#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
Bitcoin on #Bithumb suddenly dropped, trading over 10% below other markets.
Reports say a staff mistake during an airdrop sent 2,000 $BTC($133M) instead of a small KRW reward.
Some users sold it right away, causing the price to drop fast.
JUST IN : 💰🚨Bitcoin on #Bithumb suddenly dropped, trading over 10% below other markets.
Reports say a staff mistake during an airdrop sent 2,000 $BTC($133M) instead of a small KRW reward.
Some users sold it right away, causing the price to drop fast.
➖➖➖➖➖➖➖➖➖
📣@cryptonewstel
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