的Q'-SD连接来实现反向兼容性,而不会影响成本或时序。为了保持故障覆盖范围,可以通过将相同的基本体系结构切换到线性扫描模式,并以可忽略的硬件开销来检测树状扫描模式下丢失的故障,如ISCAS89,ISCAS99和LGSynth93基准电路上的实验结果所示。在相同的紧凑测试集下,我们的方法生成的扫描树平均将整个扫描链的测试时间减少了56.65%,而通过近似兼容方法设计的扫描树的测试时间减少了39.18%。

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