Single-Instruction Multiple-Data (SIMD) processing is valuable in numerous compute intensive application areas, especially in pixel processing on programmable processors. With SIMD, the nice thing is that the actual hardware can be scaled to the performance and the power consumption demands of the application domain, while the software suite remains equal. In this paper, we discuss the effect of scaling on power consumption, cost and performance which is related to the characteristics of applications ranging from mobile to medical video processing. Our analysis is based on experience obtained with the Philips Xetal SIMD processor.
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