AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This study investigates the most recent advances, trends, and design choices for Transformer inference on FPGA platforms, and performs a systematic literature review, extracting and delving into preferred techniques for implementation and optimisation.
This work demonstrates the use of compartmentalisation of execution timelines into distinct units, i.e., execution phases, and introduces the generation of representations for these phases, i.e., behavioural signatures and behavioural passports, as their way of behavioural fingerprinting.
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