WestminsterResearch

Implementation of a block based neural branch predictor

Cadenas, Oswaldo and Megson, Graham M. and Jones, David J. (2005) Implementation of a block based neural branch predictor. In: 8th Euromicro Conference on Digital System Design: proceedings. IEEE, pp. 235-238. ISBN 0769524338

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Official URL: http://dx.doi.org/10.1109/DSD.2005.49

Abstract

This paper contributes to a dynamic branch predictor algorithm based on a perceptron in two directions: Firstly, a new block form of computation is introduced that reduces theoretically by half the combinational critical path for computing a prediction. Secondly, implementation in FPGA hardware is fully developed for quantitative comparison purposes. FPGA circuits for a one-cycle block predictor produces 1.7 faster clock rates than a direct implementation of the original perceptron predictor. This faster clock allows to realize predictions with longer history lengths for the same hardware budget.

Item Type:Book Section
Uncontrolled Keywords:Combinational circuits, field programmable gate arrays, perceptrons, FPGA hardware, block based neural branch predictor, dynamic branch predictor algorithm, perceptron predictor
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:5719
Deposited On:27 Jan 2009 15:28
Last Modified:19 Oct 2009 14:15

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