ParallelKNN:使用 KD Trees Divide and Conquer 并行实现 KNN 图-源码
并行KNN
使用 KD 树/球树并行实现 KNN 图
该存储库是可扩展机器学习的最终项目。 提供了 4 种解决并行 KNN 问题的方法。
KDTrees with OpenMP：使用 OpenMP 并行化使用 KDTrees 的 KNN 构建
KDTrees with Galois : 使用 Galois 来构造和并行化 KNN 构造，使用 KDTrees
Ball Trees with OpenMP：使用 OpenMP 并行化使用 Ball Trees 的 KNN 构造
KDTrees with Galois : 使用 Galois 来构造和并行化 KNN 构造，使用 KDTrees
所有实验都在 Stampede（TACC 的一部分）上运行。 基线是 KNN 图的蛮力构造。
有关每种方法的详细信息，请参阅报告。 报告和数据集可以在找到
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