<story><title>Fast Database Emerges from MIT Class, GPUs and Student’s Invention</title><url>http://data-informed.com/fast-database-emerges-from-mit-class-gpus-and-students-invention/</url></story><parent_chain></parent_chain><comment><author>tmostak</author><text>Hi all, MapD creator here - I&apos;d be happy to answer any questions.  The 700K figure was done by rendering polygon files to textures and using them as lookup tables - it ran pretty fast on the CPU so its not all the GPU there.  However if a point falls on a border - perhaps 1% of cases for say a medium-sized raster of the US - you have to do a geometric lookup as usual - which I didn&apos;t benchmark.  Probably better would be to do some tiled implementation - basically something like textured quad-trees.&lt;p&gt;And as I told the journalist I wasn&apos;t sure if I did the PostGIS indexing right - I feel like the quote got taken a little out of context - but the speedups were &quot;high&quot; to &quot;quite high&quot; regardless.</text></comment>
<story><title>Fast Database Emerges from MIT Class, GPUs and Student’s Invention</title><url>http://data-informed.com/fast-database-emerges-from-mit-class-gpus-and-students-invention/</url></story><parent_chain></parent_chain><comment><author>tmostak</author><text>(MapD creator again) - Also, check out &lt;a href=&quot;http://worldmap.harvard.edu/tweetmap&quot; rel=&quot;nofollow&quot;&gt;http://worldmap.harvard.edu/tweetmap&lt;/a&gt; for a live demo - even though its been a bit buggy under Slashdot load and I had to disable GetFeatureInfo requests (i.e. click to get tweet).  Also see here for a demo of a new interface I&apos;m messing with that does animation - &lt;a href=&quot;http://www.youtube.com/watch?v=Foo8pYbSPv4&quot; rel=&quot;nofollow&quot;&gt;http://www.youtube.com/watch?v=Foo8pYbSPv4&lt;/a&gt; .</text></comment>