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Search: WFRF:(Waqar M)

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  • 2021
  • swepub:Mat__t
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  • Glasbey, JC, et al. (author)
  • 2021
  • swepub:Mat__t
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  • Thomas, HS, et al. (author)
  • 2019
  • swepub:Mat__t
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  • Tabiri, S, et al. (author)
  • 2021
  • swepub:Mat__t
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  • Bravo, L, et al. (author)
  • 2021
  • swepub:Mat__t
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  • 2021
  • swepub:Mat__t
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  • Griessl, René, et al. (author)
  • A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT based on Microservers
  • 2023
  • In: Shaping the Future of IoT with Edge Intelligence How Edge Computing Enables the Next Generation of IoT Applications. - 9788770040273 ; , s. 179-196
  • Book chapter (other academic/artistic)abstract
    • Performance and energy efficiency are key aspects of next-generation AIoT hardware. This chapter presents a scalable, heterogeneous hardware platform for accelerated AIoT based on microserver technology. It integrates several accelerator platforms based on technologies like CPUs, embedded GPUs, FPGAs, or specialized ASICs, supporting the full range of the cloud−edgeIoT continuum. The modular microserver approach enables the integrationof different, heterogeneous accelerators into one platform. Benchmarking the various accelerators takes performance, energy efficiency, and accuracy into account. The results provide a solid overview of available accelerator solutions and guide hardware selection for AIoT applications from the far edge to the cloud.
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  • Result 1-10 of 18

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