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Computing the similarity of profiling data : heuristics for guiding adaptive compilation
Abstract
We present a technique to measure and detect changes in the behavioral patterns of applications. In a continually dynamically optimizing system, such information is useful not only to decide which program parts to optimize, but also which previously optimized program parts to re-optimize. This leads to a system that is better tailored towards users' needs than statically optimized systems.
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