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Variation Modeling Solutions in MBP

Question asked by kaelly_farnham Employee on May 21, 2013
Principal Component Analysis (PCA) is widely used in variation modeling. MBP 2013.01 integrates PCA capabilities internally and enables the complete PCA-based variation model automated extraction flow with NMOS and PMOS correlation support. The stage-by-stage flow implementation allows users the flexibility to fine tune each step of the extraction flow. MBP also includes the support of backward propagation of variance (BPV)-based modeling methodology. Registered users can learn more  here .