Hi guys,

I've been working hard on the ART frontend. Lately, I'm to the point where I'm playing around with more complex datasets that are taking much longer to project - so I'd really like to to start using the parallelization engines. I've tried Sam's workshop parallelization demos, and they all work. But launching with the ART frontend (http://paste.yt-project.org/show/2152/) spawns many independent processes which evidently are not actually splitting the projection job, but still taking up lots of processors. 

My mpi installation  works:
yt : [INFO     ] 2012-02-07 18:12:28,207 Global parallel computation enabled: 0 / 8yt : [INFO     ] 2012-02-07 18:12:28,207 Global parallel computation enabled: 2 / 8
yt : [INFO     ] 2012-02-07 18:12:28,208 Global parallel computation enabled: 1 / 8
yt : [INFO     ] 2012-02-07 18:12:28,208 Global parallel computation enabled: 6 / 8
yt : [INFO     ] 2012-02-07 18:12:28,208 Global parallel computation enabled: 3 / 8
yt : [INFO     ] 2012-02-07 18:12:28,208 Global parallel computation enabled: 4 / 8
yt : [INFO     ] 2012-02-07 18:12:28,208 Global parallel computation enabled: 5 / 8yt : [INFO     ] 2012-02-07 18:12:28,209 Global parallel computation enabled: 7 / 8

But the script is just run 8 times, not any faster.

What am I missing here? 

Many thanks!
chris