Scalable Volume Rendering


You gotta love volume rendering. πŸ™‚

I colleague just benchmarked eVolve, the new Equalizer volume rendering example on a 16-node graphics cluster. You can see the performance graphs below (click on it for a large version).

Scalability of a 512^3 volume data set

The first one tests a 512x512x512, 8-bit data set. As mentioned in earlier posts in this blog, it’s a bad idea to overcommit GPU memory. πŸ˜‰

As soon as the database decomposition makes the slice rendered by each node small enough, we’ll see a nice jump of performance, to interactive levels. From there on it scales nicely to 16 nodes. The 2D case is close enough to the linear scalability, given that it still needs to hold the full texture on all nodes.

Scalability of a 256^3 volume data set

The second benchmark uses the same data set at a 256^3 resolution. Since this is 1/8 of the data, we don’t see any caching effects. Scalability is also nice until it hits the IO limits of the system, which is an acceptable 25 fps at 1280×1024. And this is not yet the limit, the test used IP-over-IB instead of the fast SDP-over-IB because the system was not set up for it.

The 25 fps are reached with 12 nodes, adding more nodes does not improve performance. For database decomposition, the performance limit is 12.5 fps, since twice as much data has to be handled by each node (see the direct-send paper for details). This limit is reached at 10 nodes already.

Advertisements

2 Responses to “Scalable Volume Rendering”

  1. Damon Says:

    It’s probably not possible, but do you know if there is a way to point a SketchUp plugin at a cluster? I’m trying to get http://suplugins.com SU Podium to run this way.

  2. eile Says:

    Damon,

    If you don’t have a way to modify the source code your only chance is Chromium.

    In your case you’ll probably want to configure Chromium to only use the Window created by the plugin, and send that out to a number of backend nodes. Please ask on the Cr mailing list if you need more details.

    Cheers,

    Stefan.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s


%d bloggers like this: