The graphics chip (GPU) in such devices is extremely powerful in terms of processing specific types of data, painting billions of pixels per second on to computer screens. But there is spare capacity in this task and so providing the data fed to it is suitable and techniques for sharing the processing within the program code are adopted, the GPU could become the accelerator for these devices. Indeed Apple has announced its "Open-CL" initiative aimed at supporting this type of programming through future versions of its OSX operating system. Given that GPUs can be ten times more power efficient than general purpose CPU chips, the impact on device performance could be highly significant.
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