FPGA

Paper Review – xDNN: Inference for Deep Convolutional Neural Networks

https://dl.acm.org/doi/10.1145/3473334 The authors, D’Aberto et al. from Xilinx and Facebook, present an end-to-end system for deep-learning inference based on a family of specialized hardware processors synthesized on Field-Programmable Gate Array (FPGAs) to implement various flavours of Convolution Neural Networks(CNN). The design is optimized for low latency, high throughput, and high energy efficiency. As the design […]

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