FPGA-based accelerator method for Edge Computing

Link:
Autor/in:
Verlag/Körperschaft:
Preprints.org
Erscheinungsjahr:
2024
Medientyp:
Text
Schlagworte:
  • Field Programmable Gate Array (FPGA)
  • Fast Fourier Transformation (FFT)
  • Edge Computing
  • partial FPGA reconfiguration
  • mobile systems
  • Digital Signal Processing (DSP)
  • 004: Informatik
  • ddc:004
Beschreibung:
  • Edge computing helps radio-supported mobile systems to process computing tasks on the side ofservers. The proximity to an edge computing node avoids excessive latencies, which benefits the calculation ofreal-time algorithms. Special computing needs arise because mobile systems are often so limited in weight andenergy that they cannot carry powerful on-board computers. We propose the use of FPGA-based co-processors(FPGA: Field Programmable Gate Array) to handle computations in an edge node. The calculation of the FastFourier Transformation (FFT) will be presented as an example of a co-processor. The use of FPGA-based co-processors poses a particular challenge when a mobile system leaves its radio cell, and the computing contextmust be transferred to another edge node. The article first addresses specific edge computing requirements,such as case-by-case reconfiguration of computing hardware and the handover mechanism from one edge nodeto another. Using the example of an FPGA-based FFT co-processor, we describe its development, which wascarried out under the condition that mobile clients can request different co-processors and that they can alsochange the edge node when changing the radio cell. The latter requires passing the co-processor context. Forthe FPGA, this means that the co-processor is part of a partially reconfigurable environment and must supportthe handover mechanisms in hardware. At the end we indicate the need for FPGA resources and compare thiswith alternative solutions.
  • Hamburg Innovation
  • ReviewPending
Lizenzen:
  • info:eu-repo/semantics/openAccess
  • https://creativecommons.org/licenses/by/4.0/
Quellsystem:
ReposIt

Interne Metadaten
Quelldatensatz
oai:reposit.haw-hamburg.de:20.500.12738/16697