2001
DOI: 10.1145/502907.502910
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Using model dataflow graphs to reduce the storage requirements of constraints

Abstract: Dataflow constraints allow programmers to easily specify relationships among application objects in a natural, declarative manner. Most constraint solvers represent these dataflow relationships as directed edges in a dataflow graph. Unfortunately, dataflow graphs require a great deal of storage. Consequently, an application with a large number of constraints can get pushed into virtual memory, and performance degrades in interactive applications. Our solution is based on the observation that objects derived fr… Show more

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Cited by 3 publications
(1 citation statement)
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References 31 publications
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“…1276 B. T. VANDER ZANDEN ET AL.interfaces [1][2][3][4][5][6][7][8][9][10][11]. In turn these implementations have spawned many articles describing algorithms for solving these constraints or evaluating the trade-offs among these algorithms [5,[11][12][13][14][15][16][17].A pair of 'retrospective' papers have also been published recently that report on longer-term experiences with constraints. A companion paper to this one provides an empirical comparison of the performance and design trade-offs of various constraint satisfaction algorithms based on our experiences with the toolkits described in this paper [18].…”
mentioning
confidence: 99%
“…1276 B. T. VANDER ZANDEN ET AL.interfaces [1][2][3][4][5][6][7][8][9][10][11]. In turn these implementations have spawned many articles describing algorithms for solving these constraints or evaluating the trade-offs among these algorithms [5,[11][12][13][14][15][16][17].A pair of 'retrospective' papers have also been published recently that report on longer-term experiences with constraints. A companion paper to this one provides an empirical comparison of the performance and design trade-offs of various constraint satisfaction algorithms based on our experiences with the toolkits described in this paper [18].…”
mentioning
confidence: 99%