A global history predictor is a type of branch prediction mechanism that utilizes a global history of past branch outcomes to make predictions about future branches. This method leverages patterns across all branches to enhance prediction accuracy, allowing for more efficient instruction fetching and execution in processors. It relies on maintaining a history register that tracks the outcomes of recently executed branches, creating a more informed prediction model compared to local predictors which focus on individual branches.
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