We present interactive data-driven compute overlays for native and web-based 3D geographic map applications based on WebGPU. Our data-driven overlays are generated in a multi-step compute workflow from multiple data sources on the GPU. We demonstrate their potential by showing results from snow cover and avalanche simulations, where simulation parameters can be adjusted interactively and results are visualized instantly. Benchmarks show that our approach can compute large-scale avalanche simulations in milliseconds to seconds, depending on the size of the terrain and the simulation parameters, which is multiple orders of magnitude faster than a state-of-the-art Python implementation.

翻译：我们提出了一种基于WebGPU的、面向原生及Web端三维地理地图应用的交互式数据驱动计算覆盖层。我们的数据驱动覆盖层通过GPU上多数据源的多步骤计算工作流生成。我们通过展示积雪覆盖与雪崩模拟的结果来证明其潜力，其中模拟参数可交互式调整，结果可即时可视化。基准测试表明，我们的方法能够在毫秒到秒级时间内完成大规模雪崩模拟，具体取决于地形尺寸与模拟参数，这比当前最先进的Python实现快数个数量级。