Hi Jason, I don't really understand what you are trying to do but the problem is that the array a is not read-only in this context. >From the manual: Using “outside” variables in parallel loops is perfectly reasonable if the variables are read-only.
See the parallel section of the manual: http://julia.readthedocs.org/en/latest/manual/parallel-computing/ The way you are using a is not amenable to parallelization as you have a clear data dependency for each iteration. Best, Jake On Wednesday, March 5, 2014 2:51:11 PM UTC-5, Jason Solack wrote: > > i'm sorry, yes i did! > > On Wednesday, March 5, 2014 2:49:11 PM UTC-5, Jake Bolewski wrote: >> >> Is j = 1000000 a typo (did you mean 1:1000000)? >> >> >> On Wednesday, March 5, 2014 2:41:51 PM UTC-5, Jason Solack wrote: >>> >>> i'm trying to check out how Julia handles parallel for loops and i'm >>> getting some errors >>> >>> i'm not sure if it's because i'm working with a single array and i can't >>> append to this in parallel, so i thought i'd ask >>> >>> nprocs() >>> addprocs(6) >>> >>> tic() >>> onPass = 1 >>> a = Array(Int64, 0) >>> @parallel for i = 1:100000, j=10000 >>> a = [a, i*j] >>> onPass = onPass + 1 >>> if onPass % 10000 == 0 >>> println("on pass ", onPass) >>> end >>> end >>> toc() >>> >>> is this not possible in parallel? >>> >>> Thank you again for all your answers! >>> >>> jason >>> >>
