metaSMT: Focus On Your Application Not On Solver Integration

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Planned Features ◮ Multi-Threaded (arbitrary many) and Multi-Process ◮ Python bindings ◮ SMT 2 input Parser 20
Conclusions ◮ Lower barrier of entry ◮ We find it is easier to write SMT based algorithms, even when you get different solvers for free. ◮ <strong>metaSMT</strong> as abstraction layer let easy to evaluate different contextes in term of optmization by very low programming effort. ◮ Use solvers that are not SMT-Lib 2.0 compliant with a unified interface. <strong>metaSMT</strong> http://www.informatik.uni-bremen.de/agra/eng/metasmt.php 21
Page 1 and 2: metaSMT: Focus On Your Application
Page 3 and 4: Motivation ◮ Decision procedures
Page 9 and 10: Example: Integer Factorization / Pr
Page 15 and 16: Problems so far ◮ Solver specific
Page 17 and 18: Architecture ◮ Three layer archit
Page 19 and 20: Syntax (Core Logic) prediate the ty
Page 21 and 22: Contexts FRONTEND (C++) QF_BV Core
Page 23 and 24: Contexts DirectSolver ◮ Direct Ev
Page 25 and 26: Contexts DirectSolver< CUDD > ◮ D
Page 27 and 28: Explicit solver APIs Remark ◮ Sol
Page 29 and 30: Explicit solver APIs (Example) ◮
Page 31 and 32: Explicit solver APIs (Example) ◮
Page 33 and 34: Evaluation ◮ Experiment on RevKit
Page 35 and 36: Features A summary of current and f
Page 37: New Features ◮ Cardinality Constr
Page 41 and 42: Slide Index ◮ Motivation ◮ Prob
Page 43 and 44: Example: Mastermind Constraint for
Page 45: Lessons learnt ◮ There is no one

metaSMT: Focus On Your Application Not On Solver Integration

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