#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
🕵️#MEGA Bubblemaps: MEGA tokens were distributed among 8,360 addresses, with approximately 50% of addresses still holding all the tokens. About 40% of addresses have sold them completely, and around 10% of addresses have sold only a portion of the coins. link
Guillaume Faye left us on March 6, 2019, at the age of 69. He was a unique figure who leaves behind an extensive body of work. Like the ancient Greek heroes of old, he will achieve immortality if we continue to share his ideas. Guillaume laid the foundations—now it is up to us, dear comrades, to build the sanctuary of European civilization!
#MEGA
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@MegaUploadXbot
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