The Impact Analysis of Branch Prediction for the Performance of the Superscalar Pipeline

With the development of RSIC processor architecture, instruction-level parallelism has become a research focus. Branch prediction techniques is a key technology to solve control-related, and has an important impact on ILP. This paper analyzes the relationship between the superscalar pipeline performance and the factors of branch prediction techniques, and the deference of the relationship between superscalar pipeline and scalar pipeline, then gets some analytic functions expressing their relationship based on reasonable assumptions. Finally, this paper forms an in-depth impact analysis between the branch prediction parameters and the pipeline performance from different perspectives to provide a reference for the study of RSIC processor and branch prediction techniques, and these parameters include the accuracy of prediction, the proportion of branch instruction, the error moment, the program size, the pipeline depth and the instruction parallel issue width.