MCPS: a mapping method for MAERI accelerator base on Cartesian Product based Convolution for DNN layers with sparse input feature map
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-021-03527-6.pdf
Reference31 articles.
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3. Aimar, A., et al.: Nullhop: a flexible convolutional neural network accelerator based on sparse representations of feature maps. IEEE Trans. Neural Netw. Learn. Syst. 30(3), 644–656 (2018)
4. Xia, K.-J., Yin, H.-S., Wang, J.-Q.: A novel improved deep convolutional neural network model for medical image fusion. Clust. Comput. 22(1), 1515–1527 (2019)
5. Kwon, H., Samajdar, A., Krishna, T.: Maeri: enabling flexible dataflow mapping over dnn accelerators via reconfigurable interconnects. ACM SIGPLAN Not. 53(2), 461–475 (2018)
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