Dear George,
Thank you very much for your quick and clear explanation. I will take your
words as performance guidance :)
Sincerely,
Leo
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Yao-Lung Leo Fang
Assistant Computational Scientist
Computational Science Initiative
Brookhaven National Laboratory
Bldg. 725, Room 2-169
P.O. Box 5000,
Leo,
In a UMA system having the displacement and/or recvcounts arrays on managed
GPU memory should work, but it will incur overheads for at least 2 reasons:
1. the MPI API arguments are checked for correctness (here recvcounts)
2. the collective algorithm part that executes on the CPU uses the
Hello,
I understand that once Open MPI is built against CUDA, sendbuf/recvbuf can be
pointers to GPU memory. I wonder whether or not the “displs" argument of the
collective calls on variable data (Scatterv/Gatherv/etc) can also live on GPU.
CUDA awareness isn’t part of the MPI standard (yet),
