Hi Britton,

What happens when you call yt.enable_parallelism() at the top of the script?

There were some adjustments to the way parallelism works related to YTEP-0019.  See this PR: https://bitbucket.org/yt_analysis/yt/pull-request/729/ytep-0019/diff

Do you have a short test script I can try running over here to confirm the issue?

-Nathan


On Tue, Apr 22, 2014 at 12:20 PM, Britton Smith <brittonsmith@gmail.com> wrote:
Hi all,

I don't recall when I first noticed this, but I'm finding that the parallel_root_only decorator doesn't seem to be working.  A simple test is to run a script that only loads a dataset.  The print_key_parameters function is inside of a parallel_root_only decorator, so all that should only be printed by the root processor, but when I run that script in parallel it is printed by all processors.  I am still looking into this, but so far I have found that printing the value of parallel_capable inside this decorator always gives False even when running in parallel.

Can someone confirm this?  If so, does anyone know what's going on?

Britton

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