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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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@ChainDoctor · Post #36 · 01/19/2022, 08:13 AM
#Anyswap#MultiChain Urgent notice from Multichai (formerly AnySwap) #WETH , #PERI , #OMT , #WBNB , #MATIC , #AVAX 6 tokens were found to be vulnerable If you approve, you need to connect to here ( https://app.multichain.org/#/approvals ) to cancel. 如果你曾经在anyswap使用过这六个代币跨链，那么请点击https://app.multichain.org/#/approvals ，并取消授权。已经有个人账户被攻击导致资金损失。