A simple yet accurate neural branch predictor.

Abstract

In this paper, we examine the application of simple neural processing elements to the problem of dynamic branch prediction in high-performance processors. A single neural network model is considered: the Perceptron. We demonstrate that a predictor based on the Perceptron can achieve a prediction accuracy in excess of that given by conventional Two-level Adaptive Predictors and suggest that neural predictors merit further investigation.