基于启发式搜索的测试模式压缩方案

M. Baráth, S. Asha Pon, V. Jeyalakshmi
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引用次数: 0

摘要

随着系统级芯片的发明,为了保证器件的可靠性,VLSI测试成为一项必不可少的过程。为了保证片上系统的有效性,需要更大的测试数据量。这将导致过度的功耗,也增加了设备的测试时间。此外,需要更大的内存来存储这些庞大的测试数据。因此,为了克服这些缺点,必须减少测试数据量。提出了一种基于遗传算法的测试数据压缩方案,使测试功率最小化。测试功率最小化是通过减少测试模式之间的汉明距离来实现的。该算法在c17iscas’85基准组合电路中实现。实验结果表明,测试模式数减少67.74%,汉明距离减少49.35%。
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Heuristic Search based Test Pattern Compression Scheme
VLSI testing becomes a mandatory process with invention of system-on chip to ensure device reliability. To assure the effectiveness of system-on chip, larger test data volume are required. This leads to excessive power consumption and also increases the device testing time. Additionally, larger memory is required to store this enormous test data. Hence, to overcome these drawbacks test data volume has to be reduced. This paper proposes a test data compression scheme based on Genetic algorithm to minimize test power. Test power minimization is accomplished by reducing hamming distance among test patterns. Proposed algorithm is implemented in c17 ISCAS’85 benchmark combinational circuit. Experimental result shows that 67.74% reduction on test pattern count and 49.35% reduction in hamming distance is observed.
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