GrGen: A Fast SPO-Based Graph Rewriting Tool
Author(s) -
Rubino Geiß,
Gernot Veit Batz,
Daniel Grund,
Sebastian Hack,
Adam M. Szalkowski
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-38870-2
DOI - 10.1007/11841883_27
Subject(s) - computer science , rewriting , programming language , graph rewriting , graph , theoretical computer science , benchmark (surveying) , heuristic , artificial intelligence , geodesy , geography
Graph rewriting is a powerful technique that requires graph pattern matching, which is an NP-complete problem. We present GrGen, a generative programming system for graph rewriting, which applies heuristic optimizations. According to Varró's benchmark it is at least one order of magnitude faster than any other tool known to us. Our graph rewriting tool implements the well-founded single-pushout approach. We define the notion of search plans to represent different matching strategies and equip these search plans with a cost model, taking the present host graph into account. The task of selecting a good search plan is then viewed as an optimization problem. For the ease of use, GrGen features an expressive specification language and generates program code with a convenient interface.
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