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We present a generic method for analyzing the effect of process variability in nanoscale circuits. The proposed framework uses kernel and a generic tail probability estimator to eliminate the need for a-priori density choice for the nature of circuit variation. This allows capturing the true nature of the circuit variation from a few random samples of its observed responses. The data-driven, non-parametric,...
In an SRAM array, the systematic inter-die and the random within-die variations in process parameters cause significant number of parametric failures, to degrade process yield in the nanometer technology regime. In this paper, we investigate the interaction between the inter-die and intra-die Vt variations on SRAM read and write failures. To improve robustness of SRAM cell, we propose a closed-loop...
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