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bufferkdtree : A Python library for massive nearest neighbor queries on multi-many-core devices

机译:bufferkdtree:用于在多核设备上进行大规模最近邻居查询的Python库

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The buff erkdtree package is an open-source software that provides an efficient implementation for processing huge amounts of nearest neighbor queries in Euclidean spaces of moderate dimensionality. Its underlying implementation resorts to a variant of the classical k-d tree data structure, called buffer k-d tree, which can be used to efficiently perform bulk nearest neighbor searches on modern many-core devices. The package, which is based on Python, C, and OpenCL, is made publicly available online at https://github.com/gieseke/bufferkdtree under the GPLv2 license. (C) 2017 Elsevier B.V. All rights reserved.
机译:buff erkdtree软件包是一个开源软件,为在中等维数的欧几里得空间中处理大量最近邻查询提供了有效的实现。它的底层实现诉诸于经典k-d树数据结构的一种变体,称为缓冲区k-d树,可用于在现代多核设备上有效地执行批量最近邻居搜索。该软件包基于Python,C和OpenCL,已通过GPLv2许可在https://github.com/gieseke/bufferkdtree在线公开提供。 (C)2017 Elsevier B.V.保留所有权利。

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