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Source channel @githubtrending · Post #14985 · Jul 22

#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

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@revheadcrypto · Post #642 · 11/17/2024, 09:21 AM

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🚀Bugatti Mistral Sets New Speed Record for Roadsters!🚀 The stunning hypercar with an open top has achieved an incredible speed of 453.91 km/h on the ATP track in Papenburg, Germany! 🇩🇪🏁 Behind the wheel was none other than Andy Wallace, Bugatti's official driver and winner of the 24 Hours of Le Mans! 🏆 This remarkable feat surpasses Bugatti's previous record set in 2013 with the Veyron Grand Sport Vitesse, which reached 408.8 km/h. The title was briefly held by the Hennessey Venom GT Spyder at 427 km/h. The Mistral is powered by an astonishing 8.0-liter W16 engine with four turbochargers, delivering a mind-blowing 1600 hp! 🔥💨 #BugattiMistral#SpeedRecord#Hypercar#W16#AndyWallace#CarEnthusiast#LuxuryCars#AutomotiveExcellence#SpeedDemon#RecordBreaker#Auto

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