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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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djangoproject

@djangoproject · Post #195 · 11/08/2016, 03:18 AM

http://stackoverflow.com/questions/29269370/how-to-properly-create-and-run-concurrent-tasks-using-pythons-asyncio-module In the case of trying to concurrently run two looping Tasks, I've noticed that unless the Task has an internal await expression, it will get stuck in the while loop, effectively blocking other tasks from running (much like a normal while loop). However, as soon the Tasks have to wait--even for just a fraction of a second--they seem to run concurrently without an issue. Thus, the await statements seem to provide the event loop with a foothold for switching back and forth between the tasks, giving the effect of #concurrency. Example output with internal await: running async test ...#boo 0 ...#baa 0 ...boo 1 ...baa 1 ...boo 2 ...baa 2

cosplayupload

@cosplayuploadtest2 · Post #102722 · 03/23/2025, 03:37 AM

Title: Natsumi_Ikema_池間夏海,_デジタル限定_YJ_PHOTO_BOO_「なつみ」 Authors: #None Tags: #None#Natsumi_Ikema_池間夏海#デジタル限定_YJ_PHOTO_BOOK#Natsumi#Ikema#池間夏海#デジタル限定 #YJ#PHOTO#BOO #「なつみ」 recommendation: None TelegraphLinks:page-0-33