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Evaluation of AI and Video Computing Applications on Multiple Heterogeneous Architectures

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Applications in Electronics Pervading Industry, Environment and Society (ApplePies 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1110))

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Abstract

This paper evaluates an AI video surveillance application on diverse high-performance computing (HPC) architectures. AI-powered video surveillance has emerged as a vital tool for security and monitoring, relying on hardware infrastructure for efficient processing. We present a benchmark of an AI application based on the YOLO object dection framework to track downed pepole in critical scenarios. This study investigates the impact of different architectural designs, including CPUs and GPUs on video analysis performance. Evaluation metrics encompass computational speed, power consumption and resource utilisation.

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References

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Acknowledgments

EuPilot: the European PILOT project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No.101034126. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Spain, Italy, Switzerland, Germany, France, Greece, Sweden, Croatia and Turkey. Italian Ministry of Education and Research (MUR), ForeLab project (Departments of Excellence), and by PNRR—M4C2—Investimento 1.3, Partenariato Esteso PE00000013—“FAIR—Future Artificial Intelligence Research"—Spoke 1 “Human-centered AI” (the PNRR program is funded by the European Commission under the NextGeneration EU programme).

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Authors and Affiliations

  1. Department of Information Engineering, University of Pisa, Pisa, Italy

    Federico Rossi, Giacomo Mugnaini & Sergio Saponara

  2. Leonardo S.p.A., via Pieragostini 80, Genova, 16149, Italy

    Carlo Cavazzoni & Antonio Sciarappa

Authors
  1. Federico Rossi
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  2. Giacomo Mugnaini
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  3. Sergio Saponara
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  4. Carlo Cavazzoni
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  5. Antonio Sciarappa
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Corresponding author

Correspondence to Federico Rossi .

Editor information

Editors and Affiliations

  1. Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy

    Francesco Bellotti

  2. Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece

    Miltos D. Grammatikakis

  3. Lab-STICC, CNRS UMR 6285, École nationale supérieure de techniques avancées Bretagne, Brest, France

    Ali Mansour

  4. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy

    Massimo Ruo Roch

  5. Department of Computer Science, HTWG Konstanz—University of Applied Sciences, Konstanz, Germany

    Ralf Seepold

  6. Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Catalonia, Spain

    Agusti Solanas

  7. Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy

    Riccardo Berta

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Rossi, F., Mugnaini, G., Saponara, S., Cavazzoni, C., Sciarappa, A. (2024). Evaluation of AI and Video Computing Applications on Multiple Heterogeneous Architectures. In: Bellotti, F., et al. Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2023. Lecture Notes in Electrical Engineering, vol 1110. Springer, Cham. https://doi.org/10.1007/978-3-031-48121-5_19

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  • DOI: https://doi.org/10.1007/978-3-031-48121-5_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48120-8

  • Online ISBN: 978-3-031-48121-5

  • eBook Packages: EngineeringEngineering (R0)

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