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• W2140217284 abstract "In traditional Dynamic binary translation (DBT) systems, poor profile information at runtime limits the manner of optimization. Combining dynamic binary translation with static analysis brings an opportunity to improve the runtime performance. Once the source image has been executed, the profile information and target code will be saved, which are available at next runs. Moreover, optimizations will be implemented during static analysis phase. This approach reduces the overhead of optimizing, profiling and translating on condition that the program runs repeatedly. In this paper, we accomplish to construct this framework (Sinof) and gain5% performance benefits in average without completing static optimizations." @default.
• W2140217284 created "2016-06-24" @default.
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• W2140217284 date "2009-07-01" @default.
• W2140217284 modified "2023-09-25" @default.
• W2140217284 title "The Implementation of Static-Integrated Optimization Framework for Dynamic Binary Translation" @default.
• W2140217284 cites W1977006081 @default.
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• W2140217284 doi "https://doi.org/10.1109/itcs.2009.111" @default.
• W2140217284 hasPublicationYear "2009" @default.
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