Both sides previous revision
Previous revision
|
Next revision
Both sides next revision
|
melange:papers:fall2019 [2019/10/30 13:51] jana |
melange:papers:fall2019 [2019/11/04 17:19] jana |
| |
@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{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}, |
| |