Laptop or desktop for ParFlow?

[kim jooyoung]

Hello, I am Jooyoung Kim.
I have been using ParFlow since this January.

I have done some runs on a Windows workstation using WSL.
But during the runs, I learned that with WSL, I cannot use GPU acceleration and can only use the CPU for ParFlow runs. I may be wrong, but it seems like I need to use a native Linux Ubuntu OS rather than a virtualized environment like WSL.

Although I could obtain my results with the CPU, I still want to try runs with a GPU, even on a small scale.
And after encountering some obstacles with WSL, I am considering purchasing a new laptop or desktop and installing Ubuntu on it.
I am really interested in ParFlow, so I want to study it more deeply.
Currently, I do not have access to a Linux server.

What do you think about this idea?
Which do you recommend, a laptop or a desktop?
Or do you recommend just using WSL for studying this model?
How do you usually prepare runs and develop source code?

Thank you for your time and advice.

Jooyoung Kim

[smith84]

Hi,

I have not tried this myself but NVIDIA documentation indicates there is some support for CUDA on WSL.

https://developer.nvidia.com/cuda/wsl

The CUDA toolkit has a WSL-Ubuntu version:

https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=WSL-Ubuntu

What did you try that failed?   You will have to enable CUDA support when running cmake to configure the CUDA support in ParFlow, did that fail?

Is dual booting Windows/Ubuntu an option?   I do that a great deal to avoid the virtualization issues with Windows.

Steve

[kim jooyoung]

Thank you for your quick response.

I think dual booting will be a good option for me.

Because it has been a while since I encountered errors when trying to run ParFlow with a GPU in WSL, I do not remember exactly what caused the errors. I will check the CUDA materials you shared with me.

Thank you again.

Jooyoung

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