Murthy, V. K. ; Krishnamurthy, E. V. (1994) Probabilistic concurrent programming using multiset transactions Proceedings of TENCON '94: IEEE Region 10's Ninth Annual International Conference on Theme: Frontiers of Computer Technology, 2 . 713 - 717.
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Official URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arn...
Related URL: http://dx.doi.org/10.1109/TENCON.1994.369141
Abstract
The GAMMA parallel programming model, based on the multiset data structure and a succession of chemical reactions consuming the elements of the multiset and producing new elements according to specific rules, is a very useful new paradigm. This paper extends GAMMA model to its probabilistic version called P-GAMMA model. The P-GAMMA model can realise probabilistic, classifier, bucket-brigade, and genetic algorithms. We also describe how concurrency in GAMMA paradigm can be supported using transaction processing facilities provided with multilevel atomicity, consistency, isolation and durability features.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Proceedings of TENCON '94: IEEE Region 10's Ninth Annual International Conference on Theme: Frontiers of Computer Technology. |
| ID Code: | 85941 |
| Deposited On: | 06 Mar 2012 13:55 |
| Last Modified: | 06 Mar 2012 13:55 |
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