7th International Symposium on Quality Electronic Design (ISQED'06)
DOI: 10.1109/isqed.2006.87
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Minimizing FPGA Reconfiguration Data at Logic Level

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Cited by 2 publications
(2 citation statements)
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“…The reconfiguration cost δ(I j , I k ) can be calculated as n − p i=1 y i, j,k . So, the constraint (10) ensures that m is an upper bound for the reconfiguration cost between any pair of instances corresponding to adjacent execution contexts. So, the minimum maximum reconfiguration cost of I can be obtained by minimizing m, as shown in (6).…”
Section: R) Be a Hrs Obtained From A 3sat Instance With A Collection C Of Clauses On A Finite Set U Of Boolean Variables And Let I Be A 4mentioning
confidence: 99%
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“…The reconfiguration cost δ(I j , I k ) can be calculated as n − p i=1 y i, j,k . So, the constraint (10) ensures that m is an upper bound for the reconfiguration cost between any pair of instances corresponding to adjacent execution contexts. So, the minimum maximum reconfiguration cost of I can be obtained by minimizing m, as shown in (6).…”
Section: R) Be a Hrs Obtained From A 3sat Instance With A Collection C Of Clauses On A Finite Set U Of Boolean Variables And Let I Be A 4mentioning
confidence: 99%
“…One of these challenges is the lack of formal models and methodologies for design automation of dynamically reconfigurable systems [1,2]. One of the most critical problems that the designer faces is to minimize the reconfiguration cost with the goal to achieve an optimal performance [10].…”
Section: Introductionmentioning
confidence: 99%