IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-40660-7_28.html
   My bibliography  Save this book chapter

Design and Development of Scientific Computing-Oriented Cloud Service Based on CUDA

In: Liss 2013

Author

Listed:
  • Yimu Ji

    (Nanjing University of Posts and Telecommunication)

  • Zizhuo Kuang

    (Nanjing University of Posts and Telecommunication)

  • Qiaoyu Pan

    (Nanjing University of Posts and Telecommunication)

  • Yanpeng Sun

    (Nanjing University of Posts and Telecommunication)

  • Jiangbang Kang

    (Nanjing University of Posts and Telecommunication)

  • Wei Huang

    (Nanjing University of Posts and Telecommunication)

Abstract

The GPGPU (general purpose graphics processing units) has become a whole new area for research due to the fast development of GPU hardware and the programming tools such as CUDA (compute unified device architecture). Here, we have made a research on CUDA and its applications. In this paper, we clarify the architecture and characters of CUDA, together with the differences of programming between CUDA and CPU. The advantages of CUDA in some application fields are also revealed to provide new methods and thoughts for further study. Meanwhile, the rise of cloud computing provides another choice for the scientists and engineers. Consequently we analyze the current situation of scientific computing cloud and develop the architecture of cloud service on the basis of CUDA. At last, an optimistic outlook is given for the use of GPU in scientific computing area.

Suggested Citation

  • Yimu Ji & Zizhuo Kuang & Qiaoyu Pan & Yanpeng Sun & Jiangbang Kang & Wei Huang, 2015. "Design and Development of Scientific Computing-Oriented Cloud Service Based on CUDA," Springer Books, in: Runtong Zhang & Zhenji Zhang & Kecheng Liu & Juliang Zhang (ed.), Liss 2013, pages 197-201, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-40660-7_28
    DOI: 10.1007/978-3-642-40660-7_28
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-642-40660-7_28. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.