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Using GPU-acceleration to Interact with Geotemporal Data at Planet-Scale

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Logo of Open Source Geospatial Foundation (OSGeo)Open Source Geospatial Foundation (OSGeo)
 Williams, Aaron

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Using GPU-acceleration to Interact with Geotemporal Data at Planet-Scale
Alternative Title
Using GPU-acceleration to Interact with Open Street Map at Planet-Scale
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295
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
In this keynote, we’ll explore the explosive growth in quantity of geospatial data, and how this is fueling the need to more frequently join geospatial data with traditional data. We’ll explain how those new scale requirements demand a massive improvement in speed, and how GPUs can be used to accelerate the querying of geospatial data using an open source in-GPU-memory SQL database. Finally, we will demonstrate interactive analysis of the entire, global Open Street Map dataset as an example of what is now possible.
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Transcript: English(auto-generated)