dc.contributor.author | Chen, Ying | |
dc.contributor.author | Tan, Suan Fong | |
dc.date.accessioned | 2003-12-13T19:30:25Z | |
dc.date.available | 2003-12-13T19:30:25Z | |
dc.date.issued | 2004-01 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/3863 | |
dc.description.abstract | This 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.sponsorship | Singapore-MIT Alliance (SMA) | en |
dc.format.extent | 89158 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.relation.ispartofseries | Computer Science (CS); | |
dc.subject | MATLAB | en |
dc.subject | DSM | en |
dc.subject | Grid | en |
dc.title | MATLAB*G: A Grid-Based Parallel MATLAB | en |
dc.type | Article | en |