Designing algorithms for Map Reduce
Since the emerging of Hadoop implementation, I have been trying to morph existing algorithms from various areas into the map/reduce model. The result is pretty encouraging and I've found Map/Reduce is applicable in a wide spectrum of application scenarios. So I want to write down my findings but then found the scope is too broad and also I haven't spent enough time to explore different problem dom
Cloud9: A MapReduce Library for Hadoop
This page describes the code used to run experiments in the following paper: Jimmy Lin and Michael Schatz. Design Patterns for Efficient Graph Algorithms in MapReduce. Proceedings of the 2010 Workshop on Mining and Learning with Graphs Workshop (MLG-2010), July 2010, Washington, D.C. There's code in Cloud9 that illustrates three different design patterns for graph algorithms in MapReduce using Pag
Mapreduce & Hadoop Algorithms in Academic Papers (3rd update) | atbrox
Mapreduce & Hadoop Algorithms in Academic Papers (3rd update) Atbrox is startup company providing technology and services for Search and Mapreduce/Hadoop. Our background is from Google, IBM and research. Contact us if you need help with algorithms for mapreduce This posting is the May 2010 update to the similar posting from February 2010, with 30 new papers compared to the prior posting, new ones
Mapreduce & Hadoop Algorithms in Academic Papers (updated) | atbrox
The newest and most up-to-date version (May 2010) this blog post is available at http://mapreducebook.org Atbrox is startup company providing technology and services for Search and Mapreduce/Hadoop. Our background is from from Google, IBM and Research. This posting is an update to the similar posting from October 2009, roughly doubling the numbers of papers from the previous posting, the new ones
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Map-Reduce for Machine Learning on Multicore
http://www.umiacs.umd.edu/~jimmylin/cloud-2010-Spring/session5-slides.pdf
