article · Journal of Astronomical Telescopes Instruments and Systems · 2023
Efficient channelization on a graphics processing unit
Cited by 0Open access
Abstract
We present an implementation of a channelizer (F-engine) running on a graphics processing unit (GPU). While not the first GPU implementation of a channelizer, we have put significant effort into optimizing the implementation. We are able to process 4 antennas each with 2 Gsample / s, 10-bit dual-polarized input and 8-bit output, on a single commodity GPU. This fully utilizes the available peripheral component interconnect express (PCIe) bandwidth of the GPU. The system is not as optimized for a single high-bandwidth antenna but handles 6.2 Gsample / s, limited by single-core central processing unit (CPU) performance.
Cite this paper
Merry, B. (2023). Efficient channelization on a graphics processing unit. Journal of Astronomical Telescopes Instruments and Systems, 9(03). https://doi.org/10.1117/1.jatis.9.3.038001
Merry, Bruce. “Efficient channelization on a graphics processing unit.” Journal of Astronomical Telescopes Instruments and Systems, vol. 9, no. 03, 2023, https://doi.org/10.1117/1.jatis.9.3.038001.
Merry, Bruce. 2023. “Efficient channelization on a graphics processing unit.” Journal of Astronomical Telescopes Instruments and Systems 9 (03). https://doi.org/10.1117/1.jatis.9.3.038001.
Merry, B. (2023) ‘Efficient channelization on a graphics processing unit’, Journal of Astronomical Telescopes Instruments and Systems, 9(03). Available at: https://doi.org/10.1117/1.jatis.9.3.038001.
@article{merry2023efficient,
title = {{Efficient channelization on a graphics processing unit}},
author = {Merry, Bruce},
journal = {Journal of Astronomical Telescopes Instruments and Systems},
volume = {9},
number = {03},
year = {2023},
doi = {10.1117/1.jatis.9.3.038001}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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