Strategies for profiling functions in ipyparallel

I have a function that is going slow and I would like to figure out what is holding it up. I have profiled the underlying non-parallel function and it goes about as fast as it can on data of a size which it can handle. However, it really needs to work on blocks of data in parallel to get done in a reasonable amount of time and to work on data of any significance. So, I really need to profile it while it is running in parallel with `ipyparallel`. Are there any suggested ways to go about this? Is it possible to use some existing tool like `line_profiler`? If not, what other tools might be look at? Does `ipyparallel` have any tricks for doing this sort of thing?