Origami: A 803-GOp/s/W Convolutional Network Accelerator

@article{Cavigelli2017OrigamiA8,
  title={Origami: A 803-GOp/s/W Convolutional Network Accelerator},
  author={Lukas Cavigelli and Luca Benini},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2017},
  volume={27},
  pages={2461-2475}
}
An ever-increasing number of computer vision and image/video processing challenges are being approached using deep convolutional neural networks, obtaining state-of-the-art results in object recognition and detection, semantic segmentation, action recognition, optical flow, and super resolution. Hardware acceleration of these algorithms is essential to adopt these improvements in embedded and mobile computer vision systems. We present a new architecture, design, and implementation, as well as… CONTINUE READING
Highly Cited
This paper has 37 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 13 times over the past 90 days. VIEW TWEETS
26 Citations
56 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 26 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 56 references

Similar Papers

Loading similar papers…