#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
#typescript#ai#cli#summarize#typescript
Summarize is a fast tool for summarizing URLs, PDFs, images, audio/video, YouTube, and podcasts via Chrome Side Panel (with chat and history), Firefox Sidebar, or CLI. Install the extension from Chrome Web Store, add the local daemon with `npm i -g @steipete/summarize` and `summarize daemon install --token <TOKEN>`, then get one-click summaries, YouTube slides with OCR/timestamps, streaming Markdown, and media transcription. It saves time by quickly digesting long content so you focus on key insights without reading everything.
https://github.com/steipete/summarize
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