You guys have seen my work, and I've heard some people talk about some interesting subjects...
So what's everyone working on, how is the SDK working for your applications?
I'm working on my master thesis.
I have almost finished my application that calculate Dense Disparity Map from Color Stereo Images.
My algoritm is simple because I want only to prove quickness of the GPU
My GPU calculate it about 20 - 50 x faster than CPU.
Here is my output image: http://img399.imageshack.us/my.php?image=out000mj5.png
Nice zimoch. Kos, I really think this technology would be great for servers to procedurally generate and control masses of bots, for any purpose really, I'm hoping to get into a lot of that when I have more time to code.
I working with a group of mechanical engineers on NASA's Orion project, the crew-launch replacement for the shuttle. They are doing the vibration analyses for the launch phase of the craft. In particular they are trying to dramatically speed-up a single run of model code, which must execute 100's of time to get a statistically significant sample size.
That's quite interesting nberger... Any kind of leading edge physics/science applications really grab my attention. And ryta, I'm sorry to hear your lack of success, keep in mind the new version of the SDK will be released sometime around the second week of december as far as we've heard. Should bring quite a few features that seem like it will bring the SDK closer to a more mature model.
As for me, I'm sort of lamenting the task, but it is time to design a model that will allow me to implement backends for any and all optimized or general GPGPU APIs. As well as begin to implement an interface for interacting with my new "noise modules" through a GUI. Once modularized and optimized it will be time for LOD.
There's a lot of interesting things that I've thought of in the style of SIMD. A friend of mine works for a security company. Every camera for instance could have a stream of pixels tested and outputed to a stream of results. There's just such a leap in efficiency, and we're seeing that across the board!