I suggest looking at Dispy - the distributed computation python module.
To run a program on a number of Raspberry Pi's (nodes) from a PC (server - assume IP is
Install an operating system on each RasPi
Attach each RasPi to your network. Find the IP (if dynamic), or set up static IPs.
(Let's assume that you have three nodes, and their IPs are
Set up Python (if not already), install
dispy, then run
dispynode.py -i 192.168.0.100 on each RasPi. This will tell dispynode to receive job information from the server.
On the PC (the server), install
dispy, then run the following python code:
cluster = dispy.JobCluster('/some/program', nodes=['192.168.0.50', '192.168.0.51', '192.168.0.52'])
You can also replace
/some/program with a python function - e.g.
You can also include dependencies such as python objects, modules and files (which
dispy will transfer to each node) by adding
depends=[ClassA, moduleB, 'file1']