Detail publikačního výsledku

Performance comparison of a signal processing pipeline execution using CPU and GPU

TOMAŠOV, A.; HORVÁTH, T.

Originální název

Performance comparison of a signal processing pipeline execution using CPU and GPU

Anglický název

Performance comparison of a signal processing pipeline execution using CPU and GPU

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Fiber Optics Security, GPU, NVIDIA Jetson Nano, PyTorch, Signal Processing Acceleration

Klíčová slova v angličtině

Fiber Optics Security, GPU, NVIDIA Jetson Nano, PyTorch, Signal Processing Acceleration

Autoři

TOMAŠOV, A.; HORVÁTH, T.

Rok RIV

2023

Vydáno

26.04.2022

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-6029-4

Kniha

Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers

Edice

1

Strany od

465

Strany do

469

Strany počet

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"
}