SFINCS Available Versions:
version 2.2.1
Available Versions:
version 2.2.1
The SFINCS (Super-Fast INundation of CoastS) model is a reduced-complexity simulation engine designed to simulate compound coastal flooding with high computational efficiency while maintaining reliable accuracy.
Featuring a grid-based structure that handles complex topographies, SFINCS is particularly well-suited for large-scale, high-resolution inundation modeling where computational speed is crucial.
With Inductiva, you can speed up your SFINCS simulations by sending them to Cloud machines with hundreds of cores and terabytes of disk space.
How to Run SFINCS on the Cloud
Running your SFINCS 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 an SFINCS simulation to a 180 vCPU machine (c3d-highcpu-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.
"""SFINCS example."""
import inductiva
# Allocate Google cloud machine
cloud_machine = inductiva.resources.MachineGroup( \
provider="GCP",
machine_type="c3d-highcpu-180")
# Initialize the Simulator
sfincs = inductiva.simulators.SFINCS( \
version="2.2.1")
# Run simulation with configuration files in the input directory
task = sfincs.run( \
input_dir="/path/to/my/sfincs/files",
on=cloud_machine)
# Wait for the simulation to finish and download the results
task.wait()
cloud_machine.terminate()
task.download_outputs()
We've got 26 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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