Design tradeoffs for the Alpha EV8 conditional branch predictor
ISCA '02 Proceedings of the 29th annual international symposium on Computer architecture
Neural methods for dynamic branch prediction
ACM Transactions on Computer Systems (TOCS)
Dynamic Branch Prediction with Perceptrons
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
Fast Path-Based Neural Branch Prediction
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Two-level branch prediction using neural networks
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Synthesis and verification
Prophet/Critic Hybrid Branch Prediction
Proceedings of the 31st annual international symposium on Computer architecture
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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 using program counter bits. We carried out experiments proving that this approach provides lower misprediction rate than state-of-the-art conventional and neural predictors. In particular, when compared with an advanced path-based perceptron predictor, it features 12% improvement of the prediction accuracy.