Run Massive-Scale UMAP in Minutes Using Multiple GPUs
Accelerate UMAP with NVIDIA cuML using multiple GPUs for improved efficiency on large datasets.
Uniform Manifold Approximation and Projection (UMAP) is a widely used dimensionality reduction technique for data analysis and feature extraction. By distributing the costly kNN graph construction across multiple GPUs, UMAP significantly reduces training time, enabling engineers to perform faster and more efficient analysis on large datasets.
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