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On Generation of Delay Test with Capture Power Safety

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VLSI Design and Test (VDAT 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 711))

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Abstract

Manufacturing test application without violation of circuit power budget is one of the primary concern for test engineers today. Excessive power demand often triggers false failures hence reduces the yield. Most of the automatic test pattern generation (ATPG) algorithms and test set modification methods have been proposed to minimize power requirement during the test. However, power reduction achieved is not enough as functional power budget of the circuit is usually much smaller than the high activity producing test patterns. This paper proposes an optimization problem formulation which targets test generation of transition delay faults without exceeding operative power limit. An optimization problem is constructed, and tests have been generated for slow-to-rise and slow-to-fall transition delay faults. The proposed method is capable of producing both Launch-On-Capture and Launch-On-Shift delay vectors. A pseudo SAT-based solver can be exercised to solve the formulated optimization problem. As the problem is optimized to maximize the number of faults detected under functional and power constraints of the circuit, this helps in generating the compact test set. Experiments are conducted on ISCAS89 benchmark circuits support the effectiveness of the proposed technique.

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Acknowledgement

The authors would like to thank Ministry of Electronics and Information technology, the government of India for supporting research in this field. We also acknowledge all the members of Computer Architecture and Dependable Systems Lab IIT Bombay for the valuable contribution.

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Correspondence to Rohini Gulve .

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Gulve, R., Hage, N. (2017). On Generation of Delay Test with Capture Power Safety. In: Kaushik, B., Dasgupta, S., Singh, V. (eds) VLSI Design and Test. VDAT 2017. Communications in Computer and Information Science, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-10-7470-7_58

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  • DOI: https://doi.org/10.1007/978-981-10-7470-7_58

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7469-1

  • Online ISBN: 978-981-10-7470-7

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