Run the Scenarios on Inductiva

Running the Baseline S0 Scenario

The following Python script runs the simulation for the configuration S0/polynya2D_20211007. Save the following code as a .py file inside the tutorial directory before running it.

"""SWAN example"""
import inductiva

# Allocate cloud machine on Google Cloud Platform
cloud_machine = inductiva.resources.MachineGroup( \
    provider="GCP",
    machine_type="c4d-highcpu-32",
    data_disk_gb=20,
    spot=True)

# Initialize the Simulator
swan = inductiva.simulators.SWAN(\
    version="41.45")

# Run simulation
task = swan.run(input_dir="polynya",
    sim_config_filename="S0/polynya2D_20211007.swn",
    on=cloud_machine)

# Wait for the simulation to finish and download the results
task.wait()
cloud_machine.terminate()

task.print_summary()

In this example, we use a c4d-highcpu-32 machine, based on 5th Gen AMD EPYC processors (2024), equipped with 32 virtual CPUs. You can explore the full range of available machines here.

Note: Setting spot=True enables the use of spot machines, which are available at substantial discounts. However, your simulation may be interrupted if the cloud provider reclaims the machine.

When the simulation is complete, we terminate the machine, download the results and print a summary of the simulation as shown below.

Task status: Success

Timeline:
    Waiting for Input         at 05/10, 10:54:03      1.262 s
    In Queue                  at 05/10, 10:54:04      50.123 s
    Preparing to Compute      at 05/10, 10:54:54      6.886 s
    In Progress               at 05/10, 10:55:01      12956.885 s
        ├> 1.068 s         dd if=/dev/stdin of=machinefile
        └> 12955.593 s     swanrun -input polynya2D_20211007.swn -mpi 32
    Finalizing                at 05/10, 14:30:58      6.567 s
    Success                   at 05/10, 14:31:04

Data:
    Size of zipped output:    930.15 MB
    Size of unzipped output:  1.92 GB
    Number of output files:   180

Total estimated cost (US$): 2.02 US$
    Estimated computation cost (US$): 2.01 US$
    Task orchestration fee (US$): 0.010 US$

Note: A per-run orchestration fee (0.010 US$) applies to tasks run from 01 Dec 2025, in addition to the computation costs.
Learn more about costs at: https://inductiva.ai/guides/basics/how-much-does-it-cost

As you can see in the "In Progress" line, the part of the timeline that represents the actual execution of the simulation, the core computation time of this simulation was approximately 3.6 hours.

To run the S2_f5/polynya2D_20211007, simply update the sim_config_filename parameter accordingly.

Scaling Up Your Simulation

Scaling up is straightforward — just increase the machine_type to a machine with more virtual CPUs. For example, doubling the vCPUs from c4d-highcpu-32 to c4d-highcpu-64 can significantly reduce runtime.

Below are the results of running the S0/polynya2D_20211007 and S2_f5/polynya2D_20211007 configurations on different computational setups:

We observe a significant, though not linear, improvement in execution time as the number of virtual CPUs increases, accompanied by a corresponding rise in cost. For larger simulations or tight deadlines, opting for more powerful machines can yield substantial time savings.