#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
#Murmuration#PKM 这个有意思,[《中国的地图每张都是错的》](https://telegra.ph/%E6%AF%8F%E5%BC%A0%E4%B8%AD%E5%9B%BD%E5%9C%B0%E5%9B%BE%E9%83%BD%E6%98%AF%E9%94%99%E7%9A%84%E8%BF%98%E6%98%AF%E6%95%85%E6%84%8F%E7%9A%84-05-15),这是翻译版本。原版在这里 [《Every map of China is wrong》](https://medium.com/@anastasia.bizyayeva/every-map-of-china-is-wrong-bc2bce145db2) 。🤷我说怎么地图啥都飘呢,哈哈哈