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TOMAŠOV, A.; HORVÁTH, T.
Original Title
Performance comparison of a signal processing pipeline execution using CPU and GPU
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
The paper compares the execution performance of NumPy and PyTorch mathematical libraries in embedded systems with graphics processing unit (GPU) acceleration. Both frameworks execute a signal processing pipeline from a fiber manipulation detection system, which inspects a signal from a state of polarization analyzer to enhance the security of optical fiber. The performance comparison is evaluated in the NVIDIA Jetson Nano system with 128-core Maxwell GPU. Based on the measured results, the PyTorch library executed on the GPU has performance improvement from 59 % to 84 % on different batch sizes. The results prove the real-time analysis capabilities of such a system with GPU acceleration.
English abstract
Keywords
Fiber Optics Security, GPU, NVIDIA Jetson Nano, PyTorch, Signal Processing Acceleration
Key words in English
Authors
RIV year
2023
Released
26.04.2022
Publisher
Brno University of Technology, Faculty of Electrical Engineering and Communication
Location
Brno
ISBN
978-80-214-6029-4
Book
Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers
Edition
1
Pages from
465
Pages to
469
Pages count
5
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf
BibTex
@inproceedings{BUT177692, author="Adrián {Tomašov} and Tomáš {Horváth}", title="Performance comparison of a signal processing pipeline execution using CPU and GPU", booktitle="Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers", year="2022", series="1", pages="465--469", publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication", address="Brno", isbn="978-80-214-6029-4", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf" }