Create a cluster of co-workers' Windows 7 PCs for parallel processing in R?

Question

I am running the termstrc yield curve analysis package in R across 10 years of daily bond price data for 5 different countries. This is highly compute intensive, it takes 32

Answer 1

Perhaps not the answer you were looking for, but - this is one of those situations where an alternative is sooo much better that it's hard to ignore.

The cost of AWS clusters is ridiculously low (my emphasis) for exactly these types of computing problems. You pay only for what you use. I can guarantee you that you will save money (at the very least in opportunity costs) by not spending the time trying to convert 12 windows machines into a cluster. For your purposes, you could probably even do this for free. (IIRC, they still offer free computing time on clusters)

References:

• Using AWS for parallel processing with R
• http://blog.revolutionanalytics.com/2011/01/run-r-in-parallel-on-a-hadoop-cluster-with-aws-in-15-minutes.html
• http://code.google.com/p/segue/
• http://www.vcasmo.com/video/drewconway/8468
• http://aws.amazon.com/ec2/instance-types/
• http://aws.amazon.com/ec2/pricing/

Some of these instances are so powerful you probably wouldn't even need to figure out how to setup your work on a cluster (given your current description). As you can see from the references costs are ridiculously low, ranging from 1-4$ per hour of compute time.