Improved Next-Block Predictor Based on O-GEHL for EDGE Architectures
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Graphical Abstract
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Abstract
Next-block predictors enable high efficiency control-flow speculation of EDGE architecture. This paper analyzes defects of next-block predictor based on O-GEHL prediction technology, and proposes two improvements: the exit prediction without chooser and the exit prediction with binary O-GEHL prediction. Performance evaluation results show that: the one without chooser in the exit prediction stage outperforms previously published one by 0.7%; the one using 8 conditional O-GEHL predictor improves the performance by 3% with the largest resource; the one using 4 conditional O-GEHL predictor only for the first 4 exits improves the performance by 2%.
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