Please use this identifier to cite or link to this item: https://doi.org/10.48441/4427.2138
Publisher DOI: 10.20944/preprints202405.0657.v1
Title: FPGA-based accelerator method for Edge Computing
Language: English
Authors: Schulz, Peter  
Sleahtitchi, Grigore 
Keywords: Field Programmable Gate Array (FPGA); Fast Fourier Transformation (FFT); Edge Computing; partial FPGA reconfiguration; mobile systems; Digital Signal Processing (DSP)
Issue Date: 10-May-2024
Publisher: Preprints.org
Project: FPGA (Field Programmable Gate Array) on the Edge 
Abstract: 
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.
URI: https://hdl.handle.net/20.500.12738/16697
DOI: 10.48441/4427.2138
Review status: Only preprints: This version has not yet been reviewed
Institute: Fakultät Technik und Informatik 
Department Informations- und Elektrotechnik 
Forschungs- und Transferzentrum Future Air Mobility 
Type: Preprint
Funded by: Hamburg Innovation 
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