Local history prediction is a dynamic branch prediction technique that uses the historical behavior of recently executed branches to make predictions about the outcome of future branches. This method focuses on the immediate past behavior of a branch instruction, storing its outcomes to inform future predictions, which can significantly enhance the accuracy of branch predictions in a CPU. By leveraging local patterns in branch behavior, this approach can improve performance by reducing pipeline stalls and enhancing instruction flow.
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