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arXiv · 1411.3656

The Implementation of a Real-Time Polyphase Filter

Karel Adámek·Jan Novotný·Wes Armour
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Abstract

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.

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Karel Adámek, Jan Novotný, Wes Armour. 2014-11-12. The Implementation of a Real-Time Polyphase Filter. https://arxiv.org/abs/1411.3656

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