TY - GEN
T1 - EffiTest
T2 - 53rd Annual ACM IEEE Design Automation Conference, DAC 2016
AU - Zhang, Grace Li
AU - Li, Bing
AU - Schlichtmann, Ulf
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/6/5
Y1 - 2016/6/5
N2 - At nanometer manufacturing technology nodes, process variations significantly affect circuit performance. To combat them, post-silicon clock tuning buffers can be deployed to balance timing budgets of critical paths for each individual chip after manufacturing. The challenge of this method is that path delays should be measured for each chip to configure the tuning buffers properly. Current methods for this delay measurement rely on path-wise frequency stepping. This strategy, however, requires too much time from expensive testers. In this paper, we propose an efficient delay test framework (EffiTest) to solve the post-silicon testing problem by aligning path delays using the already-existing tuning buffers in the circuit. In addition, we only test representative paths and the delays of other paths are estimated by statistical delay prediction. Experimental results demonstrate that the proposed method can reduce the number of frequency stepping iterations by more than 94% with only a slight yield loss.
AB - At nanometer manufacturing technology nodes, process variations significantly affect circuit performance. To combat them, post-silicon clock tuning buffers can be deployed to balance timing budgets of critical paths for each individual chip after manufacturing. The challenge of this method is that path delays should be measured for each chip to configure the tuning buffers properly. Current methods for this delay measurement rely on path-wise frequency stepping. This strategy, however, requires too much time from expensive testers. In this paper, we propose an efficient delay test framework (EffiTest) to solve the post-silicon testing problem by aligning path delays using the already-existing tuning buffers in the circuit. In addition, we only test representative paths and the delays of other paths are estimated by statistical delay prediction. Experimental results demonstrate that the proposed method can reduce the number of frequency stepping iterations by more than 94% with only a slight yield loss.
UR - http://www.scopus.com/inward/record.url?scp=84977103621&partnerID=8YFLogxK
U2 - 10.1145/2897937.2898017
DO - 10.1145/2897937.2898017
M3 - Conference contribution
AN - SCOPUS:84977103621
T3 - Proceedings - Design Automation Conference
BT - Proceedings of the 53rd Annual Design Automation Conference, DAC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 June 2016 through 9 June 2016
ER -