Title
A New Organization for a Perceptron-Based Branch Predictor and Its FPGA Implementation
Abstract
An unaltered rearrangement of the original computation of a neural based predictor at the algorithmic level is introduced as a new organization. Its FPGA implementation generates circuits that are 1.7 faster than a direct implementation of the original algorithm. This faster clock rate allows to implement predictors with longer history lengths using the nearly the same hardware budget.
Year
DOI
Venue
2005
10.1109/ISVLSI.2005.11
ISVLSI
Keywords
Field
DocType
original computation,hardware budget,fpga implementation,perceptron-based branch predictor,algorithmic level,new organization,direct implementation,unaltered rearrangement,faster clock rate,longer history length,original algorithm,modeling,prediction algorithms,accuracy,fpga,circuits,hardware,history,field programmable gate arrays
Computer science,Parallel computing,Field-programmable gate array,Electronic circuit,Perceptron,Clock rate,Branch predictor,Computation
Conference
ISSN
ISBN
Citations 
2159-3477
0-7695-2365-X
2
PageRank 
References 
Authors
0.43
2
3
Name
Order
Citations
PageRank
Oswaldo Cadenas1145.38
Graham Megson2134.03
Daniel Jones320.43