Alloyed Branch History: Combining Global and Local Branch History for Robust Performance

Zhijian Lu, John Lach, Mircea Stan & Kevin Skadron
This paper introduces “alloyed” prediction, a new two-level predictor organization that combines global and local history in the same structure, combining the advantages of two-level predictors and hybrid predictors. The alloyed organization is motivated by measurements showing that “wrong-history mispredictions” are even more important than conflict-induced mispredictions. Wrong-history mispredictions arise because current two-level, history-based predictors provide only global or only local history. The contribution of wrong-history to the overall misprediction rate is substantial because most...
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