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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 #4089 · 02/07/2025, 10:00 AM

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Property Market Thrives on Digital Platforms 📊 A study by РЭУ im. G.V. Plekhanov reveals a surge in property transactions via Циан, with nearly 500,000 families improving their housing conditions in 2024. Digital platforms are revolutionizing real estate, streamlining deals, and saving users time and money. Циан's valuation service received 14.8 million unique requests in 2024 alone. The company's IT sector now accounts for 54% of its revenue, reflecting a 171% increase since 2019. 🔗Read more #RealEstate#Циан#MarketTrends#DigitalTransformation#HousingMarket#PropertyTech#Investment#TechInnovation#RevenueGrowth#UserExperience#CostSavings#Efficiency#BusinessIntelligence#RealEstateTech#DigitalPlatforms#DataAnalysis#MarketResearch#2024Trends#Technology#PropertyEvaluation