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   * [http://www.weblab.infosci.cornell.edu/ Cornell University Web Lab]
    * Generating web graphs on 100 nodes (dual 2.4GHz Xeon Processor, 2 GB RAM, 
72GB Hard Drive)
+ 
+  * [http://www.systems.ethz.ch/education/courses/hs08/map-reduce/ ETH Zurich 
Systems Group]
+   * We are using Hadoop in a course that we are currently teaching: 
"Massively Parallel Data Analysis with MapReduce". The course projects are 
based on real use-cases from biological data analysis.
+   * Cluster hardware: 16 x (Quad-core Intel Xeon, 8GB RAM, 1.5 TB Hard-Disk)
  
   * [http://www.eyealike.com/ Eyealike] - Visual Media Search Platform
    * Facial similarity and recognition across large datasets.

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