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Nowadays, clusters of multicores are becoming the norm and, although, manyor-parallel Prolog systems have been developed in the past, to the best of ourknowledge, none of them was specially designed to explore the combination ofshared and distributed memory architectures. In recent work, we have proposed anovel computational model specially designed for such combination whichintroduces a layered model with two scheduling levels, one for workers sharingmemory resources, which we named a team of workers, and another for teams ofworkers (not sharing memory resources). In this work, we present a firstimplementation of such model and for that we revive and extend the YapOr systemto exploit or-parallelism between teams of workers. We also propose a new setof built-in predicates that constitute the syntax to interact with anor-parallel engine in our platform. Experimental results show that ourimplementation is able to increase speedups as we increase the number ofworkers per team, thus taking advantage of the maximum number of cores in amachine, and to increase speedups as we increase the number of teams, thustaking advantage of adding more computer nodes to a cluster. We thus argue thatour platform is an efficient and viable alternative for exploiting implicitor-parallelism in the currently available clusters of low cost multicorearchitectures.

On the Implementation of an Or-Parallel Prolog System for Clusters of Multicores