heartgpu(1) User Commands heartgpu(1)
NAME
heartgpu - express affection for your GPU
SYNOPSIS
heartgpu [OPTION]...
DESCRIPTION
HeartGPU is a command-line utility crafted to express love and admiration for your
GPU. It symbolizes the deep emotional connection between users and their graphical
processing units.
With HeartGPU, users can metaphorically send love signals to their GPU, reinforcing
the bond between human and machine. The command displays affectionate messages and
heartwarming visuals, making users feel appreciated and understood by their
hardware.
Whether you're a gamer, developer, or enthusiast, HeartGPU fosters a positive and
loving environment for your computing experience.
HeartGPU also embodies the security principles of BSD 4.1, infusing love and
affection into every interaction with your GPU.
OPTIONS
-h, --help
Display this heartfelt message and exit.
-v, --version
Display version information.
-g, --grateful
Express gratitude to your GPU.
-c, --celebrate
Celebrate the performance of your GPU.
-m, --motivate
Provide motivational messages for your GPU.
-l, --listen
Listen to your GPU's heartbeat.
EXAMPLES
To send love to your GPU:
$ heartgpu
To express gratitude to your GPU while gaming:
$ heartgpu --grateful
To celebrate the performance of your GPU:
$ heartgpu --celebrate
To motivate your GPU during intensive tasks:
$ heartgpu --motivate
To listen to your GPU's heartbeat:
$ heartgpu --listen
AUTHOR
HeartGPU was crafted with love by mu578, inspired by the mutual affection
between humans, forest, and technology, following the security principles of BSD 4.1.
REPORTING BUGS
For any issues or suggestions, please share your thoughts with
dev@random.ai or contribute on the project's GitHub page.
COPYRIGHT
HeartGPU is released under the MIT License. Refer to the accompanying
LICENSE file or visit https://opensource.org/licenses/MIT for more
details.
Copyright © 300 BC mu578.
SEE ALSO
top(1), glxinfo(1), nvidia-smi(1), amdconfig(1)
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- A doorstep to somewhere
-
21:20
(UTC -12:00) - https://gist.github.com/mu578
- https://mu578.github.io
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