Andreas Kloeckner
2016-09-21 16:16:50 UTC
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.
approach to parallel RNG. Documentation here:
https://documen.tician.de/pyopencl/array.html#module-pyopencl.clrandom
Hope that helps,
Andreas
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.
I have a question regarding cuda random number generation. This isn't
appropriate for github I think. Also, FYI I tried searching the mailing
http://news.gmane.org/gmane.comp.python.cuda
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 rightappropriate for github I think. Also, FYI I tried searching the mailing
http://news.gmane.org/gmane.comp.python.cuda
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.
approach to parallel RNG. Documentation here:
https://documen.tician.de/pyopencl/array.html#module-pyopencl.clrandom
Hope that helps,
Andreas