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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/12555
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dc.contributor.advisorLawford, Marken_US
dc.contributor.advisorNicolici, Nicolaen_US
dc.contributor.authorBergstra, Jameson P.en_US
dc.date.accessioned2014-06-18T17:00:00Z-
dc.date.available2014-06-18T17:00:00Z-
dc.date.created2012-09-23en_US
dc.date.issued2012-10en_US
dc.identifier.otheropendissertations/7431en_US
dc.identifier.other8485en_US
dc.identifier.other3344563en_US
dc.identifier.urihttp://hdl.handle.net/11375/12555-
dc.description.abstractIn this thesis we discuss a formal approach to the design of concurrent error detection (CED) logic in field-programmable gate arrays (FPGAs). Single event upsets (SEUs) occurring in look-up table (LUT) configuration bits are considered as the fault model. Our approach involves representing the LUT network of the design implemented in the FPGA with constraints to model the presence of SEUs as a boolean formula in conjunctive normal form. A quantified boolean formula (QBF) based approach to designing CED logic based on parity check codes is found to be infeasible for designs of a realistic size. It is shown that a satisfiability (SAT) solver can be used to find variable assignments that indicate which circuit outputs can be corrupted by upset events in the specified fault model. An algorithm is presented to automatically generate a parity check code, which will identify with one clock cycle detection latency a malfunction caused by an SEU. The resulting parity check logic can be verified using a SAT solver and it is shown to require fewer LUT resources than duplication for most circuits.en_US
dc.subjectSEUsen_US
dc.subjectError Detectionen_US
dc.subjectSAT solversen_US
dc.subjectSynthesisen_US
dc.subjectDigital Circuitsen_US
dc.subjectDigital Circuitsen_US
dc.titleA Formal Approach to Concurrent Error Detection in FPGA LUTsen_US
dc.typethesisen_US
dc.contributor.departmentComputing and Softwareen_US
dc.description.degreeMaster of Applied Science (MASc)en_US
Appears in Collections:Open Access Dissertations and Theses

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