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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 #3758 · 12/31/2024, 07:00 AM

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2023 Reflections and Initiatives Key takeaways from the past year: Emphasis on founder-side roles, collaborations with dynamic teams, and growth initiatives. Initiated two accelerators: triangle.tg connecting TON to Web3, supporting 11 teams with notable backers like Binance Labs, GSR, and others. Launched Gaming.tg with Anton from Helika.io, focusing on the gaming sector. Significant partnerships emerged, enhancing the value for founders. Currently supporting promising Telegram ecosystem projects, anticipating a return to article writing in 2025. Appreciating the support received and lessons learned. #FounderSide#Web3#TON#Accelerator#Gaming#BinanceLab#GSR#Polychain#DelphiDigital#Blackrock#TriangleTG#GamingTG#Community#Innovations#Telegram#Investments#2023Reflections#CholyLabs#Projects#Support#Partnerships#Leadership