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A Novel Method for Reducing Metal Variation With Statistical Static Timing Analysis

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4 Author(s)
Eric A. Foreman ; Systems and Technology Group, IBM, Essex Junction, VT, USA ; Peter A. Habitz ; Ming-C. Cheng ; Chandu Visweswariah

Process variation continues to increase with new technologies. With the advent of statistical static timing analysis (SSTA), multiple independent sources of variation can be modeled. This paper proposes a novel technique to reduce variability of metal process variation in SSTA. This novel method maximizes sensitivity cancellation to minimize variability. The developed methodology is simulated with SSTA in 65-nm technology and shows a reduction in variability.

Published in:

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  (Volume:31 ,  Issue: 8 )