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A New Scan Architecture for Both Low Power Testing and Test Volume Compression Under SOC Test Environment

机译:SOC测试环境下用于低功耗测试和测试体积压缩的新型扫描架构

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摘要

A new scan architecture for both low power testing and test volume compression is proposed. For low power test requirements, only a subset of scan cells is loaded with test stimulus and captured with test responses by freezing the remaining scan cells according to the distribution of unspecified bits in the test cubes. In order to optimize the proposed process, a novel graph-based heuristic is proposed to partition the scan chains into several segments. For test volume reduction, a new LFSR reseeding based test compression scheme is proposed by reducing the maximum number of specified bits in the test cube set, s{sub}(max), virtually. The performance of a conventional LFSR reseeding scheme highly depends on s{sub}(max). In this paper, by using different clock phases between an LFSR and scan chains, and grouping the scan cells by a graph-based grouping heuristic, s{sub}(max) could be virtually reduced. In addition, the reduced scan rippling in the proposed test compression scheme can contribute to reduce the test power consumption, while the reuse of some test results as the subsequent test stimulus in the low power testing scheme can reduce the test volume size. Experimental results on the largest ISCAS89 benchmark circuits show that the proposed technique can significantly reduce both the average switching activity and the peak switching activity, and can aggressively reduce the volume of the test data, with little area overhead, compared to the previous methods.
机译:提出了一种用于低功耗测试和测试量压缩的新型扫描架构。对于低功率测试要求,仅扫描单元的子集会加载测试激励,并根据测试多维数据集中未指定位的分布冻结其余扫描单元,从而捕获测试响应。为了优化所提出的过程,提出了一种新颖的基于图的启发式方法来将扫描链划分为几个段。为了减少测试量,提出了一种新的基于LFSR重播的测试压缩方案,方法是实际上减少测试立方体集中s {sub}(max)的指定位数。常规LFSR播种方案的性能高度取决于s {sub}(max)。在本文中,通过在LFSR和扫描链之间使用不同的时钟相位,并通过基于图的分组试探法对扫描单元进行分组,可以实际上降低s {sub}(max)。此外,所提出的测试压缩方案中减少的扫描波纹可以有助于降低测试功耗,而在低功耗测试方案中将某些测试结果作为后续测试激励的重用可以减小测试体积。在最大的ISCAS89基准电路上的实验结果表明,与以前的方法相比,所提出的技术可以显着降低平均开关活动和峰值开关活动,并且可以在不增加面积开销的情况下积极减少测试数据量。

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