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Branch Predictor On-line Evolutionary System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F08%3APU76749" target="_blank" >RIV/00216305:26230/08:PU76749 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Branch Predictor On-line Evolutionary System

  • Original language description

    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 systempredicts with a relative high accuracy and outperforms any static predictor of the same class.<br><br>

  • Czech name

    Systém predikce skoků založený na evoluci v reálném čase

  • Czech description

    Tento článek se zabývá predikováním větvení kódu v procesorech. K tomu účelu využívá evoluční algoritmus běžící v reálném čase, který dokáže adaptovat stávající prediktory na měnící se vlastosti spouštěného programu.<br>

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F07%2F0850" target="_blank" >GA102/07/0850: Design and hardware implementation of a patent-invention machine</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2008 Genetic and Evolutionary Computational Conference GECCO

  • ISBN

    978-1-60558-131-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    New York

  • Event location

    Atlanta

  • Event date

    Jul 12, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article