(3pts) Assume that a given static branch has a repeating pattern of TTTN. Going from a 1-bit bimodal predictor to a 2-bit bimodal predictor increases prediction accuracy by 25% (steady state). What are the gains for this pattern from using a 3-bit bimodal predictor? What common feature of all three prediction schemes described by 2-level branch predictors (like those described by Yeh & Patt) is fundamental in achieving higher accuracy for the above scenario with their predictors than with a bimodal predictor? (3pts) Assume that a given static branch has a repeating pattern of TTTN. Going from a 1-bit bimodal predictor to a 2-bit bimodal predictor increases prediction accuracy by 25% (steady state). What are the gains for this pattern from using a 3-bit bimodal predictor? What common feature of all three prediction schemes described by 2-level branch predictors (like those described by Yeh & Patt) is fundamental in achieving higher accuracy for the above scenario with their predictors than with a bimodal predictor