On Wednesday, 13 May 2015 at 03:19:17 UTC, thedeemon wrote:
In case of Python's parallel.Pool() separate processes do the work without any synchronization issues. In case of D's std.parallelism it's just threads inside one process and they do fight for some locks, thus this result.
Okay, so to do something equivalent I would need to use std.process. My next question is how to pass the common data to the sub-processes. In the Python approach I guess this is automatically looked after by pickling serialization. Is there something similar in D? Alternatively, would the use of std.mmfile to temporarily store the common data be a reasonable approach?
