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dc.contributor.authorChen, Ying
dc.contributor.authorTan, Suan Fong
dc.date.accessioned2003-12-13T19:30:25Z
dc.date.available2003-12-13T19:30:25Z
dc.date.issued2004-01
dc.identifier.urihttp://hdl.handle.net/1721.1/3863
dc.description.abstractThis paper describes the design and implementation of MATLAB*G, a parallel MATLAB on the ALiCE Grid. ALiCE (Adaptive and scaLable internet-based Computing Engine), developed at NUS, is a lightweight grid-computing middleware. Grid applications in ALiCE are written in Java and use the distributed shared memory programming model. Utilizing existing MATLAB functions, MATLAB*G provides distributed matrix computation to the user through a set of simple commands. Currently two forms of parallelism for distributed matrix computation are implemented: task parallelism and job parallelism. Experiments are carried out to investigate the performance of MATLAB*G on each type of parallelism. Results indicate that for large matrix sizes MATLAB*G can be a faster alternative to sequential MATLAB.en
dc.description.sponsorshipSingapore-MIT Alliance (SMA)en
dc.format.extent89158 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesComputer Science (CS);
dc.subjectMATLABen
dc.subjectDSMen
dc.subjectGriden
dc.titleMATLAB*G: A Grid-Based Parallel MATLABen
dc.typeArticleen


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