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Publication detail
SLANÝ, K.
Original Title
Branch Predictor On-line Evolutionary System
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
In this work a branch prediction system which utilizes evolutionary techniques is introduced. It allows the predictor to adapt to the executed code and thus to improve its performance on the fly. Experiments with the predictor system were performed and the results display how various parameters can impact its performance on various executed code. It is evident that a one-level predictor can be evolved whose performance is better than comparable predictors of the same class. The dynamic prediction system predicts with a relative high accuracy and outperforms any static predictor of the same class.
Keywords
branch prediction, finite automata predictors
Authors
RIV year
2008
Released
16. 7. 2008
Publisher
Association for Computing Machinery
Location
New York
ISBN
978-1-60558-131-6
Book
2008 Genetic and Evolutionary Computation Conference GECCO
Pages from
1643
Pages to
1648
Pages count
6
URL
https://www.fit.vut.cz/research/publication/8666/
BibTex
@inproceedings{BUT32061, author="Karel {Slaný}", title="Branch Predictor On-line Evolutionary System", booktitle="2008 Genetic and Evolutionary Computation Conference GECCO", year="2008", pages="1643--1648", publisher="Association for Computing Machinery", address="New York", isbn="978-1-60558-131-6", url="https://www.fit.vut.cz/research/publication/8666/" }