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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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@ZIGChain · Post #29 · 12/19/2024, 05:10 PM
From an idea to a platform that’s changing lives. ✨ Co-Founder @brbordallo shares the story behind Zignaly and his vision for democratizing wealth generation for everyone. 🌍 🎥 Watch the story unfold: #Zignaly#WealthInMotion#Crypto
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@ZIGChain · Post #19 · 10/20/2024, 01:09 PM
📢BURN INCOMING📢 It's time to buyback & burn #ZIG🔥🔥! 8th Monthly #ZIG buyback & burn will take place on 6th January and It will be the biggest monthly burn to date! #Zignaly#ZIG#Burn
@ZIGChain · Post #30 · 12/23/2024, 08:10 PM
A $50 gift for YOU this Holiday Season 🎁 How:🤔 1️⃣ Sign up & complete KYC before Jan 1st. 2️⃣ Deposit funds—no minimum requirement. 3️⃣ Invest in a service and make $50 in profits by April 30th. 💵 And just like that, $50 is YOURS. Start Now: https://bit.ly/3BxD07z #Zignaly#WealthInMotion#WealthGeneration#Crypto