• Login
    View Item 
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Beyond Explicit Transfers: Shared and Managed Memory in OpenMP

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    IWOMP2021.pdf
    Embargo:
    2022-09-08
    Size:
    205.4Kb
    Format:
    PDF
    Description:
    Final Accepted Manuscript
    Download
    Author
    Neth, Brandon
    Scogland, Thomas R. W.
    Duran, Alejandro
    de Supinski, Bronis R.
    Affiliation
    University of Arizona
    Issue Date
    2021-09-08
    
    Metadata
    Show full item record
    Publisher
    Springer International Publishing
    Citation
    Neth, B., Scogland, T. R., Duran, A., & de Supinski, B. R. (2021, September). Beyond Explicit Transfers: Shared and Managed Memory in OpenMP. In International Workshop on OpenMP (pp. 183-194). Springer, Cham.
    Journal
    Proceedings of the 17th International Workshop on OpenMP
    Rights
    © Springer Nature Switzerland AG 2021
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    OpenMP began supporting offloading in version 4.0, almost 10 years ago. It introduced the programming model for offload to GPUs or other accelerators that was common at the time, requiring users to explicitly transfer data between host and devices. But advances in heterogeneous computing and programming systems have created a new environment. No longer are programmers required to manage tracking and moving their data on their own. Now, for those who want it, inter-device address mapping and other runtime systems push these data management tasks behind a veil of abstraction. In the context of this progress, OpenMP offloading support shows signs of its age. However, because of its ubiquity as a standard for portable, parallel code, OpenMP is well positioned to provide a similar standard for heterogeneous programming. Towards this goal, we review the features available in other programming systems and argue that OpenMP expand its offloading support to better meet the expectations of modern programmers. The first step, detailed here, augments OpenMP’s existing memory space abstraction with device awareness and a concept of shared and managed memory. Thus, users can allocate memory accessible to different combinations of devices that do not require explicit memory transfers. We show the potential performance impact of this feature and discuss the possible downsides.
    Note
    12 month embargo; first online: 08 September 2021
    ISSN
    0302-9743
    EISSN
    1611-3349
    DOI
    10.1007/978-3-030-85262-7_13
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-030-85262-7_13
    Scopus Count
    Collections
    UA Faculty Publications

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.