Groups   44 of 99+      julia-users › Memory increase when using parallel processing with Julia 0.4.3 instead of 0.4.0 3 posts by 2 authors      Eduardo Lenz    Mar 9   Hi.  Running the same code with Julia 0.4.3 and with julia 0.4.0, I observed the following memory usage  figure below . The beginning is related to the code running in Julia 0.4.0, then, the process is canceled  memory drops  and the same code is executed with Julia 0.4.3. As one can see in this picture, at each iteration of the algorithm  wich uses an  parallel for  there is a  systematic increase in memory usage. In a latter post I stated that it didn't happen in windows, just Linux, but it is not true, since these examples were performed in a windows machine. I don´t know if it is related to some change in gc  , but I tested  calling gc   after each iteration of the algorithm and it did not changes the observed behaviour.         Páll Haraldsson    Mar 16   Interesting, this  seems  like a bug, since you only did a minor update.  Maybe  this isn't a problem and there is some space-time trade-off  that I would have more expected with a major update . Is the program at least not slower?  I do not recall with Windows, is memory consumption in the Task Manager, really a good indication? Could it be memory that is  allocated , but actually does not slow down at all, is just virtual memory that is not  used , maybe even not initialized?  Is this not a problem without  parallel?  --  Palli.      Eduardo Lenz    Mar 17   Hi.  This issue is being discussed in   https:  github.com JuliaLang julia issues 15467