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• W2289898635 abstract "People and things become mobile sensors that converge to our daily life. This has unwittingly collected humongous of time series of data with location. People are finding ways to turn this raw data into valuable information as a distinguished business analytic. Importantly, the demand of speedy computation with an appealing visualization is crucial to success. Thus, it reveals the potential economic benefits and becomes an overwhelming new research area that requiring sophisticated mechanisms and technologies to reach the demand. Over the past decade, there have attempts of using accelerators along with multicore CPUs in boosting large-scale data computation. We proposed an emerging SQL-like GPU query accelerator, Galactic a DB. In addition, we extended it to have the geo-spatial compute capabilities. The query operation executes parallelly with drawing support from a high performance and energy efficient NVIDIA Tesla technology. Our result has shown the significant speedup by using Galactic a DB." @default.
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• W2289898635 date "2015-10-01" @default.
• W2289898635 modified "2023-09-23" @default.
• W2289898635 title "A GPU Query Accelerator for Geospatial Coordinates Computation" @default.
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• W2289898635 doi "https://doi.org/10.1109/icccri.2015.26" @default.
• W2289898635 hasPublicationYear "2015" @default.
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