Is it possible to share the relevant portions of the call here?
On Sun, Feb 23, 2014 at 11:44 AM, Micah McClimans <[email protected]>wrote: > Thank you, it turns out my problem was coming from an @everywhere macro, > not from pmap. > > However, and I hope it is not bad practice continuing in this same thread, > but now I'm seeing that pmap is not utilizing all of the workers available > for the process, in fact it is using only one, despite having 8 local and 8 > remote workers available. What sort of problems could be causing this > behavior? > > > On Saturday, February 22, 2014 6:32:18 PM UTC-5, Stefan Karpinski wrote: > >> If there are other processors, pmap doesn't use the head node by default: >> >> julia> addprocs(2) >> 2-element Array{Any,1}: >> 2 >> 3 >> >> julia> pmap(x->myid(), 1:10) >> 10-element Array{Any,1}: >> 2 >> 3 >> 3 >> 2 >> 2 >> 3 >> 2 >> 3 >> 2 >> 3 >> >> >> On Sat, Feb 22, 2014 at 5:50 PM, Micah McClimans <[email protected]>wrote: >> >>> I am working on distributing a compute intensive task over a cluster in >>> Julia, using the pmap function. However, for several reasons I would like >>> to avoid having the master node used in the computation- is there a way to >>> accomplish this using the built in keyword, or will I need to rewrite pmap? >>> >> >>
