| 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 |
|