• 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