DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning

@inproceedings{Chen2014DianNaoAS,
  title={DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning},
  author={Tianshi Chen and Zidong Du and Ninghui Sun and Jia Wang and Chengyong Wu and Yunji Chen and Olivier Temam},
  booktitle={ASPLOS},
  year={2014}
}
Machine-Learning tasks are becoming pervasive in a broad range of domains, and in a broad range of systems (from embedded systems to data centers). At the same time, a small set of machine-learning algorithms (especially Convolutional and Deep Neural Networks, i.e., CNNs and DNNs) are proving to be state-of-the-art across many applications. As architectures evolve towards heterogeneous multi-cores composed of a mix of cores and accelerators, a machine-learning accelerator can achieve the rare… CONTINUE READING
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