Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6669
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dc.creatorNagpal, Radhika-
dc.creatorCoore, Daniel-
dc.date2004-10-08T20:37:02Z-
dc.date2004-10-08T20:37:02Z-
dc.date1998-02-01-
dc.date.accessioned2013-10-09T02:46:24Z-
dc.date.available2013-10-09T02:46:24Z-
dc.date.issued2013-10-09-
dc.identifierAIM-1626-
dc.identifierhttp://hdl.handle.net/1721.1/6669-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionAmorphous computing is the study of programming ultra-scale computing environments of smart sensors and actuators cite{white-paper}. The individual elements are identical, asynchronous, randomly placed, embedded and communicate locally via wireless broadcast. Aggregating the processors into groups is a useful paradigm for programming an amorphous computer because groups can be used for specialization, increased robustness, and efficient resource allocation. This paper presents a new algorithm, called the clubs algorithm, for efficiently aggregating processors into groups in an amorphous computer, in time proportional to the local density of processors. The clubs algorithm is well-suited to the unique characteristics of an amorphous computer. In addition, the algorithm derives two properties from the physical embedding of the amorphous computer: an upper bound on the number of groups formed and a constant upper bound on the density of groups. The clubs algorithm can also be extended to find the maximal independent set (MIS) and $Delta + 1$ vertex coloring in an amorphous computer in $O(log N)$ rounds, where $N$ is the total number of elements and $Delta$ is the maximum degree.-
dc.format2177371 bytes-
dc.format452206 bytes-
dc.formatapplication/postscript-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAIM-1626-
dc.titleAn Algorithm for Group Formation and Maximal Independent Set in an Amorphous Computer-
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