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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.

After having a look at the code on github it looks like they did set up multi processes/threads to really test the scalability on these platforms. That's really impressive, way beyond the single thread experiment I would have anticipated something like this doing! Wow!

We attempted to take advantage of threading/multiple-processes as best we could (see the nodejs code for an example of using the cluster module). But we suspect there are additional areas of improvement here.