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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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@Hasab_2016 · Post #86 · 06/09/2024, 08:50 AM

🗣️#DebateSphere was 🔥🔥🔥🔥🔥 The inaugural edition of Debate Sphere in Bishoftu, Ethiopia kicked off with an intense first round of debates. 20 eager participants, divided into 4 teams, took the stage to tackle pressing issues. The energy in the room was 💯 as the teams delivered their arguments with eloquence and conviction, captivating the enthusiastic 👏 audience. Judges listened intently, evaluating the persuasiveness and clarity of the presentations. Friendly handshakes and camaraderie between the teams exemplified the spirit of intellectual discourse, as they engaged in lively rebuttals and challenged each other's perspectives. 🤝 Can't wait to see what's in store for the next destination #Jimma! 🔜🏆 🔅Round 1 pictures🔅 @safelightcommunity #InspireEmpowerTransform 🔆🔅www.safelightet.org🔅🔆 @SafeLightOfficial 👇JOIN US👇 Telegram | Instagram | LinkedIn | Facebook #DebateSphere#BishoftuDebate#CriticalThinking#SafelightetIntiatives #SDG#Transform2032 #MODEL2053 #Agenda2032