资源说明:Many compilers rely on branch prediction to improve program
performance by identifying frequently executed regions and by
aiding in scheduling instructions. Profile-based predictors require
a time-consuming and inconvenient compile-profile-compile cycle
in order to make predictions. We present a program-based branch
predictor that performs well for a large and diverse set of programs
written in C and Fortran. In addition to using natural loop analysis
to predict branches that control the iteration of loops, we focus on
heuristics for predicting non-loop branches, which dominate the
dynamic branch count of many programs. The heuristics are simple
and require little program analysis, yet they are effective in
terms of coverage and miss rate. Although program-based prediction
does not equal the accuracy of profile-based prediction, we
believe it reaches a sufficiently high level to be useful. Additional
type and semantic information available to a compiler would
enhance our heuristics.
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