feat(rust/sedona-spatial-join-gpu): Add GPU-accelerated spatial join support #465
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…support This commit introduces GPU-accelerated spatial join capabilities to SedonaDB, enabling significant performance improvements for large-scale spatial join operations. Key changes: - Add new `sedona-spatial-join-gpu` crate that provides GPU-accelerated spatial join execution using CUDA via the `sedona-libgpuspatial` library. - Implement `GpuSpatialJoinExec` execution plan with build/probe phases that efficiently handles partitioned data by sharing build-side data across probes. - Add GPU backend abstraction (`GpuBackend`) for geometry data transfer and spatial predicate evaluation on GPU. - Extend the spatial join optimizer to automatically select GPU execution when available and beneficial, with configurable thresholds and fallback to CPU. - Add configuration options in `SedonaOptions` for GPU spatial join settings including enable/disable, row thresholds, and CPU fallback behavior. - Include comprehensive benchmarks and functional tests for GPU spatial join correctness validation against CPU reference implementations.
pwrliang
reviewed
Dec 19, 2025
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This commit introduces GPU-accelerated spatial join capabilities to SedonaDB, enabling significant performance improvements for large-scale spatial join operations.
Key changes:
sedona-spatial-join-gpucrate that provides GPU-accelerated spatial join execution using CUDA via thesedona-libgpuspatiallibrary.GpuSpatialJoinExecexecution plan with build/probe phases that efficiently handles partitioned data by sharing build-side data across probes.GpuBackend) for geometry data transfer and spatial predicate evaluation on GPU.SedonaOptionsfor GPU spatial join settings including enable/disable, row thresholds, and CPU fallback behavior.