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melange:papers:fall2019 [2019/10/09 12:02]
jana 		melange:papers:fall2019 [2019/11/04 17:19]
jana
Line 16: Line 16:
  keywords = {GPGPU, resource management, stencil computations, tiling},  keywords = {GPGPU, resource management, stencil computations, tiling},
 } }
 +
  
  
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                Michael Pellauer and                Michael Pellauer and
                Tushar Krishna},                Tushar Krishna},
-  title     = {{MAESTRO:} An Open-source Infrastructure for Modeling Dataflows within +  title     = {Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach},
-               Deep Learning Accelerators},+
   journal   = {CoRR},   journal   = {CoRR},
   volume    = {abs/1805.02566},   volume    = {abs/1805.02566},
Line 35: Line 35:
   bibsource = {dblp computer science bibliography, https://dblp.org}   bibsource = {dblp computer science bibliography, https://dblp.org}
 } }
 +
  
  
Line 54: Line 55:
  address = {New York, NY, USA},  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},
 +
melange/papers/fall2019.txt · Last modified: 2019/12/02 11:09 by jana

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