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Timeline for GPU usage monitoring (CUDA)

Current License: CC BY-SA 4.0

16 events
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Nov 29, 2022 at 7:53 history edited Xuehai Pan CC BY-SA 4.0
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Apr 15, 2022 at 8:39 history edited Xuehai Pan CC BY-SA 4.0
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Apr 15, 2022 at 5:11 history edited Xuehai Pan CC BY-SA 4.0
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Apr 15, 2022 at 5:03 history edited Xuehai Pan CC BY-SA 4.0
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Oct 6, 2021 at 7:38 history edited Xuehai Pan CC BY-SA 4.0
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Oct 2, 2021 at 17:23 comment added Hyperplane I really like this because it shows Time-Series for both CPU & GPU. Many tools only show current usage, or Time-Series for either, but not for both. 👍
Jun 30, 2021 at 6:55 history edited Xuehai Pan CC BY-SA 4.0
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Jun 29, 2021 at 18:11 comment added Xuehai Pan For non-sudo users, pip install nvitop will install into ~/.local/bin by default. Users can add --user option to pip explicitly to make a user-wise install. Then you may need to add ~/.local/bin into your PATH environment variable. If there is no system Python installed, you can use Linuxbrew or conda to install Python in your home directory.
Jun 29, 2021 at 16:03 comment added Sudharsan Madhavan Works like charm with just conda virtual environment without sudo access if anyone is looking for a solution WITHOUT admin access.
May 19, 2021 at 9:15 history edited Xuehai Pan CC BY-SA 4.0
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May 19, 2021 at 8:58 history edited Xuehai Pan CC BY-SA 4.0
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May 19, 2021 at 8:53 history edited Xuehai Pan CC BY-SA 4.0
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May 19, 2021 at 8:47 review Late answers
May 19, 2021 at 10:33
May 19, 2021 at 8:39 history edited Xuehai Pan CC BY-SA 4.0
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May 19, 2021 at 8:32 review First posts
May 21, 2021 at 11:26
May 19, 2021 at 8:29 history answered Xuehai Pan CC BY-SA 4.0