Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/11135
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dc.contributor.advisorLea, RM-
dc.contributor.authorJones, Simon Richard-
dc.date.accessioned2015-07-10T14:22:36Z-
dc.date.available2015-07-10T14:22:36Z-
dc.date.issued1986-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/11135-
dc.descriptionThis thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.en_US
dc.description.abstractThis thesis investigates the potential of wafer-scale integration (WSI) for the implementation of low-cost fine-grain parallel processing computer systems. As WSI is a relatively new subject, there was little work on which to base investigations. Indeed, most WSI architectures existed only as untried and sometimes vague proposals. Accordingly, the research strategy approached this problem by identifying a representative WSI structure and architecture on which to base investigations. An analysis of architectural proposals identified associative memory to be general purpose parallel processing component used in a wide range of WSI architectures. Furthermore, this analysis provided a set of WSI-level design requirements to evaluate the sustainability of different architectures as research vehicles. The WSI-ASP (WASP) device, which has a large associative memory as its main component is shown to meet these requirements and hence was chosen as the research vehicle. Consequently, this thesis addresses WSI potential through an in-depth investigation into the feasibility of implementing a large associative memory for the WASP device that meets the demanding technological constraints of WSI. Overall, the thesis concludes that WSI offers significant potential for the implementation of low-cost fine-grain parallel processing computer systems. However, due to the dual constraints of thermal management and the area required for the power distribution network, power density is a major design constraint in WSI. Indeed, it is shown that WSI power densities need to be an order of magnitude lower than VLSI power densities. The thesis demonstrates that for associative memories at least, VLSI designs are unsuited to implementation in WSI. Rather, it is shown that WSI circuits must be closely matched to the operational environment to assure suitable power densities. These circuits are significantly larger than their VLSI equivalents. Nonetheless, the thesis demonstrates that by concentrating on the most power intensive circuits, it is possible to achieve acceptable power densities with only a modest increase in area overheads.en_US
dc.description.sponsorshipSERCen_US
dc.language.isoenen_US
dc.publisherBrunel Universityen_US
dc.subjectWafer-scale integration (WSI)en_US
dc.subjectFine-grain parallel processing computer systemsen_US
dc.subjectLarge associative memoryen_US
dc.subjectThermal managementen_US
dc.subjectSpecial purpose architecturesen_US
dc.subjectAssociative string processingen_US
dc.titleInvestigation into the wafer-scale integration of fine-grain parallel processing computer systemsen_US
dc.typeThesisen_US
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Electrical Engineering Theses

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