The effect of profile choice and profile gathering methods on profile-driven optimization systems

This work examines the effectiveness of profile-driven optimization in two commercial-quality optimizers (Digital's GEM compiler and the link-time optimizer ‘alto’) and examines low-overhead profiling methods such as static estimation (estimating profiles using static heuristics) and statistical sampling.