Response shaper: a novel technique to enhance unknown tolerance for output response compaction

The presence of unknown values in the simulation result is a key barrier to effective output response compaction in practice. This paper proposes a simple circuit module, called a response shaper, to reshape the scan-out responses before feeding them to a space compactor. Along with the proposed reshaping algorithm, response shapers can help the space compactor to reduce the number of undetectable modeled and unmodeled faults in the presence of unknown values. Moreover, the proposed compaction scheme is ATPG-independent and its hardware requirement is pattern-independent. In our experiments, we use a simple XOR compactor as the space compactor to evaluate the effectiveness of the response shaper. The results show that the number of undetectable faults and unobservable scan-out responses can be significantly reduced in comparison with the results of a convolutional compactor. The number of the extra scan-in bits required for the control signals of the response shapers is only a small fraction of the total test data volume. Also, its hardware overhead is acceptable and the runtime of the reshaping algorithm is scalable for large industrial designs.