cgtuebingen/ggnn
GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
Builds approximate nearest-neighbor search graphs on CUDA GPUs using a graph-based traversal algorithm, scaling to billion-scale datasets across multiple GPUs via sharding. Supports zero-copy data exchange with PyTorch tensors and numpy arrays, and exposes both C++20/CUDA and Python APIs with configurable distance measures (Euclidean, cosine) and tunable search parameters for accuracy-speed tradeoffs.
170 stars. No commits in the last 6 months.
Stars
170
Forks
27
Language
Cuda
License
Apache-2.0
Category
Last pushed
Feb 11, 2025
Commits (30d)
0
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