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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/3863Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Chen, Ying | - |
| dc.creator | Tan, Suan Fong | - |
| dc.date | 2003-12-13T19:30:25Z | - |
| dc.date | 2003-12-13T19:30:25Z | - |
| dc.date | 2004-01 | - |
| dc.date.accessioned | 2013-10-09T02:32:52Z | - |
| dc.date.available | 2013-10-09T02:32:52Z | - |
| dc.date.issued | 2013-10-09 | - |
| dc.identifier | http://hdl.handle.net/1721.1/3863 | - |
| dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | - |
| dc.description | 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. | - |
| dc.description | Singapore-MIT Alliance (SMA) | - |
| dc.format | 89158 bytes | - |
| dc.format | application/pdf | - |
| dc.language | en_US | - |
| dc.relation | Computer Science (CS); | - |
| dc.subject | MATLAB | - |
| dc.subject | DSM | - |
| dc.subject | Grid | - |
| dc.title | MATLAB*G: A Grid-Based Parallel MATLAB | - |
| dc.type | Article | - |
| Appears in Collections: | MIT Items | |
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