I’m working on an application which will target Quadro FX 1700 hardware.
The application currently uses OpenGL to do image processing related GPGPU calculation.
I have found that using OpenGL is rather burdensome where I have to keep finding solutions to go around limitations of OpenGL. I also become rather limited to image processing and seem to have to fall back to cpu when I need to do other stuff such as audio processing.
I would like to switch to CUDA as that seems the right tool for the job. However I am a bit unsure of what kind of performance a CUDA solution would have in comparison to OpenGL on a bit older hardware.
Especially as my target hardware only has “Compute Capability 1.1” and 32 CUDA cores (Quadro FX 1700). I have no idea what this means in practice and would appreciate some advice.