Scout: A GPU-aware system for interactive spatio-temporal data visualization

Harshada Chavan, Mohamed F. Mokbel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This demo presents Scout; a full-fledged interactive data visualization system with native support for spatio-temporal data. Scout utilizes computing power of GPUs to achieve real-time query performance. The key idea behind Scout is a GPU-aware multi-version spatio-temporal index. The indexing and query processing modules of Scout are designed to complement the GPU hardware characteristics. Front end of Scout provides a user interface to submit queries and view results. Scout supports a variety of spatio-temporal queriesrange, k-NN, and join. We use real data sets to demonstrate scalability and important features of Scout.

Original languageEnglish (US)
Title of host publicationSIGMOD 2017 - Proceedings of the 2017 ACM International Conference on Management of Data
PublisherAssociation for Computing Machinery
Pages1691-1694
Number of pages4
ISBN (Electronic)9781450341974
DOIs
StatePublished - May 9 2017
Event2017 ACM SIGMOD International Conference on Management of Data, SIGMOD 2017 - Chicago, United States
Duration: May 14 2017May 19 2017

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
VolumePart F127746
ISSN (Print)0730-8078

Other

Other2017 ACM SIGMOD International Conference on Management of Data, SIGMOD 2017
Country/TerritoryUnited States
CityChicago
Period5/14/175/19/17

Bibliographical note

Funding Information:
This research is supported by NSF grants IIS-0952977, IIS-1218168, IIS-1525953, and CNS-1512877.

Publisher Copyright:
© 2017 ACM.

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