@inproceedings{05b79334da9e42238725ca1431ec1060,
title = "Indexing of Spatiotemporal Trajectories for Efficient Distance Threshold Similarity Searches on the GPU",
abstract = "Applications in many domains search moving object trajectory databases. The distance threshold search finds all trajectories within a given distance of a query trajectory. We develop three GPU distance threshold search implementations that use indexing techniques significantly different from those used in CPU implementations. We determine experimentally under which conditions each approach performs well using one real-world astrophysics dataset and two synthetic datasets. Overall, we find that the GPU is an attractive technology for a broad range of relevant trajectory database scenarios.",
keywords = "Distance threshold similarity search, GPGPU, moving object databases, query optimization",
author = "Michael Gowanlock and Henri Casanova",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 29th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2015 ; Conference date: 25-05-2015 Through 29-05-2015",
year = "2015",
month = jul,
day = "17",
doi = "10.1109/IPDPS.2015.24",
language = "English (US)",
series = "Proceedings - 2015 IEEE 29th International Parallel and Distributed Processing Symposium, IPDPS 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "387--396",
booktitle = "Proceedings - 2015 IEEE 29th International Parallel and Distributed Processing Symposium, IPDPS 2015",
}