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dc.contributor.advisorSaman Amarasinghe
dc.contributor.authorThies, William
dc.contributor.authorUrbanski, John Paul
dc.contributor.authorThorsen, Todd
dc.contributor.authorAmarasinghe, Saman
dc.contributor.otherComputer Architecture
dc.date.accessioned2006-05-05T19:42:11Z
dc.date.available2006-05-05T19:42:11Z
dc.date.issued2006-05-05
dc.identifier.otherMIT-CSAIL-TR-2006-034
dc.identifier.urihttp://hdl.handle.net/1721.1/32543
dc.description.abstractMicrofluidic devices are emerging as an attractive technology for automatically orchestrating the reactions needed in a biological computer. Thousands of microfluidic primitives have already been integrated on a single chip, and recent trends indicate that the hardware complexity is increasing at rates comparable to Moore's Law. As in the case of silicon, it will be critical to develop abstraction layers--such as programming languages and Instruction Set Architectures (ISAs)--that decouple software development from changes in the underlying device technology.Towards this end, this paper presents BioStream, a portable language for describing biology protocols, and the Fluidic ISA, a stable interface for microfluidic chip designers. A novel algorithm translates microfluidic mixing operations from the BioStream layer to the Fluidic ISA. To demonstrate the benefits of these abstraction layers, we build two microfluidic chips that can both execute BioStream code despite significant differences at the device level. We consider this to be an important step towards building scalable biocomputers.
dc.format.extent14 p.
dc.format.extent6101702 bytes
dc.format.extent453129 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesMassachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory
dc.subjectbiological computing
dc.subjectDNA computing
dc.subjectmicrofluidics
dc.titleAbstraction Layers for Scalable Microfluidic Biocomputers (Extended Version)


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