Scalable near-repeat and event chain calculations over heterogeneous computer architecture and systems

Xinyue Ye, Xuan Shi, Zhong Chen

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

As a case of space–time interaction, near-repeat calculation indicates that when an event takes place at a certain location, its immediate geographical surroundings would face an increased risk of experiencing subsequent events within a fairly short period of time. This paper presents an exploratory study that extends the investigation of the near-repeat phenomena to a series of space–time interaction, namely event chain calculation. Existing near-repeat tools can only deal with a limited amount of data due to computation constraints, let alone the event chain analysis. By deploying the modern accelerator technology and hybrid computer systems, this study demonstrates that large-scale near-repeat calculation or event chain analysis can be partially resolved through high-performance computing solutions to advance such a challenging statistical problem in both spatial analysis and crime geography.

Original languageEnglish (US)
Pages (from-to)191-203
Number of pages13
JournalBig Earth Data
Volume1
Issue number1-2
DOIs
StatePublished - Dec 22 2017
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computers in Earth Sciences
  • Computer Science Applications

Keywords

  • Parallel and high-performance computing
  • crime analysis
  • event chain analysis
  • near-repeat

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