Create python util that tracks mean and peak memory usage

[IronOxidizer]

See ps_mem on how to implement this:

https://raw.githubusercontent.com/pixelb/ps_mem/master/ps_mem.py

https://github.com/pixelb/ps_mem

Use pmap to see scalability when processes reuse shared libs in memory for overall all reduced memory usage compared to static compilation.

https://unix.stackexchange.com/questions/116327/loading-of-shared-libraries-and-ram-usage

[IronOxidizer]

This is worked around by using docker stats to more accurately get memory usage.