On Fri, Jul 05, 2013 at 11:17:15PM +0200, Armin Rigo wrote: > Hi Sean, > > On Fri, Jul 5, 2013 at 8:30 PM, Sean Fisk <seanf...@gmail.com> wrote: > > For my internship, I am working on implementing a solver for partial > > differential equations in RPython. I am investigating the possibility of > > parallelizing the code using multi-threading. > > Sorry, RPython is the wrong tool. It doesn't support multithreading > any more than CPython and PyPy: it relies on the GIL to avoid > crashing, including (but not limited to) everything related to the GC. > The best you can do is dividing the problem among multiple processes.
Hi Sean, Your internship sounds very exciting! RPython is frowned upon for general coding (I believe because it is not a stable supported language target, it requires great care for managing the various resources, and provides little benefit over targetting pypy). I would modestly suggest that instead you should implement your solver on pypy and use your new found rpython skills to optimise the part of the code which is performing poorly (or at least feed back concise benchmarks into pypy). I think that the work on numpypy would have a considerable overlap with your needs. Ping me or the list if you need help, also tell us more about your project and its goals! njh _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
