GX

Available Versions:

version 11-2024 (based on the source code from the GX repository as of November 2024)

GX is a GPU-native model for solving the nonlinear gyrokinetic system for low-frequency turbulence in magnetized plasmas, in particular tokamaks and stellarators, using Fourier-Hermite-Laguerre spectral methods. This software has proven ideal for fusion reactor design and optimization, as well as for general physics research.

With Inductiva, you can accelerate your GX simulations using top-tier Cloud GPUs, including NVIDIA A100 and H100.

Inductiva also provides an efficient solution for running hundreds of simulations in parallel for your design optimization projects using cost-effective Cloud GPUs such as NVIDIA L40.

How to Run GX on the Cloud

Running your GX 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 GX simulation to an H100 NVIDIA 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.

                            """GX example."""
import inductiva

# Allocate Google cloud machine
cloud_machine_gpu = inductiva.resources.MachineGroup( \
    provider="GCP",
    machine_type="a3-highgpu-1g")

# Initialize the Simulator
gx = inductiva.simulators.GX()

# Run simulation with config files in the input directory
task = gx.run( \
    input_dir="/Path/to/My/GX/Files",
    sim_config_filename="my_config_file.in",
    on=cloud_machine_gpu)

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

task.download_outputs()

                        

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