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   * [[http://www.psgtech.edu/|PSG Tech, Coimbatore, India]]
    * Multiple alignment of protein sequences helps to determine evolutionary 
linkages and to predict molecular structures. The dynamic nature of the 
algorithm coupled with data and compute parallelism of hadoop data grids 
improves the accuracy and speed of sequence alignment. Parallelism at the 
sequence and block level reduces the time complexity of MSA problems. Scalable 
nature of Hadoop makes it apt to solve large scale alignment problems.
    * Our cluster size varies from 5 to 10 nodes. Cluster nodes vary from 2950 
Quad Core Rack Server, with 2x6MB Cache and 4 x 500 GB SATA Hard Drive to E7200 
/ E7400 processors with 4 GB RAM and 160 GB HDD.
+   * [[http://www.personalchecksfast.com/|Personal Checks]]: Best financial 
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  = Q =
   * [[http://www.quantcast.com/|Quantcast]]
@@ -579, +580 @@

    * 10 node cluster (Dual-Core AMD Opteron 2210, 4GB RAM, 1TB/node storage)
    * Run Naive Bayes classifiers in parallel over crawl data to discover event 
information
  
- ''When applicable, please include details about your cluster hardware and 
size.''
+ ''When applicable, please include details about your cluster hardware and 
size.'' Personal checks<>
  

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