DocumentCode
723691
Title
Indexing of Spatiotemporal Trajectories for Efficient Distance Threshold Similarity Searches on the GPU
Author
Gowanlock, Michael ; Casanova, Henri
Author_Institution
Inf. & Comput. Sci. Dept., Univ. of Hawai`i at Manoa, Honolulu, HI, USA
fYear
2015
fDate
25-29 May 2015
Firstpage
387
Lastpage
396
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
database indexing; graphics processing units; object-oriented databases; query processing; visual databases; GPU distance threshold search; distance threshold similarity searches; graphics processing unit; indexing techniques; moving object trajectory databases; query trajectory; real-world astrophysics dataset; spatiotemporal trajectories; synthetic datasets; Arrays; Graphics processing units; Indexing; Spatiotemporal phenomena; Trajectory; Distance threshold similarity search; GPGPU; moving object databases; query optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Symposium (IPDPS), 2015 IEEE International
Conference_Location
Hyderabad
ISSN
1530-2075
Type
conf
DOI
10.1109/IPDPS.2015.24
Filename
7161527
Link To Document