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--- melange:papers:fall2019 [2019/10/09 12:10]
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+++ melange:papers:fall2019 [2019/11/04 17:19]
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  address = {New York, NY, USA},
 }
+@ARTICLE{7738524, author={Y. H. Chen and T. Krishna and J. S. Emer and V. Sze}, journal={IEEE Journal of Solid-State Circuits}, title={Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks}, year={2017}, volume={52}, number={1}, pages={127-138}, url = {http://ieeexplore.ieee.org/document/7738524/}, doi={10.1109/JSSC.2016.2616357}, ISSN={0018-9200}, month={Jan},}
+@article{Vasilache:2019:NAL:3366460.3355606,
+ author = {Vasilache, Nicolas and Zinenko, Oleksandr and Theodoridis, Theodoros and Goyal, Priya and Devito, Zachary and Moses, William S. and Verdoolaege, Sven and Adams, Andrew and Cohen, Albert},
+ title = {The Next 700 Accelerated Layers: From Mathematical Expressions of Network Computation Graphs to Accelerated GPU Kernels, Automatically},
+ journal = {ACM Trans. Archit. Code Optim.},
+ issue_date = {October 2019},
+ volume = {16},
+ number = {4},
+ month = oct,
+ year = {2019},
+ issn = {1544-3566},
+ pages = {38:1--38:26},
+ articleno = {38},
+ numpages = {26},
+ url = {http://doi.acm.org/10.1145/3355606},
+ doi = {10.1145/3355606},
+ acmid = {3355606},
+ publisher = {ACM},
+ address = {New York, NY, USA},
+ keywords = {Deep learning layers, GPU acceleration, polyhedral compilation},

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