[SciPy-User] Fitting procedure to take advantage of cluster

[J. David Lee]

Hello,

I'm attempting to perform a fit of a model function's output to some 
measured data. The model has around 12 parameters, and takes tens of 
minutes to run. I have access to a cluster with several thousand 
processors that can run the simulations in parallel, so I'm wondering if 
there are any algorithms out there that I can use to leverage this 
computing power to efficiently solve my problem - that is, besides grid 
searches or Monte-Carlo methods.

Thanks for your help,

David