Optimal configuration of a parallel embedded system for synthetic aperture radar processing

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dc.creatorMuehring, Jeffrey T
dc.date.accessioned2016-11-14T23:11:20Z
dc.date.available2011-02-19T01:04:56Z
dc.date.available2016-11-14T23:11:20Z
dc.date.issued1997-12
dc.degree.departmentComputer Scienceen_US
dc.description.abstractEmbedded systems often must adhere to strict size, weight and power (SWAP) constraints and yet provide tremendous computational throughput. Increasing the difficulty of this challenge, there is a trend to utilize commercial-off-the-shelf (COTS) components in the design of such systems to reduce both total cost and time to market. Employment of COTS components also promotes standardization and permits a more generalized approach to system evaluation and design than do systems designed at the application-specific-integrated-circuit (ASIC) level. The computationally intensive application of synthetic aperture radar (SAR) is by nature a high-performance embedded application that lends itself to parallelization. Mercury Computer Systems' RACE multicomputer is the COTS computing platform under investigation. With the target software and hardware defined, a system performance model, in the context of SWAP, is developed based on mathematical programming. This work proposes an optimization technique using a combination of constrained nonlinear and integer programming.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2346/22581en_US
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.rights.availabilityUnrestricted.
dc.subjectEmbedded computer systems -- Testingen_US
dc.subjectParallel programming (Computer science)en_US
dc.subjectSynthetic aperture radaren_US
dc.subjectSignal processing -- Evaluationen_US
dc.subjectSignal processing -- Researchen_US
dc.titleOptimal configuration of a parallel embedded system for synthetic aperture radar processing
dc.typeThesis

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