Difference between revisions of "CSC352 Class Page 2010"

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(Class Material)
(Software)
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===Software===
 
===Software===
* Hadoop at Google: http://code.google.com/edu/parallel/tools/hadoopvm/index.html  
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*[http://code.google.com/edu/parallel/tools/hadoopvm/index.html Hadoop at Google]:
 
: Setting up a Hadoop cluster can be an all day job. However, if you want to experiment with the platform right now, [Google] has created a virtual machine image with a preconfigured single node instance of Hadoop
 
: Setting up a Hadoop cluster can be an all day job. However, if you want to experiment with the platform right now, [Google] has created a virtual machine image with a preconfigured single node instance of Hadoop

Revision as of 21:18, 2 December 2009

Python Threads

XGrid Programming

Cloud Computing

References & Bibliography

Parallel Processing/Good background information

Python

XGrid

Cloud Computing

Literature

Class Material

The University of Washington ran an upper-division course on Distributed Computing with MapReduce in Spring 2007. Below you'll find the materials that were used for the class: five lectures in powerpoint format, as well as four lab exercises designed which were completed by students over the duration of the course, using a cluster running Hadoop.

Software

Setting up a Hadoop cluster can be an all day job. However, if you want to experiment with the platform right now, [Google] has created a virtual machine image with a preconfigured single node instance of Hadoop