LSTM Acceleration with FPGA and GPU Devices for Edge Computing Applications in B5G MEC.
Dimitrios DanopoulosIoannis StamouliasGeorge LentarisDimosthenis MasourosIoannis KanaropoulosAndreas Kosmas KakolyrisDimitrios SoudrisPublished in: SAMOS (2022)
Keyphrases
- real time
- mobile devices
- field programmable gate array
- embedded systems
- high speed
- edge information
- low cost
- hardware implementation
- neural network
- low power consumption
- real time image processing
- graphics hardware
- parallel computing
- parallel hardware
- high end
- edge map
- weighted graph
- data acquisition
- signal processing
- edge detection
- general purpose