Applications of Machine Learning Techniques to Systems

نویسندگان

  • Chi Ho Yue
  • Ilya Katsnelson
چکیده

Perceptrons is a simple neural network that works as an alternative to the commonly used two-bit counters branch history table (BHT) branch predictor. Perceptrons achieves increased accuracy than traditional BHT branch predictors because they can make use of longer branch histories, given the same hardware budget. Although having very similar organization to BHT branch predictors, Perceptrons’ hardware requirement scales linearly with the branch history length used, while BHT predictors’ increases exponentially.

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تاریخ انتشار 2003