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Reconfigurable Distributed FPGA Cluster Design for Deep Learning Accelerators
We propose a distributed system based on lowpower embedded FPGAs designed for edge computing applications focused on exploring distributing scheduling optimizations for Deep Learning (DL) workloads to obtain the best performance regarding latency and power efficiency.
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