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Improving Indirect Branch Prediction in Interpreters via Hardware/Software Co-Design
Interpreters have a large indirect-branch footprint, requiring large predictor capacity for accurate prediction. We propose a hardware/software co-design in which a hardware lookahead engine, running ahead of the pipeline with software-provided bytecode metadata, supplies interpreter dispatch target
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