Hi Zhen, On 17/04/15 15:53, Zhen Zhang wrote: > Thanks a lot, but you may misunderstand my idea. Assuming I have two > CUDA GPUs on a single node, and I want to partition a mesh into two > parts and solve two partition on two GPUs simultaneously.
This is exactly what you want:
[backend-cuda]
device-id = local-rank
for. (Or use the compute-exclusive solution as outlined by Brian.)
> I can set the `devid`, but it is a sole number, which targets at only
> one GPU. But for local-rank, MPI ( I used MVAPICH2) gives all two
> processes to a single card.
Can you attach the config file you're using?
Also, as an aside it is perhaps also worth noting that almost all config
file options support expansion of environmental variables. So with
MVAPICH2:
[backend-cuda]
device-id = ${MV2_COMM_WORLD_LOCAL_RANK}
is basically the same as local-rank.
Regards, Freddie.
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