A1. Buying the MATLAB Distributed Computing Engine (MDCE) allows you to do an all-product install. The only requirement is that you install MATLAB, MDCE and Distributed Computing Toolbox (DCT). I doubt you will be able to fit that into a diskless environment, but you can try!

A2. The compiler is for deployment of applications. I would not expect it to make your code faster. To use the MATLAB Distributed Computing Engine (that is the workers on the cluster) you must have a MATLAB running with the Distributed Computing toolbox. So yes, you must be in the MATLAB framework. The tasks you give the workers can include compiled code though.

The confidential thing was a mistake, but we can call it an “Easter Egg”

Doug

First I was wondering if the engine is lightweight enough to run on a harddisk-less node of the cluster (I mean if the node doesn’t actually have a hard disk)

And the second one is,
most of the times if the code is slow I just compile it with mcc and then run the compiled version, most of the times it is faster (Or at least I feel like it is faster), my question is, can I do that with a distributed code (does mcc support distributed computing toolbox) or it should be run inside the MATLAB framework?

By the way the very last second of the video is corrupted and I also really liked that “Confidential” thing on the slides ;)

Thanks for the tutorial I enjoyed watching it