DualSPHysics Available Versions:
version 5.2.1
Available Versions:
version 5.2.1
With Inductiva, you can run your DualSPHysics simulations using top-tier Cloud GPUs, including NVIDIA A100 and H100.
Inductiva also provides an efficient solution for running hundreds of simulations in parallel to solve your engineering problems using cost-effective Cloud GPUs such as NVIDIA L4.
How to Run DualSPHysics on the Cloud
Running your DualSPHysics 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 DualSPHysics simulation to an NVIDIA H100 GPU hosted on Google Cloud (GCP). You can copy paste this Python script and adapt it to your own case.
You also have the option of connecting your own local GPUs to further reduce computing costs without compromising your coding experience.
"""DualSPHysics example."""
import inductiva
# Allocate Google cloud machine
cloud_machine_gpu = inductiva.resources.MachineGroup( \
provider="GCP",
zone="europe-west4-b",
machine_type="a3-highgpu-1g")
# Initialize the Simulator
dualsphysics = inductiva.simulators.DualSPHysics()
# Run simulation with config files in the input directory
task = dualsphysics.run( \
input_dir="path/to/my/DualSPHysics/files",
shell_script="my_config_file.sh",
on=cloud_machine_gpu)
# Wait for the simulation to finish and download the results
task.wait()
cloud_machine_gpu.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.
AMR-Wind
CaNS
COAWST
CP2K
DualSPHysics
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FDS
GROMACS
GX
NWChem
OpenFAST
OpenFOAM (ESI)
OpenFOAM (Foundation)
OpenSees
Quantum ESPRESSO
REEF3D
SCHISM
SNL-SWAN
SPlisHSPlasH
SWAN
SWASH
XBeach
