Increase chunk sizes to improve performance and parallelism

[itamarst]

1. Processing data in larger chunk sizes can reduce overhead of all the little Python function calls for each chunk.
2. Larger chunk sizes for functions that release GIL add additional opportunities for utilizing parallelism by shifting to a thread pool. Larger chunks of work are more efficient for this scheme.