#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl
You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently.
https://github.com/NVIDIA/cuda-samples
kitty
The fast, feature-rich, GPU based #terminal emulator
Uses GPU and SIMD vector CPU instructions for best in class
Uses threaded rendering for absolutely minimal latency
Performance tradeoffs can be tuned
Capable Scriptable Composable Cross-platform Innovative
To get started see Quickstart.
https://sw.kovidgoyal.net/kitty/
With software, such as "Kitty", it is possible to read documents, images and other graphical formats with these software:
https://github.com/dsanson/termpdf.py
http://www.kraxel.org/blog/linux/fbida/
https://github.com/itsjunetime/tdf
It means, that we no longer need GTK+ (which dropped support for X11), Qt and other graphical toolkits in order to have a full operational computer.
qrcp, transfer files over wifi from your computer to your mobile device by scanning a QR code without leaving the terminal.
#tools#terminal
@thedevs
https://kutt.it/fycGgm
eDEX-UI, a science fiction terminal emulator designed for large touchscreens that runs on all major OSs.
#tools#terminal
@thedevs
https://kutt.it/IaR1au