SNL-SWAN Available Versions:
version 2.2
Available Versions:
version 2.2
SNL-SWAN is a modification of the SWAN (Simulating WAves Nearshore) model that includes a validated Wave Energy Converter (WEC) module to improve how SWAN accounts for power performance of Wave Energy Converters (WECs) and their effect on the wave field.
With Inductiva, you can speed up your SNL-SWAN simulations by sending them to Cloud machines with hundreds of cores.
How to Run SNL-SWAN on the Cloud
Running your SNL-SWAN simulations on the Cloud is easy. All you need is to create a short Python script that points Inductiva to the simulation artifacts you have on your computer, and we will take it from there.
On the right, we show how to use the Inductiva API to send a SNL-SWAN simulation to a 180 vCPU machine (c3d-standard-180) hosted on Google Cloud (GCP).
You can copy paste this Python script and adapt it to your own case. Your simulation will start right away, without waiting in a queue.
""" SNL SWAN example."""
import inductiva
# Allocate Google cloud machine
cloud_machine = inductiva.resources.MachineGroup( \
provider="GCP",
machine_type="c3d-highcpu-180")
# Initialize the Simulator
snl_swan = inductiva.simulators.SNLSWAN()
# Run simulation with config files in the input directory
task = snl_swan.run( \
input_dir="/Path/to/My/Snl-Swan/Files",
sim_config_filename="my_config_file.swn",
on=cloud_machine)
# Wait for the simulation to finish and download the results
task.wait()
cloud_machine.terminate()
task.download_outputs()
We've got 22 simulators ready for you to explore.
Just one click away from running your favorite open-source simulators on the cloud and at scale!
Why not give it a try? Explore our example codes and discover everything our API can offer.
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