Abstract:Modern processors fetch and execute instructions speculatively based on the outcome of branch prediction for decreasing effect of control hazards. Many branch predictors are proposed in literature to increase accuracy of the branch prediction. Some ones use machine learning technique for improving accuracy of predicting conditional branches. In this paper, we investigate this issue by evaluating different branch predictors through using a well-designed set of correlation patterns. We built a framework for test… Show more
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