gpu-monitoring-tools | Tools for monitoring NVIDIA GPUs on Linux | Dashboard library

 by   NVIDIA C Version: 2.4.0 License: Apache-2.0

kandi X-RAY | gpu-monitoring-tools Summary

kandi X-RAY | gpu-monitoring-tools Summary

gpu-monitoring-tools is a C library typically used in Analytics, Dashboard, Grafana applications. gpu-monitoring-tools has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

You can find the official NVIDIA DCGM-Exporter dashboard here: You will also find the json file on this repo under grafana/dcgm-exporter-dashboard.json.
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            kandi-support Support

              gpu-monitoring-tools has a medium active ecosystem.
              It has 956 star(s) with 307 fork(s). There are 35 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 81 open issues and 78 have been closed. On average issues are closed in 18 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of gpu-monitoring-tools is 2.4.0

            kandi-Quality Quality

              gpu-monitoring-tools has 0 bugs and 0 code smells.

            kandi-Security Security

              gpu-monitoring-tools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              gpu-monitoring-tools code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              gpu-monitoring-tools is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              gpu-monitoring-tools releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              It has 7519 lines of code, 347 functions and 55 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            gpu-monitoring-tools Key Features

            No Key Features are available at this moment for gpu-monitoring-tools.

            gpu-monitoring-tools Examples and Code Snippets

            No Code Snippets are available at this moment for gpu-monitoring-tools.

            Community Discussions

            Trending Discussions on gpu-monitoring-tools

            QUESTION

            How to P/Invoke a function with an unknown struct in C#?
            Asked 2021-Feb-19 at 00:03

            I know this sounds really strange, but I don't know how to even ask this properly. I've been trying to P/Invoke into NVidia's NVML library with limited success: I've managed to call a few of the APIs exported by that library

            Now I am trying to call nvmlDeviceGetHandleByIndex_v2 but I've been stuck for a long while on this one. It takes in a nvmlDevice_t pointer, but I've found nothing on what nvmlDevice_t actually is beyond this header definition:

            ...

            ANSWER

            Answered 2021-Feb-19 at 00:03

            If you look at the source, that is just an internal pointer used by the SDK. The value it points to has no meaning to you. You use it to identify a device you are working with.

            Think Handle or HWND in Windows. You call something like FindWindow(), it returns what seems to be a random value back to you. You don't care what that value holds, you just use that value to identify that window when you call GetWindowText() or any other windowing methods.

            So, you are on the right track with using ref int, but what you want is a pointer. So you should use out IntPtr to get the value.

            Source https://stackoverflow.com/questions/66269655

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install gpu-monitoring-tools

            To gather metrics on a GPU node, simply start the dcgm-exporter container:.
            Note: Consider using the NVIDIA GPU Operator rather than DCGM-Exporter directly. Ensure you have already setup your cluster with the default runtime as NVIDIA.

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          • HTTPS

            https://github.com/NVIDIA/gpu-monitoring-tools.git

          • CLI

            gh repo clone NVIDIA/gpu-monitoring-tools

          • sshUrl

            git@github.com:NVIDIA/gpu-monitoring-tools.git

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