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    Improving Performance with Integrated Program Transformations

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    Author
    Jin, Guohua; Mellor-Crummey, John; Qasem, Apan
    Date
    September 9, 2004
    Abstract
    Achieving a high fraction of peak performance on today’s computer systems is difficult for complex scientific applications. To do so, an application’s characteristics must be tailored to exploit the characteristics of its target architecture. Today, commercial compilers do not adequately tailor programs automatically; thus, application scientists must settle for lackluster performance or manually transform their codes into a form that is complex and unmaintainable. In this paper, we describe a prototype source-to-source transformation tool that enables application scientists to achieve high performance for scientific codes without changing their natural coding style. Our tool supports a rich, integrated collection of optimizing transformations and provides users with precise control over how these optimizations should be applied. In preliminary experiments with the Runga-Kutta advection core from the NCOMMAS code for mesoscale weather modeling and Livermore Loop 18, we have used our tool to double single-processor performance.
    Citation
    Jin, Guohua, Mellor-Crummey, John and Qasem, Apan. "Improving Performance with Integrated Program Transformations." (2004) https://hdl.handle.net/1911/96316.
    Type
    Technical report
    Citable link to this page
    https://hdl.handle.net/1911/96316
    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