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--- melange:papers:fall2019 [2019/09/24 11:48]
jana created
+++ melange:papers:fall2019 [2019/11/04 17:19]
jana
@@ Line 1: / Line 1: @@
 @inproceedings{Rawat:2016:ERM:2884045.2884047,
- author = {Rawat, Prashant Singh and Hong, Changwan and Ravishankar, Mahesh and Grover, Vinod and Pouchet, Louis-No\"{e}l and Sadayappan, P.},
+ author = {Rawat, Prashant Singh and Hong, Changwan and Ravishankar, Mahesh and Grover, Vinod and Pouchet, Louis-Noël and Sadayappan, P.},
  title = {Effective Resource Management for Enhancing Performance of 2D and 3D Stencils on GPUs},
  booktitle = {Proceedings of the 9th Annual Workshop on General Purpose Processing Using Graphics Processing Unit},
@@ Line 16: / Line 16: @@
  keywords = {GPGPU, resource management, stencil computations, tiling},
 }
+@article{DBLP:journals/corr/abs-1805-02566,
+  author    = {Hyoukjun Kwon and
+               Michael Pellauer and
+               Tushar Krishna},
+  title     = {Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach},
+  journal   = {CoRR},
+  volume    = {abs/1805.02566},
+  year      = {2018},
+  url       = {http://arxiv.org/abs/1805.02566},
+  archivePrefix = {arXiv},
+  eprint    = {1805.02566},
+  timestamp = {Mon, 13 Aug 2018 16:46:45 +0200},
+  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1805-02566},
+  bibsource = {dblp computer science bibliography, https://dblp.org}
+}
+@inproceedings{Stock:2014:FED:2594291.2594342,
+ author = {Stock, Kevin and Kong, Martin and Grosser, Tobias and Pouchet, Louis-Noël and Rastello, Fabrice and Ramanujam, J. and Sadayappan, P.},
+ title = {A Framework for Enhancing Data Reuse via Associative Reordering},
+ booktitle = {Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation},
+ series = {PLDI '14},
+ year = {2014},
+ isbn = {978-1-4503-2784-8},
+ location = {Edinburgh, United Kingdom},
+ pages = {65--76},
+ numpages = {12},
+ url = {http://doi.acm.org/10.1145/2594291.2594342},
+ doi = {10.1145/2594291.2594342},
+ acmid = {2594342},
+ publisher = {ACM},
+ 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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