I am somewhat confused. When reading the blog post on:
http://www.juliabloggers.com/using-julias-type-system-for-hidden-performance-gains/ the first benchmark says that: "*Notice that the vector of matrices is 300x slower on an i7 computer.*" Note that the Matrices in this vector (`test2()`) are holding elements of type float, while for the other (`test1()`, `test3()`) it is ints. Switching Float to Int in `test2()` makes the vector of arrays faster than `test1()` and `test2()`. Which is consistent with the findings of the same author in his original blog post. http://www.stochasticlifestyle.com/using-julias-type-system-hidden-performance-chunkedarrays-growablearrays-ellipsisnotation/ <http://www.stochasticlifestyle.com/using-julias-type-system-hidden-performance-chunkedarrays-growablearrays-ellipsisnotation/> sooo...? :) this is on julia 0.4.5 for my own benchmarks, which agree with the results from the second link.
