I just submitted an issue: github.com/JuliaLang/julia/issues/16778
>
>
Thanks for everyones input.
Ethan
I've been encountering errors with packages in parallel, even though everything
is happening on one machine (julia -p 4 or -p 3 under ESS). This isn't
necessarily the same issue, but it seems suggestive it's arising at the same
time.
Originally I think the packages/cache were a bit out of
Just synchronized the julia versions to the exact commit number (using `git
checkout 430601c` on my laptop). The problem still persists. I wonder if I
should just open an issue on github and move the conversation there. I just
wanted to make sure I wasn't making an obvious mistake with the
On Friday, June 3, 2016 5:48:24 PM CDT Ethan Anderes wrote:
> I just checked and the package versions are the same (v0.1.8). However, the
> julia versions on my laptop is slightly different from what is on the
> server (Version 0.4.6-pre+37 vrs Version 0.4.6-pre+36). Is that a problem?
Very
So, @everywhere Pkg.build("Dierckx") didn’t help, and Fortran is working
fine on the servers (recall that the code works fine when the workers are
launched from the server with addprocs(2)). However, just to rule out
anything having to do with Fortran I decided to test a few code
That may cause recompilation to happen. Do you also have the Fortran
library installed on all machines? If not,
@everywhere Pkg.build("Dierckx")
may help.
On Friday, June 3, 2016 at 5:48:24 PM UTC-7, Ethan Anderes wrote:
>
> Hi Tim:
>
> I just checked and the package versions are the same
Hi Tim:
I just checked and the package versions are the same (v0.1.8). However, the
julia versions on my laptop is slightly different from what is on the
server (Version 0.4.6-pre+37 vrs Version 0.4.6-pre+36). Is that a problem?
Ethan
On Friday, June 3, 2016 at 1:48:37 PM UTC-7, Tim Holy
Do you have different versions of the package installed on the different
machines?
--Tim
On Friday, June 3, 2016 8:56:39 AM CDT Ethan Anderes wrote:
> I still get an error (see below). Even if it did work, it would still be
> strange that one would need a different syntax when the workers are
I still get an error (see below). Even if it did work, it would still be
strange that one would need a different syntax when the workers are on my
local machine vrs connected to servers with ssh tunnel.
julia> addprocs(
machines,
tunnel=true,
Try `@everywhere using Dierckx`
On Thu, Jun 2, 2016 at 3:49 PM, Ethan Anderes
wrote:
> I’m looking for help setting up a parallel job spread across different
> servers. I would like to use my laptop as the master node. I’m getting
> errors when using packages and I’m not
I’m looking for help setting up a parallel job spread across different
servers. I would like to use my laptop as the master node. I’m getting
errors when using packages and I’m not sure what I’m doing wrong. Any help
would be appreciated
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