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cuTile Python is a new programming tool from NVIDIA that lets you write GPU programs in Python more easily and efficiently. It uses a tile-based model, where you work with chunks of data called tiles, making your code portable across different NVIDIA GPUs without needing to rewrite it for each hardware generation. cuTile automatically uses advanced GPU features like tensor cores and memory accelerators, so you get high performance without complex coding. You can install it via pip, and it requires CUDA Toolkit 13.1+ and Python 3.10+. This helps you develop faster, future-proof GPU applications with less effort.

https://github.com/NVIDIA/cutile-python
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You can access a free, detailed global dataset called the Global Building Atlas, which includes 2D building shapes, heights, and simple 3D models (LoD1) for 2.75 billion buildings worldwide, including areas often missing in other maps like Africa and South America. This data is very accurate, with a fine 3x3 meter resolution, and can be used in GIS software or downloaded fully. It helps with urban planning, disaster risk assessment, climate adaptation, and monitoring sustainable development goals by showing where people live and how cities grow. The dataset and related code are openly available for research and practical use.

https://github.com/zhu-xlab/GlobalBuildingAtlas