hpcs-16-mic-v2

Speedup of deep neural network learning on the MIC-architecture
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      1 @article{learning-deep-architectures,
      2   title={Learning deep architectures for AI},
      3   author={Bengio, Yoshua},
      4   journal={Foundations and trends in Machine Learning},
      5   volume={2},
      6   number={1},
      7   pages={1--127},
      8   year={2009},
      9   publisher={Now Publishers Inc.}
     10 }
     11 
     12 @phdthesis{dnn-xeon-phi-thesis,
     13   title={Accelerated Deep Learning using Intel Xeon Phi},
     14   author={Viebke, Andr{\'e}},
     15   year={2015},
     16   school={Linnaeus University}
     17 }
     18 
     19 @inproceedings{dnn-xeon-phi-finance,
     20   title={Implementing deep neural networks for financial market prediction on the Intel Xeon Phi},
     21   author={Dixon, Matthew and Klabjan, Diego and Bang, Jin Hoon},
     22   booktitle={Proceedings of the 8\textsuperscript{th} Workshop on High Performance Computational Finance},
     23   pages={6},
     24   year={2015},
     25   organization={ACM}
     26 }
     27 
     28 @article{hinton2006reducing,
     29   title={Reducing the dimensionality of data with neural networks},
     30   author={Hinton, Geoffrey E and Salakhutdinov, Ruslan R},
     31   journal={Science},
     32   volume={313},
     33   number={5786},
     34   pages={504--507},
     35   year={2006},
     36   publisher={American Association for the Advancement of Science}
     37 }
     38 
     39 @article{bengio2007scaling,
     40   title={Scaling learning algorithms towards AI},
     41   author={Bengio, Yoshua and LeCun, Yann and others},
     42   journal={Large-scale kernel machines},
     43   volume={34},
     44   number={5},
     45   year={2007}
     46 }
     47 
     48 @phdthesis{werbos1974beyond,
     49   title={Beyond regression: New tools for prediction and analysis in the behavioral sciences},
     50   author={Werbos, Paul},
     51   year={1974},
     52   school={Harvard University}
     53 }
     54 
     55 @inproceedings{jin2014training,
     56   title={Training large scale deep neural networks on the intel xeon phi many-core coprocessor},
     57   author={Jin, Lei and Wang, Zhaokang and Gu, Rong and Yuan, Chunfeng and Huang, Yihua},
     58   booktitle={Parallel \& Distributed Processing Symposium Workshops (IPDPSW), 2014 IEEE International},
     59   pages={1622--1630},
     60   year={2014},
     61   organization={IEEE}
     62 }
     63 
     64 @inproceedings{stanic2014evaluation,
     65   title={Evaluation of vectorization potential of Graph500 on Intel's Xeon Phi},
     66   author={Stanic, Milan and Palomar, Oscar and Ratkovic, Ivan and Duric, Milovan and Unsal, Ozan and Cristal, Adrian and Valero, MR},
     67   booktitle={High Performance Computing \& Simulation (HPCS), 2014 International Conference on},
     68   pages={47--54},
     69   year={2014},
     70   organization={IEEE}
     71 }
     72 
     73 @inproceedings{calvin2013exploration,
     74   title={The exploration of pervasive and fine-grained parallel model applied on Intel Xeon Phi coprocessor},
     75   author={Calvin, Christophe and Ye, Fan and Petiton, Serge},
     76   booktitle={P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2013 Eighth International Conference on},
     77   pages={166--173},
     78   year={2013},
     79   organization={IEEE}
     80 }
     81 
     82 @inproceedings{duran2012intel,
     83   title={{The Intel Many Integrated Core architecture}},
     84   author={Duran, Alejandro and Klemm, Michael},
     85   booktitle={International Conference on High Performance Computing and Simulation (HPCS)},
     86   pages={365--366},
     87   year={2012},
     88   organization={IEEE}
     89 }
     90