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Branch transition rate: a new metric for improved branch classification analysis
Proceedings Sixth International Symposium on High-Performance Computer Architecture. HPCA-6 (Cat. No.PR00550)
Recent studies have shown significantly improved branch prediction through the use of branch classification. By separating static branches into groups, or classes, with similar dynamic behavior, predictors may be selected that are best suited for each class. Previous methods have classified branches according to taken rate (or bias). We propose a new metric for branch classification: branch transition rate, which is defined as the number of times a branch changes direction between taken and not
doi:10.1109/hpca.2000.824354
dblp:conf/hpca/HaungsSF00
fatcat:qz2vt46erre47e3k3tif7lj2qm