Difference between revisions of "DOS GPU Usage"

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nvidia-smi (also NVSMI) provides monitoring and management capabilities for each of NVIDIA's Tesla, Quadro, GRID and GeForce GPU device from Fermi and higher architecture families. The following steps can be used to access nVidia-smi and monitor GPU usage for TUFLOW simulations:
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Nvidia-smi (also NVSMI) provides monitoring and management capabilities for each of NVIDIA's Tesla, Quadro, GRID and GeForce GPU device from Fermi and higher architecture families. The following steps can be used to access nVidia-smi and review real-time GPU usage statistics for TUFLOW simulations:
  
 
== Accessing nvidia-smi to review GPU Usage ==
 
== Accessing nvidia-smi to review GPU Usage ==
 
<ol>
 
<ol>
<li> Launch the DOS Command Prompt from the Run window (press Win+R on your keyboard to open it then, type '''<tt>cmd</tt>''').<br>
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<li> Launch the DOS Command Prompt from the Run window (press Win+R on your keyboard to open "run" then type '''<tt>cmd</tt>''').<br>
 
[[File: Nvidia-smi 001.png|400px]]<br>
 
[[File: Nvidia-smi 001.png|400px]]<br>
<li> Change the directory location to the folder where nvidia-smi is located. Type '''<tt>cd C:\Program Files\NVIDIA Corporation\NVSMI</tt>''' into the DOS window and press enter.<br>
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<li> Type '''<tt>nvidia-smi -l 10</tt>''' in the DOS window and press enter. This will instruct nvidia-smi to refresh every 10 seconds.<br>
[[File: Nvidia-smi 002.png|700px]]<br>
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[[File:Nvidia-smi 1a.jpg|700px]]<br>
<li> Type '''<tt>nvidia-smi -l 10</tt>''' in the DOS window and press enter. This will instruct nvidia-smi to refresh every 10 seconds.
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<li> Review the nvidia-smi usage summary.<br>
[[File: Nvidia-smi 003.png|700px]]<br>
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[[File:Nvidia-smi 1b.jpg|700px]]<br>
<li> Review the nvidia-smi usage summary.
 
[[File: Nvidia-smi 004.png|700px]]<br>
 
 
</ol>
 
</ol>
  
== What to do if GPU usage = 0% when running TUFLOW and the GPU Module ==
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== What to do if GPU utilisation = 0% when running TUFLOW HPC (when using the GPU Module) ==
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A common cause of 0% utilisation is if the calculations have accidentally been paused by activating 'Quick Edit' mode in the console. Quick edit mode was introduced in Windows 10 (in Windows not TUFLOW) and is initiated if the curser clicks somewhere on the DOS window while a TUFLOW simulation is running. Quick Edit mode can be deactivated to avoid this issue.
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* <b><u>[[DOS_Simulation_Paused | Disabling quick edit mode]]</u></b>
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Other troubleshooting tips:
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* Ensure the simulation has entered the calculation loop and is not currently in the initialisation phase (which is performed on the CPU and not GPU)
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* Check TUFLOW is running on a GPU device by checking the console title includes the <b>GPU Devices</b> text. If this text is not included, then the command "<tt>Hardware == GPU</tt>" was most likely not found in the TCF
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: [[File: GPU_devices_console.PNG]]

Latest revision as of 14:47, 25 October 2024

Nvidia-smi (also NVSMI) provides monitoring and management capabilities for each of NVIDIA's Tesla, Quadro, GRID and GeForce GPU device from Fermi and higher architecture families. The following steps can be used to access nVidia-smi and review real-time GPU usage statistics for TUFLOW simulations:

Accessing nvidia-smi to review GPU Usage

  1. Launch the DOS Command Prompt from the Run window (press Win+R on your keyboard to open "run" then type cmd).
    Nvidia-smi 001.png
  2. Type nvidia-smi -l 10 in the DOS window and press enter. This will instruct nvidia-smi to refresh every 10 seconds.
    Nvidia-smi 1a.jpg
  3. Review the nvidia-smi usage summary.
    Nvidia-smi 1b.jpg

What to do if GPU utilisation = 0% when running TUFLOW HPC (when using the GPU Module)

A common cause of 0% utilisation is if the calculations have accidentally been paused by activating 'Quick Edit' mode in the console. Quick edit mode was introduced in Windows 10 (in Windows not TUFLOW) and is initiated if the curser clicks somewhere on the DOS window while a TUFLOW simulation is running. Quick Edit mode can be deactivated to avoid this issue.

Other troubleshooting tips:

  • Ensure the simulation has entered the calculation loop and is not currently in the initialisation phase (which is performed on the CPU and not GPU)
  • Check TUFLOW is running on a GPU device by checking the console title includes the GPU Devices text. If this text is not included, then the command "Hardware == GPU" was most likely not found in the TCF
GPU devices console.PNG