A multicore tool for constraint solving
R Amadini, M Gabbrielli, J Mauro
IJCAI International Joint Conference on Artificial Intelligence | International Joint Conferences on Artificial Intelligence | Published : 2015
In Constraint Programming (CP), a portfolio solver uses a variety of different solvers for solving a given Constraint Satisfaction/Optimization Problem. In this paper we introduce sunny-cp2: the first parallel CP portfolio solver that enables a dynamic, cooperative, and simultaneous execution of its solvers in a multicore setting. It incorporates state-of-the-art solvers, providing also a usable and configurable framework. Empirical results are very promising. sunny-cp2 can even outperform the performance of the oracle solver which always selects the best solver of the portfolio for a given problem.