#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
🪙EthGlobalNews | #BTC Corporate Holdings Update
📊 Michael Saylor’s MicroStrategy still tops the list with 640,808 BTC, yet its dominance has slipped to 60% as more companies join the treasury wave.
🟠企業持幣版圖持續擴張,越來越多上市公司將比特幣納入資產負債表,集中度正在下降。
⚡️ 機構化持幣結構轉向多元,顯示「企業級 FOMO」已開始蔓延。
#比特币#Institutions#Markets#Insight
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