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Michael Black

Applying Perceptrons to Speculation in Computer Architecture

Neural Networks in Future Microprocessors

Buch

Revision with unchanged content. Modern microprocessors make use of speculation, or predictions about future program behavior, to optimize the execution of programs. Perceptrons are simple neural networks that can be highly useful in speculation for their ability to examine larger quantities of available data than more commonly used approaches, and identify which data lead to accurate results. This work first studies how perceptrons can be made to predict accurately when they directly replace the traditional pattern table predictor. Different training me­thods, perceptron topologies, and interference reduction strategies are evaluated. Perce… Mehr

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Produktdetails


  • ISBN: 978-3-639-41699-2
  • EAN: 9783639416992
  • Produktnummer: 36361558
  • Verlag: AV Akademikerverlag
  • Sprache: Englisch
  • Erscheinungsjahr: 2012
  • Seitenangabe: 256 S.
  • Masse: H22.0 cm x B15.0 cm x D1.5 cm 399 g
  • Abbildungen: Paperback
  • Gewicht: 399

Über den Autor


earned his Ph.D. in Electrical Engineering at the University of Maryland, College Park. He is currently an Assistant Professor of Computer Science at American University.

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