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osu1308168930.pdf (2.92 MB)

ETD Abstract Container

Abstract Header

Data Parallel Application Development and Performance with Azure

Zhang, Dean
http://rave.ohiolink.edu/etdc/view?acc_num=osu1308168930

Abstract Details

2011, Master of Science, Ohio State University, Computer Science and Engineering.
The Microsoft Windows Azure technology platform provides on-demand, cloud-based computing, where the cloud is a set of interconnected computing resources located in one or more data centers. Recently, Windows Azure platform is available in data centers in most area of the world large cities. MPI is a message passing library standard, which has many participating organizations, including vendors, researchers, software library developers, and users. The goal of the Message Passing Interface is to establish a portable, efficient, and flexible standard for message passing that will be widely used parallel programs. The advantages of developing message passing software using are well known as its portability, efficiency, and flexibility. This thesis is about how to develop MPI like applications on Windows Azure Platform and simulate parallel computing in cloud. The specific goal is to simulate MPI_Reduce and MPI_Allreduce on Windows Azure, and use this simulation to support and build data parallel applications on windows Azure. We also compare the performances of three data parallel applications under three platforms which are traditional clusters, Azure with queue and Azure with WCF.
Gagan Agrawal (Advisor)
Feng Qin (Committee Member)
60 p.
Computer Science
MPI Cloud computing

Recommended Citations

Citations

  • Zhang, D. (2011). Data Parallel Application Development and Performance with Azure [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1308168930

    APA Style (7th edition)

  • Zhang, Dean. Data Parallel Application Development and Performance with Azure. 2011. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1308168930.

    MLA Style (8th edition)

  • Zhang, Dean. "Data Parallel Application Development and Performance with Azure." Master's thesis, Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1308168930

    Chicago Manual of Style (17th edition)

osu1308168930
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© 2011, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.