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An ( m , n ) correlating branch predictor uses the behavior of the most recent m executed branches to choose from 2 m predictors,
An mn correlating branch predictor uses the behavior of the most recent m executed branches to choose from m predictors, each of which is an nbit predictor. A twolevel local predictor works in a similar fashion, but only keeps track of the past behavior of each individual branch to predict future behavior.
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