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dc.contributor.authorJin, Guohua
Mellor-Crummey, John
Qasem, Apan
dc.date.accessioned 2017-08-02T22:03:00Z
dc.date.available 2017-08-02T22:03:00Z
dc.date.issued 2004-09-09
dc.identifier.urihttps://hdl.handle.net/1911/96316
dc.description.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.
dc.format.extent 13 pp
dc.language.iso eng
dc.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).
dc.title Improving Performance with Integrated Program Transformations
dc.type Technical report
dc.date.note September 9, 2004
dc.identifier.digital TR03-419
dc.type.dcmi Text
dc.identifier.citation Jin, Guohua, Mellor-Crummey, John and Qasem, Apan. "Improving Performance with Integrated Program Transformations." (2004) https://hdl.handle.net/1911/96316.


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