Compiling Parallel Matlab for General Distributions Using Telescoping Languages

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dc.contributor.authorFletcher, Maryen_US
dc.contributor.authorJin, Guohuaen_US
dc.contributor.authorKennedy, Kenen_US
dc.contributor.authorMcCosh, Cherylen_US
dc.date.accessioned2017-08-02T22:03:04Zen_US
dc.date.available2017-08-02T22:03:04Zen_US
dc.date.issued2006-10-31en_US
dc.date.noteOctober 31, 2006en_US
dc.description.abstractMatlab is one of the most popular computer languages for technical and scientific programming. However, until recently, it has been limited to running on uniprocessors. One strategy for overcoming this limitation is to introduce global distributed arrays, with those arrays distributed across the processors of a parallel machine. In this paper, we describe the compilation technology we have designed for Matlab D, a distributed-array extension of Matlab. Our approach is distinguished by a two-phase compilation technology with support for a rich collection of data distributions. By precompiling array operations and communication steps into Fortran plus MPI, the time to compile an application using those operations is significantly reduced. This paper includes preliminary results that demonstrate that this approach can dramatically improve performance, scaling well to at least 32 processors.en_US
dc.format.extent4 ppen_US
dc.identifier.citationFletcher, Mary, Jin, Guohua, Kennedy, Ken, et al.. "Compiling Parallel Matlab for General Distributions Using Telescoping Languages." (2006) https://hdl.handle.net/1911/96354.en_US
dc.identifier.digitalTR06-881en_US
dc.identifier.urihttps://hdl.handle.net/1911/96354en_US
dc.language.isoengen_US
dc.rightsYou 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).en_US
dc.titleCompiling Parallel Matlab for General Distributions Using Telescoping Languagesen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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