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        A simple yet accurate neural branch predictor.

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        900875.pdf (PDF, 118Kb)
        Author
        Hunt, S.
        Egan, C.
        Shafarenko, A.
        Attention
        2299/784
        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.
        Publication date
        2003
        Other links
        http://hdl.handle.net/2299/784
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