The experimental evaluation of MaCS showed a scalable parallel constraint solver on different problems with different characteristics. Moreover, the detailed evaluation of the different components and from different perspectives revealed and identified important aspects such as sources of overhead which, together with MaCS parameters, helped achieving high parallel efficiency and speedups up to 512 cores. Additionally,
it allowed us to improve upon that of PaCCS, an already scalable parallel constraint solver.