The out of code data processing is something that was sorely needed, and I was wishing for this for a long time. One of the big drawbacks of Mathematica for da

The out of code data processing is something that was sorely needed, and I was wishing for this for a long time. One of the big drawbacks of Mathematica for data processing was that it's only convenient to use if all the data can be read into memory. What you're saying about distributing a computation on a cluster sounds very interesting. I used Mathematica for a hybrid Mathematica/C++ calculation (LibraryLink) where the complexity was handled by Mathematica and the (simple) heavy lifting by C++. I used the standard parallel tools to run it on a cluster, which means that communication was done through MathLink. I never went above ~70 CPUs, but people say that problems start to appear above that (too many MathLink connection): http://mathematica.stackexchange.com/questions/20356/mathematica-parellelization-on-hpc#comment64440_20362 http://mathematica.stackexchange.com/questions/20356/mathema... Another possible problem with my solution (LibraryLink, then Mma parallelization) was that it required a Mma license for as many kernels as I was running, even though most of them were only running the C++ code. But that's easy to fix on WRI's side.