18433

Full Speed Ahead: 3D Spatial Database Acceleration with GPUs

Lucas C. Villa Real, Bruno Silva
IBM Research
arXiv:1808.09571 [cs.DC], (28 Aug 2018)

@article{real2018full,

   title={Full Speed Ahead: 3D Spatial Database Acceleration with GPUs},

   author={Real, Lucas C. Villa and Silva, Bruno},

   year={2018},

   month={aug},

   archivePrefix={"arXiv"},

   primaryClass={cs.DC}

}

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Many industries rely on visual insights to support decision- making processes in their businesses. In mining, the analysis of drills and geological shapes, represented as 3D geometries, is an important tool to assist geologists on the search for new ore deposits. Aeronautics manipulate high-resolution geometries when designing a new aircraft aided by the numerical simulation of aerodynamics. In common, these industries require scalable databases that compute spatial relationships and measurements so that decision making can be conducted without lags. However, as we show in this study, most database systems either lack support for handling 3D geometries or show poor performance when given a sheer volume of data to work with. This paper presents a pluggable acceleration engine for spatial database systems that can improve the performance of spatial operations by more than 3000x through GPU offloading. We focus on the design and evaluation of our plug-in for the PostgreSQL database system.
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