IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v9y2013i9p281707.html
   My bibliography  Save this article

Distributional Fractal Creating Algorithm in Parallel Environment

Author

Listed:
  • Shuai Liu
  • Weina Fu
  • Huimin Deng
  • Caihe Lan
  • Jiantao Zhou

Abstract

Nowadays, the fractal is used widely everywhere. Then, its creating time becomes an important study area for complex iteration functions because the escape-time algorithm (ETA), which is the most used algorithm in fractal creating, performs not so well in this condition. In this paper, in order to solve this problem, we improve ETA into the parallel environment and reach well performance. At first, we provide a separation method of ETA to reform it into a SIMC-MC2 grid. Secondly, we prove its correctness and compute the complexity of this novel parallel algorithm. Meantime, we separate an improved ETA which we have presented into the same parallel environment and compute its complexity. Additionally, theoretical and experimental results show the characteristics of this novel algorithm. Finally, the computational result shows that a novel environment is needed to decrease large manual allocation strategies, which block the improved benefit.

Suggested Citation

  • Shuai Liu & Weina Fu & Huimin Deng & Caihe Lan & Jiantao Zhou, 2013. "Distributional Fractal Creating Algorithm in Parallel Environment," International Journal of Distributed Sensor Networks, , vol. 9(9), pages 281707-2817, September.
  • Handle: RePEc:sae:intdis:v:9:y:2013:i:9:p:281707
    DOI: 10.1155/2013/281707
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2013/281707
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2013/281707?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:9:y:2013:i:9:p:281707. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.