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Application profiling is a popular technique to improve program performance based on its behavior. Offline profiling, although beneficial for several applications, fails in cases where prior program runs may not be feasible, or if changes in input cause the profile to not match the behavior of the actual program run. Managed languages, like Java and C#, provide a unique opportunity to overcome the drawbacks of offline profiling by generating the profile information online during the current program run. Indeed, online profiling is extensively used in current VMs, especially during selective compilation to improve program startup performance, as well as during other feedback-directed optimizations.
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