  In this article we study the suitability of dierent computational
accelerators for the task of real-time data processing. The algorithm used for
comparison is the polyphase filter, a standard tool in signal processing and a
well established algorithm. We measure performance in FLOPs and execution time,
which is a critical factor for real-time systems. For our real-time studies we
have chosen a data rate of 6.5GB/s, which is the estimated data rate for a
single channel on the SKAs Low Frequency Aperture Array. Our findings how that
GPUs are the most likely candidate for real-time data processing. GPUs are
better in both performance and power consumption.
