The short answer is that we attempted to use the CPU as fully as possible across all frameworks. So for those that had tunable parallelism, we used the settings that seemed best given the number of cores available on each platform (2 for EC2 Large, 8 for i7).

We posted the deployment approach for each framework to the Github page.