The Combined Perceptron Branch Predictor

Previous works have shown that neural branch prediction techniques achieve far lower misprediction rate than traditional approaches. We propose a neural predictor based on two perceptron networks: the Combined Perceptron Branch Predictor. The predictor consists of two concurrent perceptron-like neural networks; one using as inputs branch history information, the other one program counter bits. We carried out experiments proving that this approach provides lower misprediction rate than state-ofthe-art conventional and neural predictors.