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    OpenMP on Networks of Workstations

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    Author
    Lu, Honghui
    Date
    January 30, 2001
    Abstract
    The OpenMP Application Programming Interface (API) is an emerging standard for parallel programming on shared memory architectures. Networks of workstations (NOWs) are attractive parallel programming platforms because of their good price/performance ratio, as well as their and their potential to scale. This work is the first to extend the support for OpenMP to networks of workstations. The design is based on integrating the compiler and the run-time system. In the combined system, the run-time library remains the basic vehicle for implementing shared memory, while the compiler performs optimization rather than implementation. The integrated approach can effectively optimize irregular applications, for which an exact compile-time analysis is not possible. One optimization aggregates messages for irregular applications based on the data access information provided by the compiler. Another optimization improves the scalability of the system by computation replication and multicast. The integrated system also simplifies the run-time implementation. In the implementation of OpenMP on networks of shared-memory multiprocessors, the compile-time information greatly reduces the number of changes required to the run-time system in order to exploit the intra-node hardware shared memory. In another implementation that allows OpenMP programs to change the number of computing nodes during the execution, the OpenMP semantics provides convenient points for efficient adaptation.
    Description
    This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/18000
    Citation
    Lu, Honghui. "OpenMP on Networks of Workstations." (2001) https://hdl.handle.net/1911/96312.
    Type
    Technical report
    Citable link to this page
    https://hdl.handle.net/1911/96312
    Rights
    You are granted permission for the noncommercial reproduction, distribution, display, and performance of this technical report in any format, but this permission is only for a period of forty-five (45) days from the most recent time that you verified that this technical report is still available from the Computer Science Department of Rice University under terms that include this permission. All other rights are reserved by the author(s).
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    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map