Abstract
An important component of virtual machines is the adaptive optimization system, which decides what methods to optimize and what compiler optimization set to enable. In this context, this paper presents the development of an auto-tuning adaptive optimization system (a strategy to find good compiler optimizations), in order to obtain the best possible performance; that is, the reduction of runtime. Such system was implemented over the Jikes Research Virtual Machine, and the results indicate that the proposal is capable of achieving 11% better average performance, at a cost of less than 10% of the total runtime.
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