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GPUs process monitoring for AMD, Intel and NVIDIA

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Syllo/nvtop

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README.markdown

Nvtop stands for Neat Videocard TOP, a (h)top like task monitor for AMD, Intel and NVIDIA GPUs. It can handle multiple GPUs and print information about them in a htop familiar way.

Because a picture is worth a thousand words:

NVTOP interface

NVTOP Options and Interactive Commands

NVTOP has a builtin setup utility that provides a way to specialize the interface to your needs. Simply press F2 and select the options that are the best for you.

NVTOP Setup Window

You can save the preferences set in the setup window by pressing F12 . The preferences will be loaded the next time you run nvtop .

NVTOP Manual and Command line Options

NVTOP comes with a manpage!

For quick command line arguments help

NVTOP supports AMD GPUs using the amdgpu driver through the exposed DRM and sysfs interface.

AMD introduced the fdinfo interface in kernel 5.14 (browse kernel source). Hence, you will need a kernel with a version greater or equal to 5.14 to see the processes using AMD GPUs.

Support for recent GPUs are regularly mainlined into the linux kernel, so please use a recent-enough kernel for your GPU.

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NVTOP supports Intel GPUs using the i915 linux driver.

Intel introduced the fdinfo interface in kernel 5.19 (browse kernel source). Hence, you will need a kernel with a version greater or equal to 5.19 to see the processes using Intel GPUs.

INTEL SUPPORT STATUS

  • Intel is working on exposing more hardware information through an HWMON interface. The patches are still a work in progress: see patch series.
  • The fdinfo interface does not expose the memory allocated by the process. The field in the process list is therefore empty.

The NVML library does not support some of the queries for GPUs coming before the Kepler microarchitecture. Anything starting at GeForce 600, GeForce 800M and successor should work fine. For more information about supported GPUs please take a look at the NVML documentation.

NVTOP supports Adreno GPUs using the msm linux driver.

msm introduced the fdinfo interface in kernel 6.0 (browse kernel source). Hence, you will need a kernel with a version greater or equal to 6.0 to see the processes using Adreno GPUs.

Several libraries are required in order for NVTOP to display GPU information:

  • The ncurses library driving the user interface.
    • This makes the screen look beautiful.
    • This queries the GPU for information.

    Distribution Specific Installation Process

    If your distribution provides the snap utility, follow the snap installation process to obtain an up-to-date version of nvtop.

    A standalone application is available as AppImage.

    Ubuntu Impish (21.10), Debian buster (stable) and more recent

    A PPA supporting Ubuntu 20.04, 22.04 and newer is provided by Martin Wimpress that offers an up-to-date version of nvtop , enabled for NVIDIA, AMD and Intel.

    sudo add-apt-repository ppa:flexiondotorg/nvtop sudo apt install nvtop
    sudo apt install libdrm-dev libsystemd-dev # Ubuntu 18.04 sudo apt install libudev-dev
    sudo apt install cmake libncurses5-dev libncursesw5-dev git

    A standalone application is available as AppImage.

    Red Hat Enterprise Linux 8 and 9

    sudo dnf install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-$(rpm -E %).noarch.rpm sudo dnf install nvtop

    CentOS Stream, Rocky Linux, AlmaLinux

    sudo dnf install -y epel-release sudo dnf install nvtop

    Build process for Fedora / Red Hat / CentOS:

    sudo dnf install libdrm-devel systemd-devel
    sudo dnf install cmake ncurses-devel git gcc-c++

    A standalone application is available as AppImage.

    Build process for OpenSUSE:

    sudo zypper install libdrm-devel
    sudo zypper install cmake ncurses-devel git
    sudo layman -a guru && sudo emerge -av nvtop

    An AppImage is a standalone application. Just download the AppImage, make it executable and run it!

    # Go to the download location ** The path may differ on your system ** cd $HOME/Downloads # Make the AppImage executable chmod u+x nvtop-x86_64.AppImage # Enjoy nvtop ./nvtop-x86_64.AppImage

    If you are curious how that works, please visit the AppImage website.

    snap install nvtop # Add the capability to kill processes inside nvtop snap connect nvtop:process-control # Add the capability to inspect GPU info (Fan, PCIe, Power, etc) snap connect nvtop:hardware-observe # AMDGPU process list support (read /proc/) snap connect nvtop:system-observe # Temporary workaround to get per-process GPU usage (read /proc//fdinfo) snap connect nvtop:kubernetes-support

    Notice: The connect commands allow

    git clone https://github.com/Syllo/nvtop.git && cd nvtop sudo docker build --tag nvtop . sudo docker run -it --rm --runtime=nvidia --gpus=all --pid=host nvtop
    git clone https://github.com/Syllo/nvtop.git mkdir -p nvtop/build && cd nvtop/build cmake .. -DNVIDIA_SUPPORT=ON -DAMDGPU_SUPPORT=ON -DINTEL_SUPPORT=ON make # Install globally on the system sudo make install # Alternatively, install without privileges at a location of your choosing # make DESTDIR="/your/install/path" install

    If you use conda as environment manager and encounter an error while building nvtop, try conda deactivate before invoking cmake .

    The build system supports multiple build type (e.g. -DCMAKE_BUILD_TYPE=RelWithDebInfo):

    • Release: Binary without debug information
    • RelWithDebInfo: Binary with debug information
    • Debug: Compile with warning flags and address/undefined sanitizers enabled (for development purposes)
    • The plot looks bad:
      • Verify that you installed the wide character version of the NCurses library (libncursesw5-dev for Debian / Ubuntu), clean the build directory and restart the build process.

      Nvtop is licensed under the GPLV3 license or any later version. You will find a copy of the license inside the COPYING file of the repository or at the gnu website .

      About

      GPUs process monitoring for AMD, Intel and NVIDIA

      Источник

      How to Monitor Nvidia GPU in Linux

      Nvidia System Monitor GUI for Linux Nvidia System Monitor Qt is a new graphical tool to see a list of processes running on the GPU, and to monitor the GPU and memory utilization (using graphs) of Nvidia graphics cards. It makes use of the nvidia-smi tool to get the GPU information.

      1. How do I monitor GPU usage in Linux?
      2. How do I monitor my Nvidia GPU usage?
      3. How do I check my Nvidia GPU usage Ubuntu?
      4. How do I know if my Nvidia graphics card is running Linux?
      5. How do I check my GPU?
      6. How do I check my GPU processes?
      7. Is 100 GPU usage bad?
      8. How do I manage GPU usage?
      9. Why is my GPU not detected?
      10. How do I find my GPU in terminal?
      11. How do I overclock my GPU?

      How do I monitor GPU usage in Linux?

      1. First install the tool, run: $ sudo apt install intel-gpu-tools. .
      2. Another fancy but very useful tool for NVIDIA GPU. It is a ncurses-based GPU status viewer for NVIDIA GPUs similarly to the htop command or top command. .
      3. View your AMD GPU utilization, both for the total activity percent and individual blocks on Linux.

      How do I monitor my Nvidia GPU usage?

      To view the nVidia GPU usage:

      Click on Show hidden icons on the Taskbar. 2. Click on the nVidia GPU Activity icon to view applications currently using the nVidia GPU.

      How do I check my Nvidia GPU usage Ubuntu?

      1. open source.
      2. to install: sudo apt-get install -y python-pip; sudo pip install glances[gpu]
      3. to launch: sudo glances.

      How do I know if my Nvidia graphics card is running Linux?

      Which OS are you using? If you use lspci on most linux machines you get a list of your pci devices, just grep for graphics devices and it should pop up both of them. After that just check out the config on each of them, you should see details of up/on/active or something to that nature.

      How do I check my GPU?

      1. Click Start.
      2. On the Start menu, click Run.
      3. In the Open box, type «dxdiag» (without the quotation marks), and then click OK.
      4. The DirectX Diagnostic Tool opens. Click the Display tab.
      5. On the Display tab, information about your graphics card is shown in the Device section.

      How do I check my GPU processes?

      In the full view of Task Manager, on the “Processes” tab, right-click any column header, and then enable the “GPU” option. This adds a GPU column that lets you see the percentage of GPU resources each application is using. You can also enable the “GPU Engine” option to see which GPU engine an application is using.

      Is 100 GPU usage bad?

      It is built to run at 100% utilization,so it should be safe,unless you are pushing the limits too much. Even mining GPUs last years spending all the time at 100%. But running at 100% definitely affect its life span, the transisitor wear out on usage. Still it will run for years unless you are unfortunate enough.

      How do I manage GPU usage?

      1. From the NVIDIA Control Panel Select a Task pane, under Workstation, click Manage GPU Utilization.
      2. Under Usage mode, select the appropriate option for each Quadro card. .
      3. Click Apply when done.

      Why is my GPU not detected?

      Graphics card not detected in Device Manager, BIOS – It’s possible that your graphics card isn’t properly connected, or this is usually caused by incompatible drivers, so be sure to update them. . Nvidia graphics card not being used – This is another common problem that users reported.

      How do I find my GPU in terminal?

      1. Use lspci command to find graphics card. .
      2. Get detailed graphics card information with lshw command in Linux. .
      3. Bonus Tip: Check graphics card details graphically.

      How do I overclock my GPU?

      1. Step 1 — Benchmark your current settings. Run either 3DMark or Furmark (the stress-test tools we recommended earlier) and check your current performance: .
      2. Step 2 — Overclock the GPU chip. .
      3. Step 3 — Overclock the memory. .
      4. Step 4 — Fine-tune. .
      5. Step 5 — Increase the power limit. .
      6. Step 6 — Fine-tune (again) and test.

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