S.P.Hunt, C.Egan, A.Shafarenko Department of Computer Science, University of...  Home/Search
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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. (Update)
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BibTeX entry: (Update)
@misc{ shafarenko-simple,
author = "Hunt Egan Shafarenko",
title = "A Simple Yet Accurate Neural Branch Predictor",
url = "citeseer.ist.psu.edu/677814.html" }
Citations (may not include all citations):1575 Computer Architecture: A Quantitative Approach 2nd ed (context) - Hennessy, Patterson - 1996
704 Neural Networks: A Comprehensive Foundation (context) - Haykin - 1994
35 Evidence-based Static Branch Prediction using Machine Learni.. - Calder - 1997
15 Corpus-based Static Branch Prediction - Calder - 1995
10 New York: Spartan (context) - Rosenblatt - 1962
9 Understanding Branches and Designing Branch Predictors for H.. (context) - Evers, Yeh - 2001
4 Hardware and software mechanisms for instruction fetch predi.. (context) - Calder - 1995
2 Neural Methods for Dynamic Branch Prediction (context) - Jimnez, Lin - 2002
2 Dynamic branch prediction using neural networks (context) - Steven - 2001
1 Time Series Prediction and Neural Networks - Frank, Davey et al.
1 A Superscalar Architecture to Exploit Instruction Level Para.. (context) - Steven - 1997
1 Artificial neural networks for branch prediction (context) - Dazsi, Enbody - 2001
1 Dynamic Branch Prediction in High Performance Superscalar Pr.. (context) - Egan - 2000
1 Electrical Engineering and Computer Science Department (context) - Mudge, Chen et al. - 1996
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