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.
@article{arxiv.1411.3656,
title = {The Implementation of a Real-Time Polyphase Filter},
author = {Karel Adámek and Jan Novotný and Wes Armour},
journal= {arXiv preprint arXiv:1411.3656},
year = {2014}
}
Comments
Proceedings of WDS 2014, Charles University in Prague, Faculty of Mathematics and Physics Troja, Prague