Rent A Bit Of Weta Digital
An anonymous reader writes linking to this story at stuff.co.nz, excerpting: "Five hundred powerful computers used by Weta Digital to help create the special effects for the Lord of the Rings may be put up for hire.... The pizza-box sized IBM blade servers each incorporate dual 2.8 gigahertz Intel Xeon processors and 6 [gigabytes?] of memory." Update: 03/22 07:08 GMT by S : The linked story says 6 megabytes of memory, we don't believe 'em.
The best I could find was this mirror of the FAQ. Since ProcessTree.com now belongs to a domain poacher, I'm guessing they never did find a paying client...
"BSD: Free as in speech. Linux: Free as in beer. Windows 10: Free as in herpes." --Man On Pink Corner in #52607549.
Xeons only go up to 4 megs of cache and those were just recently released. At the time these were bought the max was 2 megs.
Check out http://www.worley.com/fprime.html
My part-time employer (when I'm not working for NASA/JPL) Maas Digital just bought a copy of the software... it utilizes stochastic methods to allow flexible real-time raytrace rendering (with good motion blur!)
It turns out that motion blur in 3D graphics is a very hard problem because it's essentially a high-dimensional integral, and it turns out the best method of doing generalized high-dimensional numerical integration is a stochastic algorithm (monte carlo method) so it's not surprising to me that it's a great way to do motion blurs.
My favorite aspect of stochastic methods is their ability to be continuously refined (for instance, in a video game, the longer you spent looking at an object, the better it would get etc, and the graphics performance would degrade very smoothly with changes in system load etc). It is also ideal for parallel processing, as it can be dynamically parallelized to completely heterogeneous computing nodes.
Dan and I agree that there's going to be a lot of stochastic algorithms in the future of computer graphics (though he is hopeful that analytical methods will eventually make a comeback, as they have better asymptotic performance).
Cheers,
Justin Wick