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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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🦅 [ perspective ix ]

@perspectiveix · Post #1563 · 09/25/2018, 08:00 AM

​​💰Gig Economy Workers Are Earning Half What They Did Five Years Ago More people are working for ride-sharing and delivery companies but on average they’re making less. On average, drivers who transport people (#Uber or #Lyft) or things (#UberEats or #Postmates) through an app made 53 percent less in 2017 than they did in 2013, according to a new study by the JPMorgan Chase Institute. The average monthly payments to those who worked for a transportation app in a given month declined to $783 from $1,469. Meanwhile, people working for leasing apps — #Airbnb, Turo, Parklee and other apps that let you rent assets like your home, car or parking space — saw their incomes from those platforms rise 69 percent to $1,736 on average. This is happening as online gig work has become more popular, thanks in large part to the growth in the number transportation jobs. 🚀@PerspectiveIX via Recode.