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cluster:174 [2018/08/27 14:18]
hmeij07
cluster:174 [2018/08/28 08:38] (current)
hmeij07
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 ==== SQL on GPU ==== ==== SQL on GPU ====
  
-MapD built the first ever open source SQL engine to harness GPU computing for analytics. Designed for maximum performance, the MapD SQL engine dynamically compiles SQL to run across multiple GPUs and CPUs.+MapD built the first ever open source SQL engine to harness GPU computing for analytics. Designed for maximum performance, the MapD SQL engine dynamically compiles SQL to run across multiple GPUs and CPUs. Massively parallel database servers.
  
   * http://www.mapd.com   * http://www.mapd.com
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 ** Browser ** ** Browser **
  
-Log into one of the tails like petal, swallowtail or cottontail2 preferably, and with x11-forwarding enabled+Log into one of the tails like petaltail, swallowtail or cottontail2 preferably, and with x11-forwarding enabled go to port 9092 of node ''n37'' and create a dashboard. Use the "data" subnet (10.10) eth1. 
 + 
 +  * http://n37-eth1:9092
  
-  * http://10.10.102.47:9092 
   - Click New Dashboard.   - Click New Dashboard.
   - Click Add Chart.   - Click Add Chart.
   - Click SCATTER.   - Click SCATTER.
   - Click Add Data Source.   - Click Add Data Source.
-  - Choose the flights_2008_10k table as the data source.+  - Choose the flights_2008_7M table as the data source.
   - Click X Axis +Add Measure.   - Click X Axis +Add Measure.
-  - Choose depdelay.+  - Choose depdelay. (departure delay)
   - Click Y Axis +Add Measure.   - Click Y Axis +Add Measure.
-  - Choose arrdelay.+  - Choose arrdelay. (arrival delay)
  
-7 million records, amazingly fast I mean  like < 50 ms. There are pie, bar, stacked bar, bubble etc charts and point maps or chloropleth maps. A SQL editor.  And I do not even observe a blip on gpu utilization.+7 million records, amazingly fastI mean  like < 50 ms (milliseconds). There are pie, bar, stacked bar, bubble etc charts and point maps or chloropleth maps. A SQL editor.  And I do not even observe a blip on gpu utilization. Each of these K20 nodes still has 7 drive bays available which would allow for a large database storage platform if we had a mapd project.
  
 {{ :cluster:dep-arr-scatterplot.png?nolink&400 |}} {{ :cluster:dep-arr-scatterplot.png?nolink&400 |}}
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   * https://www.mapd.com/docs/latest/3_mapdql.html   * https://www.mapd.com/docs/latest/3_mapdql.html
-  * can be scripted too+  * can be scripted using mapdql
  
 <code> <code>
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 </code> </code>
  
 +  * https://www.mapd.com/docs/latest/4_centos7-yum-gpu-ce-recipe.html
  
 \\ \\
 **[[cluster:0|Back]]** **[[cluster:0|Back]]**
cluster/174.1535393936.txt.gz · Last modified: 2018/08/27 14:18 by hmeij07