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tdsops_t contains information about where in the parallel decomposition it is. This is very similar to the MPI_CartComm and it may be beneficial to make use of this.
The text was updated successfully, but these errors were encountered:
We may want to use nccl in CUDA backend and rccl for AMD and I guess they don't have a CartComm like support, I cound't find anything online. Also, with the iterative solver I think we'll be able to run cases that doesn't really a good fit for CartComm. For example a backward facing step, where there is no mesh and no ranks in that gap part. A custom communicator is still an option here and I think at least nccl supports it, but not sure if its any better than current approach.
tdsops_t
contains information about where in the parallel decomposition it is. This is very similar to the MPI_CartComm and it may be beneficial to make use of this.The text was updated successfully, but these errors were encountered: