GPU Interruptible Kernels

Implementation of heavy computing tasks on GPU's faces two limits:
1) number of parameters/variables in each kernel;
2) computation time.
This very simple C++ header allows to easily create CUDA kernels that overcome both limitations. The library adds a small overhead to the GPU kernels, but in carefully designed applications the slowdown should hardly be noticeable.