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

Yimu Ji (), Zizhuo Kuang (), Qiaoyu Pan (), Yanpeng Sun (), Jiangbang Kang () and Wei Huang ()
Additional contact information
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

A chapter in LISS 2013, 2015, pp 197-201 from Springer

Abstract: 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.

Keywords: CUDA; GPU; Cloud computing; Scientific computing (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_28

Ordering information: This item can be ordered from
http://www.springer.com/9783642406607

DOI: 10.1007/978-3-642-40660-7_28

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().