Creating artificial global history to improve branch prediction accuracy

摘要

Modern processors require highly accurate branch prediction for good performance. As such, a number of branch predictors have been proposed with varying size and complexity. This work identifies techniques to improve the accuracy of most predictors. It is especially effective with smaller, simpler predictors, allowing those predictors to be competitive with more expensive and complex variants.