While these tutorials are typically meant to be visualized in serial, viskex also runs in parallel. To exemplify this, we will show a parallel case using ipyparallel.
First of all, we start a ipyparallel MPI cluster with 2 processes.
import ipyparallel as ipp
cluster = ipp.Cluster(engines="MPI", profile="mpi", n=2)
cluster.start_and_connect_sync()
Starting 2 engines with <class 'ipyparallel.cluster.launcher.MPIEngineSetLauncher'>
<ipyparallel.client.client.Client at 0x7f9274351af0>
The jupyter magic %%px will run the following cells on the ipyparallel cluster.
%%px
import dolfinx.mesh # noqa: E402
import mpi4py.MPI # noqa: E402
%%px
import viskex # noqa: E402
To confirm that we are running in parallel, we can print the rank of the current process and the total number of processes.
%%px
comm_world = mpi4py.MPI.COMM_WORLD
print(f"rank = {comm_world.rank}, size = {comm_world.size}")
[stdout:0] rank = 0, size = 2
[stdout:1] rank = 1, size = 2
Generate a mesh on MPI_COMM_WORLD of the unit square by dividing each edge of the square in 6 segments.
%%px
square_world = dolfinx.mesh.create_unit_square(comm_world, 6, 6)
Plot the mesh defined on MPI_COMM_WORLD. Each rank will plot its local cells, and their neighbors (called ghosts in dolfinx).
%%px
viskex.dolfinx.plot_mesh(square_world)
[output:0]
[output:1]
For comparison, we can generate a similar mesh on MPI_COMM_SELF. Each rank will have its own copy of the whole mesh.
%%px
comm_self = mpi4py.MPI.COMM_SELF
square_self = dolfinx.mesh.create_unit_square(comm_self, 6, 6)
Plot the mesh defined on MPI_COMM_SELF. Each rank will produce a plot which is visually the same, since each rank has its own copy of the same mesh.
%%px
viskex.dolfinx.plot_mesh(square_self)
[output:1]
[output:0]
We finally stop the ipyparallel cluster. Note that when running with Run -> Run all cells all interactive plots will be closed when the kernel executes this cell.
cluster.stop_cluster_sync()
Stopping controller
Controller stopped: {'exit_code': 0, 'pid': 3104, 'identifier': 'ipcontroller-1762150664-ud3j-3085'}
Stopping engine(s): 1762150665
Output for ipengine-1762150664-ud3j-1762150665-3085: 2025-11-03 06:17:45.952 [IPEngine] Loading connection info from $IPP_CONNECTION_INFO 2025-11-03 06:17:45.953 [IPEngine] WARNING | Not using CurveZMQ security 2025-11-03 06:17:45.981 [IPEngine] Loading connection info from $IPP_CONNECTION_INFO 2025-11-03 06:17:45.981 [IPEngine] WARNING | Not using CurveZMQ security 2025-11-03 06:17:45.996 [IPEngine.1] Registering with controller at tcp://127.0.0.1:37935 2025-11-03 06:17:45.996 [IPEngine.0] Registering with controller at tcp://127.0.0.1:37935 2025-11-03 06:17:45.997 [IPEngine.1] Requesting id: 1 2025-11-03 06:17:45.997 [IPEngine.0] Requesting id: 0 2025-11-03 06:17:45.999 [IPEngine.1.1] Shell_addrs: ['tcp://127.0.0.1:35245', 'tcp://127.0.0.1:55415', 'tcp://127.0.0.1:54777'] 2025-11-03 06:17:45.999 [IPEngine.1.1] Connecting shell to tcp://127.0.0.1:35245 2025-11-03 06:17:45.999 [IPEngine.1.1] Connecting shell to tcp://127.0.0.1:55415 2025-11-03 06:17:45.999 [IPEngine.1.1] Connecting shell to tcp://127.0.0.1:54777 2025-11-03 06:17:45.999 [IPEngine.1.1] Starting nanny 2025-11-03 06:17:46.001 [IPEngine.0.0] Shell_addrs: ['tcp://127.0.0.1:35245', 'tcp://127.0.0.1:55415', 'tcp://127.0.0.1:36409'] 2025-11-03 06:17:46.001 [IPEngine.0.0] Connecting shell to tcp://127.0.0.1:35245 2025-11-03 06:17:46.001 [IPEngine.0.0] Connecting shell to tcp://127.0.0.1:55415 2025-11-03 06:17:46.001 [IPEngine.0.0] Connecting shell to tcp://127.0.0.1:36409 2025-11-03 06:17:46.001 [IPEngine.0.0] Starting nanny 2025-11-03 06:17:46.413 [KernelNanny.0] Starting kernel nanny for engine 0, pid=3137, nanny pid=3150 2025-11-03 06:17:46.413 [KernelNanny.1] Starting kernel nanny for engine 1, pid=3138, nanny pid=3149 2025-11-03 06:17:46.413 [KernelNanny.0] Nanny watching parent pid 3137. 2025-11-03 06:17:46.413 [KernelNanny.1] Nanny watching parent pid 3138. 2025-11-03 06:17:46.484 [IPEngine.0.0] Loading IPython extension: storemagic 2025-11-03 06:17:46.484 [IPEngine.1.1] Loading IPython extension: storemagic 2025-11-03 06:17:46.484 [IPEngine.0.0] Running code in user namespace: from mpi4py import MPI mpi_rank = MPI.COMM_WORLD.Get_rank() mpi_size = MPI.COMM_WORLD.Get_size() 2025-11-03 06:17:46.484 [IPEngine.1.1] Running code in user namespace: from mpi4py import MPI mpi_rank = MPI.COMM_WORLD.Get_rank() mpi_size = MPI.COMM_WORLD.Get_size() 2025-11-03 06:17:46.486 [IPEngine.0.0] WARNING | debugpy_stream undefined, debugging will not be enabled 2025-11-03 06:17:46.486 [IPEngine.1.1] WARNING | debugpy_stream undefined, debugging will not be enabled 2025-11-03 06:17:46.491 [IPEngine.0.0] Starting to monitor the heartbeat signal from the hub every 3500 ms. 2025-11-03 06:17:46.491 [IPEngine.0.0] Completed registration with id 0 2025-11-03 06:17:46.491 [IPEngine.1.1] Starting to monitor the heartbeat signal from the hub every 3500 ms. 2025-11-03 06:17:46.491 [IPEngine.1.1] Completed registration with id 1 2025-11-03 06:17:51.241 [IPEngine.0.0] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_1 2025-11-03 06:17:51.242 [IPEngine.1.1] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_2 2025-11-03 06:17:51.420 [IPEngine.0.0] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_3 2025-11-03 06:17:51.420 [IPEngine.1.1] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_4 2025-11-03 06:17:52.349 [IPEngine.0.0] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_5 2025-11-03 06:17:52.350 [IPEngine.1.1] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_6 2025-11-03 06:17:52.361 [IPEngine.0.0] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_7 2025-11-03 06:17:52.361 [IPEngine.1.1] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_8 2025-11-03 06:17:52.374 [IPEngine.0.0] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_9 2025-11-03 06:17:52.374 [IPEngine.1.1] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_10 2025-11-03 06:17:52.712 [IPEngine.0.0] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_11 2025-11-03 06:17:52.712 [IPEngine.1.1] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_12 2025-11-03 06:17:52.722 [IPEngine.0.0] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_13 2025-11-03 06:17:52.722 [IPEngine.1.1] Handling execute_request: 3a6e27ad-aaa7f9ae69ff4583be8cd787_3085_14 2025-11-03 06:17:53.520 [KernelNanny.0] Pipe closed, parent 3137 has status: running 2025-11-03 06:17:53.520 [KernelNanny.0] Notifying Hub that our parent has shut down 2025-11-03 06:17:53.534 [KernelNanny.1] Pipe closed, parent 3138 has status: zombie 2025-11-03 06:17:53.534 [KernelNanny.1] Notifying Hub that our parent has shut down 2025-11-03 06:17:53.536 [KernelNanny.0] Parent 3137 exited with status None. 2025-11-03 06:17:53.571 [KernelNanny.1] Parent 3138 exited with status None.
engine set stopped 1762150665: {'exit_code': 1, 'pid': 3132, 'identifier': 'ipengine-1762150664-ud3j-1762150665-3085'}