Abstract
The rich details of space-time complexity in social science remain largely unexplored because of the challenge of intensities of data and computing. The current space-time simulation and statistics for social science research can only deal with a limited amount of data. We introduce a pilot study about how to deploy the modern accelerator technology and hybrid computer systems to extend the National Institute of Justice-funded Near-repeat calculation, a typical social science application? This pilot study demonstrates that it is promising to leverage high performance computing for solving large-scale space-time interaction problems, which has long been a challenging statistical issue for spatiotemporally integrated social science.
Original language | English (US) |
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Title of host publication | Modern accelerator technologies for geographic information science |
Publisher | Springer US |
Pages | 215-226 |
Number of pages | 12 |
Volume | 9781461487456 |
ISBN (Electronic) | 9781461487456 |
ISBN (Print) | 1461487447, 9781461487449 |
DOIs | |
State | Published - Aug 1 2013 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- General Computer Science
Keywords
- High performance computing
- Near-repeat
- Social science
- Space-time complexity
- Spatiotemporally integrated social science