Updated to reflect new GPU device ID behaviour.

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Craig Warren
2019-03-29 15:10:55 +00:00
父节点 b709323efe
当前提交 c083371dd0

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@@ -38,8 +38,8 @@ Message Passing Interface (MPI) has been utilised to implement a simple task far
.. code-block:: none
(gprMax)$ python -m gprMax user_models/cylinder_Bscan_2D.in -n 60 -mpi 5 -gpu
(gprMax)$ python -m gprMax user_models/cylinder_Bscan_2D.in -n 60 -mpi 5 -gpu 0 1 2 3
.. note::
The argument given with `-mpi` is number of MPI tasks, i.e. master + workers, for MPI task farm. So in this case, 1 master (CPU) and 4 workers (GPU cards).
The argument given with `-mpi` is number of MPI tasks, i.e. master + workers, for MPI task farm. So in this case, 1 master (CPU) and 4 workers (GPU cards). The integers given with the `-gpu` argument are the NVIDIA CUDA device IDs for the specific GPU cards to be used.