OPTIMIZING GENERAL PURPOSE COMPUTATIONS USING KEPLER BASED GRAPHICS ACCELERATORS

The programming of GPUs (Graphics Processing Units) is ready for practical applications; the largest industry players (including research centres, financial and analyst corporations) have already announced that they use these new devices for high computing applications. There are several well-known areas, like image processing, simulations and obviously 3D graphics, where we can use these devices very efficiently. In this paper, we would like to show, that beyond these well-known topics, GPU programming is able to speed-up more general purpose applications. The key is the data parallel nature of the algorithm, and the minimization of data transfers between CPU and GPU