Applying Perceptrons to Speculation in Computer Architecture

Language: English

Published by AV Akademikerverlag Mai 2012, 2012

3639416996 / 9783639416992

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This item is printed on demand - Print on Demand Titel. Neuware -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. Perceptrons are then applied to two speculative applications: data value prediction and dataflow critical path prediction. Several novel perceptron-based prediction strategies are proposed for each application that can take advantage of a wider scope of past data in making predictions than previous predictors could. These predictors are evaluated against local table-based approaches on a custom cycle-accurate processor simulator, and are shown on average to have both superior accuracy and higher instruction-per-cycle performance. This work is addressed to computer architects and computer engineering researchers.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 256 pp. Englisch.

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Title
Applying Perceptrons to Speculation in Computer Architecture
Author
Michael Black
Publisher
AV Akademikerverlag Mai 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3639416996
ISBN 13
9783639416992
Item weight
399 grams
Dimensions
220x150x16 mm

buchversandmimpf2000

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