A genetic algorithm for testable data path synthesis

H. Harmanani, R. Saliba, M. Khoury
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引用次数: 2

Abstract

A high level synthesis for testability method is presented with the objective to generate testable resistor transistor logic designs from behavioral descriptions. The approach is formulated as an allocation problem and solved using an efficient genetic algorithm that generates cost-effective testable designs. We follow the allocation method with an automatic test point selection algorithm that trades off design area and delay with test quality. The method is implemented and design comparisons are reported.
可测试数据路径合成的遗传算法
提出了一种可测试性的高级综合方法,目的是根据行为描述生成可测试的电阻晶体管逻辑设计。该方法被描述为一个分配问题,并使用有效的遗传算法来求解,该算法产生具有成本效益的可测试设计。我们遵循自动测试点选择算法的分配方法,该算法在设计面积和延迟与测试质量之间进行权衡。该方法的实现和设计比较报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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