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- W2383045633 abstract "Accurate indirect jump prediction is critical for the performance and energy efficiency of modern high-performance processors.This paper proposes the Hybrid Value Correlation(HVC) based indirect jump prediction,which combines various types of correlated information to reduce indirect jump mispredictions.First of all,our mechanism relies on the compiler to identify the correlated data values based on high-level dataflow information.Second,our mechanism maintains two kinds of correlated information:the single data value and the value history.Our mechanism makes use of a low-cost hardware structure,which dynamically chooses the best correlated information for indirect jump prediction according to different processor states.Experimental results show that HVC prediction can significantly reduce the misprediction rate over the baseline-BTB prediction and the state-of-the-art VBBI prediction.The low misprediction rate of HVC prediction leads to better performance and lower power consumption over previous predictors." @default.
- W2383045633 created "2016-06-24" @default.
- W2383045633 creator A5044903522 @default.
- W2383045633 date "2012-01-01" @default.
- W2383045633 modified "2023-09-28" @default.
- W2383045633 title "A Hybrid Value Correlation Based Indirect Jump Prediction" @default.
- W2383045633 hasPublicationYear "2012" @default.
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