  Answer Set Programming (ASP) is a famous logic language for knowledge
representation, which has been really successful in the last years, as
witnessed by the great interest into the development of efficient solvers for
ASP. Yet, the great request of resources for certain types of problems, as the
planning ones, still constitutes a big limitation for problem solving.
Particularly, in the case the program is grounded before the resolving phase,
an exponential blow up of the grounding can generate a huge ground file,
infeasible for single machines with limited resources, thus preventing even the
discovering of a single non-optimal solution. To address this problem, in this
paper we present a distributed approach to ASP solving, exploiting distributed
computation benefits in order to overcome the just explained limitations. The
here presented tool, which is called Distributed Answer Set Coloring (DASC), is
a pure solver based on the well-known Graph Coloring algorithm. DASC is part of
a bigger project aiming to bring logic programming into a distributed system,
started in 2017 by Federico Igne with mASPreduce and continued in 2018 by
Pietro Totis with a distributed grounder. In this paper we present a low level
implementation of the Graph Coloring algorithm, via the Boost and MPI libraries
for C++. Finally, we provide a few results of the very first working version of
our tool, at the moment without any strong optimization or heuristic.
