Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/39361
| DC Field | Value | |
|---|---|---|
| dc.title | On grid programming and MATLABG | |
| dc.contributor.author | Teo, Y.-M. | |
| dc.contributor.author | Chen, Y. | |
| dc.contributor.author | Wang, X. | |
| dc.date.accessioned | 2013-07-04T07:39:55Z | |
| dc.date.available | 2013-07-04T07:39:55Z | |
| dc.date.issued | 2004 | |
| dc.identifier.citation | Teo, Y.-M.,Chen, Y.,Wang, X. (2004). On grid programming and MATLABG. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3251 : 761-768. ScholarBank@NUS Repository. | |
| dc.identifier.issn | 03029743 | |
| dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/39361 | |
| dc.description.abstract | This paper discusses the design and implementation of ALiCE object-oriented grid programming template (AOPT). The programming template provides a distributed shared-memory programming abstraction based on JavaSpaces that frees the grid application developer from the intricacies of the underlying grid system. AOPT is designed for developing grid applications and as a programming tool for grid-enabling domain specific software applications such as MATLAB. In this paper, we discuss the design and implementation of MATLABG, a grid-enabled MATLAB using AOPT. The performance results indicate that for large matrix sizes MATLABG can be a faster alternative to sequential MATLAB. © Springer-Verlag 2004. | |
| dc.source | Scopus | |
| dc.type | Article | |
| dc.contributor.department | COMPUTER SCIENCE | |
| dc.description.sourcetitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
| dc.description.volume | 3251 | |
| dc.description.page | 761-768 | |
| dc.identifier.isiut | NOT_IN_WOS | |
| Appears in Collections: | Staff Publications | |
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