Using hls4ml to Map Convolutional Neural Networks on Interconnected FPGA Devices.
Evangelos MageiropoulosNikolaos ChrysosNikolaos DimouManolis KatevenisPublished in: FCCM (2021)
Keyphrases
- convolutional neural networks
- maximum likelihood
- convolutional network
- maximum a posteriori
- mobile devices
- field programmable gate array
- high speed
- embedded devices
- low power consumption
- reconfigurable hardware
- real time
- real time image processing
- low cost
- embedded systems
- hardware implementation
- fpga implementation
- dedicated hardware
- data sets