User Tools

Site Tools


melange:papers:fall2019

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
Next revision Both sides next revision
melange:papers:fall2019 [2019/08/30 13:57]
jana removed
melange:papers:fall2019 [2019/11/04 17:19]
jana
Line 1: Line 1:
-@article{Verdoolaege:2012:ECS:2362389.2362390, author = {Verdoolaege,​ Sven and JanssensGerda and BruynoogheMaurice}, title = {Equivalence Checking ​of Static Affine Programs Using Widening ​to Handle Recurrences}, journal = {ACM Trans. ​Program. LangSyst.}, issue_date = {October ​2012}, volume = {34}, number = {3}, month = nov, year = {2012}, issn = {0164-0925}, pages = {11:1–11:35}, articleno = {11}, numpages = {35}, url = {http://​doi.acm.org/​10.1145/​2362389.2362390}, doi = {10.1145/2362389.2362390}, acmid = {2362390}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {Commutativityequivalence checkingpolytope model, recurrences,​ widening}, +@inproceedings{Rawat:​2016:​ERM:​2884045.2884047,​ 
 + ​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}, 
 + ​series = {GPGPU '​16},​ 
 + year = {2016}, 
 + isbn = {978-1-4503-4195-0},​ 
 + ​location = {Barcelona, Spain}, 
 + pages = {92--102},​ 
 + ​numpages = {11}, 
 + url = {http://​doi.acm.org/​10.1145/​2884045.2884047},​ 
 + doi = {10.1145/​2884045.2884047},​ 
 + acmid = {2884047},​ 
 + ​publisher = {ACM}, 
 + ​address = {New York, NY, USA}, 
 + ​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 DataflowsA 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 AdamsAndrew ​and CohenAlbert}, 
 + title = {The Next 700 Accelerated Layers: From Mathematical Expressions ​of Network Computation Graphs ​to Accelerated GPU Kernels, Automatically}, 
 + journal = {ACM Trans. ​ArchitCode 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 layersGPU accelerationpolyhedral compilation}, 
melange/papers/fall2019.txt · Last modified: 2019/12/02 11:09 by jana