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A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU98163" target="_blank" >RIV/00216305:26230/12:PU98163 - isvavai.cz</a>

  • Result on the web

    <a href="http://rd.springer.com/chapter/10.1007/978-3-642-29178-4_43" target="_blank" >http://rd.springer.com/chapter/10.1007/978-3-642-29178-4_43</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-29178-4_43" target="_blank" >10.1007/978-3-642-29178-4_43</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark

  • Original language description

    The paper introduces an optimized multicore CPU implementation of the genetic algorithm and compares its performance with a fine-tuned GPU version. The main goal is to show the true performance relation between modern CPUs and GPUs and eradicate some ofmyths surrounding GPU performance. It is essential for the evolutionary community to provide the same conditions and designer effort to both implementations when benchmarking CPUs and GPUs. Here we show the performance comparison supported by architecture characteristics narrowing the performance gain of GPUs.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F10%2F1517" target="_blank" >GAP103/10/1517: Natural Computing on Unconventional Platforms</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Lecture Notes in Computer Science

  • ISSN

    0302-9743

  • e-ISSN

  • Volume of the periodical

    2012

  • Issue of the periodical within the volume

    7248

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    10

  • Pages from-to

    426-435

  • UT code for WoS article

  • EID of the result in the Scopus database