用多 GPU 在数分钟内运行大规模 UMAP，且不损失精度
Run Massive-Scale UMAP in Minutes Using Multiple GPUs—Without Losing Accuracy
NVIDIA 介绍用多 GPU 加速 UMAP 的方法，可在数分钟内完成大规模降维且不损失精度。UMAP 广泛用于可视化与特征提取，覆盖探索性数据分析、主题建模和单细胞分析等场景，这类工作流常需反复调参重跑，数据集增大后对速度要求更高。
Uniform Manifold Approximation and Projection (UMAP) is a dimensionality reduction technique widely used for visualization and feature extraction. Applications...
Uniform Manifold Approximation and Projection (UMAP) is a dimensionality reduction technique widely used for visualization and feature extraction. Applications range across exploratory data analysis, topic modeling, and single-cell analysis. Many of these workflows are iterative and exploratory, requiring UMAP to be run repeatedly as users analyze their data or tune parameters. As datasets grow…
来源：NVIDIA Developer Blog · developer.nvidia.com