TY - JOUR
T1 - bufferkdtree
T2 - a Python library for massive nearest neighbor queries on multi-many-core devices
AU - Gieseke, Fabian Cristian
AU - Oancea, Cosmin Eugen
AU - Igel, Christian
PY - 2017/3/15
Y1 - 2017/3/15
N2 - The bufferkdtree 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.
AB - The bufferkdtree 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.
KW - GPUs
KW - k-d trees
KW - Nearest neighbor queries
KW - OpenCL
KW - Python
UR - http://www.scopus.com/inward/record.url?scp=85008472806&partnerID=8YFLogxK
U2 - 10.1016/j.knosys.2017.01.002
DO - 10.1016/j.knosys.2017.01.002
M3 - Journal article
AN - SCOPUS:85008472806
SN - 0950-7051
VL - 120
SP - 1
EP - 3
JO - Knowledge-Based Systems
JF - Knowledge-Based Systems
ER -