I think you'd be better served by using something like OpenCL. especially if it was already running on simd core then it should be relatively straightforward to port to openCL. the mental model to follow would be to think of a gpu as a collection of identical simd machines that are programmed in simplified version of C.
thinking further, if you have never programmed gpgpu processors you may be better off porting your code using NVIDIA CUDA (assuming you are targeting desktop graphics). it had better tools and overall a better ecosystem.
thinking further, if you have never programmed gpgpu processors you may be better off porting your code using NVIDIA CUDA (assuming you are targeting desktop graphics). it had better tools and overall a better ecosystem.