Great work! I'm really happy to see this make it into the primary trunk.
I'd like to encourage people to try this out, particularly on large datasets, and write to the list or Sam if you run into problems. This is a big increase in functionality, and everyone wants to make sure it works out alright.
I've been using the volume rendering capabilities of yt quite extensively, in kind of an unconventional way, to calculate off-axis average values, and I'm very excited about the performance improvements that this new subsystem will bring.
On Tue, Nov 9, 2010 at 5:12 PM, Sam Skillman email@example.com wrote:
Hi all, I just wanted to announce that the new kd-Tree rendering framework is now in the 'yt' branch of the repository. There are a couple things I wanted to point to if you are interested. The changeset itself: http://yt.enzotools.org/changeset/c7947fef16ac/ A post on blog.enzotools.org highlighting some recent successes: http://blog.enzotools.org/amr-kd-tree-rendering-added-to-yt A simple script, where you should just have to change the parameter file name: http://paste.enzotools.org/show/1367/ A more advanced script that exposes a few new options: http://paste.enzotools.org/show/1368/ Both of these scripts should be able to be run in parallel (as long as N is a power of 2 for now) transparently as: mpirun -np N python script.py --parallel Parallel performance will depend on the structure of your data, but the docs for the Camera object have some suggestions. If you find any problems or have any thoughts, let me know! Best, Sam
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