Thanks Andreas. I found the answer in an old post after all: http://osdir.com/ml/ python-cuda/2011-12/msg00014.html
On 21 September 2016 at 17:16, Andreas Kloeckner <[email protected]> wrote: > Hi Peter, > > Please send messages like this to the mailing list in the > future. There's some drama going on with Gmane, but it should be back up > at some point. In the meantime, Mailman and the conventional archives > are still available. > > Peter Walsh <[email protected]> writes: > > I have a question regarding cuda random number generation. This isn't > > appropriate for github I think. Also, FYI I tried searching the mailing > > list for details, but the searchable archive seems to be down: > > http://news.gmane.org/gmane.comp.python.cuda > > > > My question is thus: > > How do I generate random numbers in my own kernel (called from pycuda)? I > > am trying to build a montecarlo simulation - and passing in an "entropy > > pool" from the host is not acceptable. > > Random123 is available in PyOpenCL. To my mind, that's the right > approach to parallel RNG. Documentation here: > > https://documen.tician.de/pyopencl/array.html#module-pyopencl.clrandom > > Hope that helps, > Andreas >
_______________________________________________ PyCUDA mailing list [email protected] https://lists.tiker.net/listinfo/pycuda
