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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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Venture Village Wall 🦄

@venturevillagewall · Post #3601 · 12/20/2024, 04:16 PM

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Weekend Reading for Entrepreneurs Explore this week's top news: 1️⃣ Research on mobile game success probability - Read more2️⃣ Tech trends for 2025 according to Andreessen Horowitz - Find out more3️⃣ Video on David Lieb, creator of Google Photos - Watch here4️⃣ Podcast with Vlad Tenev from Robinhood - Listen in5️⃣ David Kahn's AI predictions for 2025 - Read the article6️⃣ Interview with Rocket Lab CEO Peter Beck - Explore the interview7️⃣ Turning mistakes into success with Flamp.io - Learn how #MobileGames#TechTrends#GooglePhotos#Podcast#AI#RocketLab#StartupSuccess#Sequoia#AndreessenHorowitz#VladTenev#DavidLieb#DavidKahn#PeterBeck#Flamp#YCombinator#SpaceX#Entrepreneurship#Innovation#Research#Investment#Finance