COBRA: A Framework for Evaluating Compositions of Hardware Branch Predictors
2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)(2021)
摘要
We present COBRA, a framework which enables a realistic hardware-guided methodology for evaluating compositions of hardware branch predictors. COBRA provides a common interface for developing RTL implementations of predictor subcomponents, as well as a predictor composer that automatically generates hardware predictor pipelines from sub-components based on a high-level topological model of a desir...
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关键词
Out of order,Pipelines,Computer architecture,Predictive models,Prediction algorithms,Hardware,Generators
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