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 :
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