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Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5941
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dc.creatorBlumberg, Andrew Justin-
dc.date2004-10-04T14:15:45Z-
dc.date2004-10-04T14:15:45Z-
dc.date1996-12-01-
dc.date.accessioned2013-10-09T02:42:04Z-
dc.date.available2013-10-09T02:42:04Z-
dc.date.issued2013-10-09-
dc.identifierAIM-1589-
dc.identifierhttp://hdl.handle.net/1721.1/5941-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionIn this paper I describe and extend a new DNA computing paradigm introduced in Blumberg for building massively parallel machines in the DNA-computing models described by Adelman, Cai et. al., and Liu et. al. Employing only DNA operations which have been reported as successfully performed, I present an implementation of a Connection Machine, a SIMD (single-instruction multiple-data) parallel computer as an illustration of how to apply this approach to building computers in this domain (and as an implicit demonstration of PRAM equivalence). This is followed with a description of how to implement a MIMD (multiple-instruction multiple-data) parallel machine. The implementations described herein differ most from existing models in that they employ explicit communication between processing elements (and hence strands of DNA).-
dc.format16 p.-
dc.format398560 bytes-
dc.format223460 bytes-
dc.formatapplication/postscript-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAIM-1589-
dc.subjectAI-
dc.subjectMIT-
dc.subjectArtificial Intelligence-
dc.subjectDNA Computing-
dc.subjectParallel Architecture-
dc.titleGeneral Purpose Parallel Computation on a DNA Substrate-
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