#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
Lesson 21 of our Uzbek self-study course: digraphs sh, ch and the letter l.
Learn their pronunciation, see examples with countries and nationalities, and practice with audio exercises.
https://yep.uz/en/2025/09/lesson-21-uzbek-digraphs-sh-ch-l/
#uzbek#uzbeklanguage#uzbeklesson#uzbekalphabet#learnuzbek#languagelearning#sh#ch#LeMonde