Interconnecting Multiple FPGAs for Distributed Machine Learning Inference
Machine learning has been growing in popularity for many years now and is currently popular among both businesses and private individuals. Running machine learning models takes a lot of computational resources, which means a large amount of energy is consumed. The aim of this thesis is to investigate the usage of machine learning model specific hardware on Field Programmable Gate Arrays (FPGAs) a