Proceedings of the 2004 ACM/SIGDA 12th International Symposium on Field Programmable Gate Arrays 2004
DOI: 10.1145/968280.968303
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Flexibility measurement of domain-specific reconfigurable hardware

Abstract: Traditional metrics used to compare hardware designs include area, performance, and power. However, these metrics do not form a complete evaluation of reconfigurable hardware. For these designs, flexibility is also a key issue, since it is the flexibility of reconfigurable hardware that allows it to implement a variety of circuits. Despite its importance, there is not yet an established method to measure flexibility. This paper explores the flexibility testing issue for domain-specific reconfigurable architect… Show more

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Cited by 9 publications
(12 citation statements)
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“…Then the area results of the algorithms are compared to each other as well as to other implementations of the input circuits. Finally, we compare the flexibility of the generated algorithms using a novel flexibility measurement technique [22].…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Then the area results of the algorithms are compared to each other as well as to other implementations of the input circuits. Finally, we compare the flexibility of the generated algorithms using a novel flexibility measurement technique [22].…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, this algorithm does not restrict the offsets of the created tracks as the next two algorithms do. While this can negatively impact the architecture's flexibility to implement netlists beyond the input netlist set [11], [22], the goal of the algorithm is to customize the routing architecture significantly for the given applications within the limitations of the previously described architectural style. The pseudocode for this algorithm is shown in Fig.…”
Section: B Routing Generationmentioning
confidence: 99%
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“…Compton and Hauck have defined a testing method and quantification metric for flexibility of reconfigurable hardware [4]. Other examples of relevant research in reconfigurable hardware include Kim et al [8] and Chiou et al [2].…”
Section: Related Workmentioning
confidence: 99%