Autocorrelation analysis: a new and improved method for measuring branch predictability

Branch taken rate and transition rate have been proposed as metrics to characterize the branch predictability. However, these two metrics may misclassify branches with regular history patterns as hard-to-predict branches, causing an inaccurate and ...

Branch predictability characterization not only helps to improve branch prediction but also helps to optimize predicated execution. Branch taken rate and branch transition rate have been proposed to characterize the branch predictability. However, these ...

This paper explores the classification of metric types using different feature representations. Using weighted timepoint, DFT, and autocorrelation, we train feedforward neural networks to distinguish allemandes, courantes, sarabandes, and gavottes ...