Well I decided I prefer to use GPU over CPU especially since I'm working on a game and FPS will increase I expect. The thing is i'm not sure where to start. I can easily implement JOCL or JCUDA but after that I wouldnt know where to replace it from using CPU to GPU. Help is appreciated :)
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What kind of computations are you after? If those are compute intensive such as N-body gravity experiments, then you can simply copy variables to gpu then compute then copy results back to main memory.
If your objects have big data but small computation such as fluid dynamics or collision detection, then you should add interoperability between your graphics api and compute api. Then you can do only computations withouth any copying of data.(speed-up is like your GPU ram bandwidth divided by your pci-e bandwidth. For a HD7870, it is like 25x if compute power is not saturated already)
I used jocl and lwjgl using gl/cl interoperability in java and they were working very well.
Some neural network is trained with CPU(Encog) but used by GPU(jocl) to generate a map and drawn by LWJGL :(neuron weigths are changed a little to have some more randomizing effect)
Very important part is:
Example:
Changing a cpu code to a opencl code can be done automatically by APARAPI but Im not sure if it has interoperability.
If you need to do it yourself, then it is as easy as: