Cluster-Based ASP Solving with claspar

摘要

Abstract. We report on three recent advances in the distributed ASP solver claspar. First, we describe its flexible architecture supporting various search strategies, including competitive search using a portfolio of solver configurations. Second, we describe claspar's distributed learning capacities that allow for sharing learned nogoods among solver instances. Finally, we discuss claspar's approach to distributed optimization.