  As multicore computing is now standard, it seems irresponsible for
constraints researchers to ignore the implications of it. Researchers need to
address a number of issues to exploit parallelism, such as: investigating which
constraint algorithms are amenable to parallelisation; whether to use shared
memory or distributed computation; whether to use static or dynamic
decomposition; and how to best exploit portfolios and cooperating search. We
review the literature, and see that we can sometimes do quite well, some of the
time, on some instances, but we are far from a general solution. Yet there
seems to be little overall guidance that can be given on how best to exploit
multicore computers to speed up constraint solving. We hope at least that this
survey will provide useful pointers to future researchers wishing to correct
this situation.
  Under consideration in Theory and Practice of Logic Programming (TPLP).
