An Improved False Aggressor Pruning Algorithm for Effective Crosstalk Tests
HyungJun Cho, Kyungmin Kim, Youbean Kim, Sungho Kang · 대한전자공학회 ISOCC · 2007
In this paper, we present an efficient false aggressor pruning algorithm with functional correlation. A back-tracing algorithm and a logic implication approach are used to identify false coupling interaction between coupled lines. Crosstalk noises between neighboring wires can make timing errors or functional failures. The pessimism due to false aggressors must be minimized to reduce the additional design cost. The proposed algorithm increases the accuracy in static timing analysis by pruning false aggressors and decreases the pessimism efficiently. The proposed algorithm can reduce the time consumption of the crosstalk test by pruning the false aggressors. The proposed algorithm can increase the accuracy of crosstalk test by handling glitches and overshoots which are not considered in the previous works.