Andreas Kloeckner
2018-07-21 03:27:14 UTC
We have a machine now that has both a Titan X (Maxwell) and a Titan V
(Volta) card, which have different architectures. My students/postdocs
have been running PyCUDA codes but I am not sure if we need to do
anything different in this case -- does PyCUDA determine the
architecture automatically?
https://docs.nvidia.com/cuda/volta-compatibility-guide/index.html
the right thing to do is to compile with nvcc and the flags
-gencode=arch=compute_61,code=sm_61
-gencode=arch=compute_70,code=sm_70
Do we need to do anything or will it just work?
Cc'ing the mailing list for archival.(Volta) card, which have different architectures. My students/postdocs
have been running PyCUDA codes but I am not sure if we need to do
anything different in this case -- does PyCUDA determine the
architecture automatically?
https://docs.nvidia.com/cuda/volta-compatibility-guide/index.html
the right thing to do is to compile with nvcc and the flags
-gencode=arch=compute_61,code=sm_61
-gencode=arch=compute_70,code=sm_70
Do we need to do anything or will it just work?
You will only have one context per GPU. PyCUDA's SourceModule (assuming
that that's what you're using) will automatically pass the right arch
flags for the GPU in that context.
Andreas