Publication detail

Branch Predictor On-line Evolutionary System

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

SLANÝ, K.

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/"
}

Documents

p1643.pdf