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Dynamic branch prediction in high-performance processors is a specific instance of a general time series prediction problem that occurs in many areas of science. Most branch prediction research focuses on two-level adaptive branch prediction techniques, a very specific solution to the branch prediction problem. An alternative approach is to look to other(More)
Dynamic branch predictors account for between 10% and 40% of a processor's dynamic power consumption. This power cost is proportional to the number of accesses made to that dynamic predictor during a program's execution. In this paper we propose the combined use of local delay region scheduling and profiling with an original adaptive branch bias(More)
Dynamic branch predictor logic alone accounts for approximately 10% of total processor power dissipation. Recent research indicates that the power cost of a large dynamic branch predictor is offset by the power savings created by its increased accuracy. We describe a method of reducing dynamic predictor power dissipation without degrading prediction(More)
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