• Suppose we have two predictors, A and B • Suppose A works well for some applications (for example those like go with dynamic but highly- correlated branches) • Suppose B works well for highly biased branches • A is best for some programs, B is best for others • Idea: build a “selective” predictor to choose, for each branch, the predictor with the best track record to date • With care, we can guarantee to do better than A or B separately • At considerable expense!
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