@profile slows down MPI?

Is anybody else having problems when trying to @profile an MPI program? I seem to find that when I add @profile my code slows down a lot, with a load of time being spent in MPI calls (a lot more than I would expect). I think I’ve tried the same thing before without any problem, maybe 6 months to 1 year ago, so the apparent slow-down surprises me. It’s entirely possible the problem is something that’s changed in my code, so I wondered if anyone else had a similar problem, in case a problem has appeared in the interaction between MPI.jl and Profile.jl…