DeepChip: Deep learning on resource-constrained systems

Research Network
2015-present
Research Network

Summary: DeepChip gathers methods that support the implementation of deep convolutional networks for machine learning on embedded platforms. DeepChip heavily relies on extreme forms of quantization and related unsafe optimizations to match the computational and memory requirements of deep neural networks to available hardware resources. By integrating these techniques in existing tool stacks for machine learning, it allows specialists in machine learning to leverage the ubiquitous availability and high energy-efficiency of advanced embedded systems for an improved use of classification and regression methods. This D-A-CH (DFG/FWF) project is a collaboration with the group of Franz Pernkopf from Technical University of Graz. While we already started our efforts with the help of research assistants and master students earlier, the funded project has just started in December 2016. More on http://www.deepchip.org/.

Dissemination

2024

  1. Daniel Barley and Holger Fröning
    Less Memory Means smaller GPUs: Backpropagation with Compressed Activations
    CoRR, abs/2409.11902, 2024
    @article{barley2024,
      author = {Barley, Daniel and Fr{{\"o}}ning, Holger},
      title = {Less Memory Means smaller GPUs: Backpropagation with Compressed Activations},
      year = {2024},
      volume = {abs/2409.11902},
      journal = {CoRR},
      url = {https://arxiv.org/abs/2409.11902},
    }
    
  2. Wolfgang Roth, Günther Schindler, Bernhard Klein, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf and Zoubin Ghahramani
    Resource-Efficient Neural Networks for Embedded Systems
    Journal of Machine Learning Research, 25(50), 1–51, 2024
    @article{JMLR:v25:18-566,
      author = {Roth, Wolfgang and Schindler, G{{\"u}}nther and Klein, Bernhard and Peharz, Robert and Tschiatschek, Sebastian and Fr{\"{o}}ning, Holger and Pernkopf, Franz and Ghahramani, Zoubin},
      title = {Resource-Efficient Neural Networks for Embedded Systems},
      journal = {Journal of Machine Learning Research},
      year = {2024},
      volume = {25},
      number = {50},
      pages = {1--51},
      url = {http://jmlr.org/papers/v25/18-566.html},
    }
    
  3. Hendrik Borras, Bernhard Klein and Holger Fröning
    Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2024
    @inproceedings{borras2024,
      title = {Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics},
      author = {Borras, Hendrik and Klein, Bernhard and Fr{\"{o}}ning, Holger},
      booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
      year = {2024},
      series = {ECML-PKDD},
      url = {https://doi.org/10.1007/978-3-031-70359-1_3},
    }
    
  4. Sophie Steger, Christian Knoll, Bernhard Klein, Holger Fröning and Franz Pernkopf
    Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles
    ICML 2024 Workshop on Structured Probabilistic Inference & Generative Modeling, 2024
    @inproceedings{steger2024function,
      title = {Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles},
      author = {Steger, Sophie and Knoll, Christian and Klein, Bernhard and Fr{\"o}ning, Holger and Pernkopf, Franz},
      booktitle = {ICML 2024 Workshop on Structured Probabilistic Inference {\&} Generative Modeling},
      year = {2024},
      url = {https://openreview.net/forum?id=FbMN9HjgHI},
    }
    
  5. Frank Brückerhoff-Plückelmann, Hendrik Borras, Bernhard Klein, Akhil Varri, Marlon Becker, Jelle Dijkstra, Martin Brückerhoff, C. David Wright, Martin Salinga, Harish Bhaskaran, Benjamin Risse, Holger Fröning and Wolfram Pernice
    Probabilistic Photonic Computing with Chaotic Light
    CoRR, abs/2401.17915, 2024
    @article{brckerhoffplckelmann2024probabilistic,
      title = {Probabilistic Photonic Computing with Chaotic Light},
      author = {Brückerhoff-Plückelmann, Frank and Borras, Hendrik and Klein, Bernhard and Varri, Akhil and Becker, Marlon and Dijkstra, Jelle and Brückerhoff, Martin and Wright, C. David and Salinga, Martin and Bhaskaran, Harish and Risse, Benjamin and Fr{\"o}ning, Holger and Pernice, Wolfram},
      year = {2024},
      volume = {abs/2401.17915},
      journal = {CoRR},
      url = {https://arxiv.org/abs/2401.17915},
    }
    
  6. Yannick Emonds, Kai Xi and Holger Fröning
    Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification
    CoRR, abs/2401.05820, 2024
    @article{DBLP:journals/corr/abs-2401-05820,
      author = {Emonds, Yannick and Xi, Kai and Fröning, Holger},
      title = {Implications of Noise in Resistive Memory on Deep Neural Networks
                        for Image Classification},
      journal = {CoRR},
      volume = {abs/2401.05820},
      year = {2024},
      url = {https://arxiv.org/abs/2401.05820},
      doi = {10.48550/ARXIV.2401.05820},
      eprinttype = {arXiv},
      eprint = {2401.05820},
      timestamp = {Thu, 25 Jan 2024 00:00:00 +0100},
    }
    

2023

  1. S. Kazem Shekofteh, Christian Alles and Holger Fröning
    Reducing Memory Requirements for the IPU using Butterfly Factorizations
    SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, SC-W 2023, Denver, CO, USA, November 12-17, 2023, 1255–1263, ACM, 2023
    @inproceedings{DBLP:conf/sc/ShekoftehAF23,
      author = {Shekofteh, S. Kazem and Alles, Christian and Fr{\"{o}}ning, Holger},
      title = {Reducing Memory Requirements for the {IPU} using Butterfly Factorizations},
      booktitle = {{SC} '23 Workshops of The International Conference
                        on High Performance Computing, Network, Storage, and Analysis, {SC-W}
                        2023, Denver, CO, USA, November 12-17, 2023},
      pages = {1255--1263},
      publisher = {{ACM}},
      year = {2023},
      url = {https://doi.org/10.1145/3624062.3624196},
      doi = {10.1145/3624062.3624196},
      timestamp = {Tue, 28 Nov 2023 00:00:00 +0100},
    }
    
  2. Lisa Kuhn, Bernhard Klein and Holger Fröning
    On the Non-Associativity of Analog Computations
    CoRR, abs/2309.14292, 2023
    @article{DBLP:journals/corr/abs-2309-14292,
      author = {Kuhn, Lisa and Klein, Bernhard and Fr{\"{o}}ning, Holger},
      title = {On the Non-Associativity of Analog Computations},
      journal = {CoRR},
      volume = {abs/2309.14292},
      year = {2023},
      url = {https://arxiv.org/abs/2309.14292},
      doi = {10.48550/ARXIV.2309.14292},
      eprinttype = {arXiv},
      eprint = {2309.14292},
      timestamp = {Wed, 27 Sep 2023 01:00:00 +0200},
    }
    

2022

  1. Alessandro Pappalardo, Yaman Umuroglu, Michaela Blott, Jovan Mitrevski, Benjamin Hawks, Nhan Tran, Vladimir Loncar, Sioni Summers, Hendrik Borras, Jules Muhizi, Matthew Trahms, Shih-Chieh Hsu, Scott Hauck and Javier M. Duarte
    QONNX: Representing Arbitrary-Precision Quantized Neural Networks
    CoRR, abs/2206.07527, 2022
    @article{DBLP:journals/corr/abs-2206-07527,
      author = {Pappalardo, Alessandro and Umuroglu, Yaman and Blott, Michaela and Mitrevski, Jovan and Hawks, Benjamin and Tran, Nhan and Loncar, Vladimir and Summers, Sioni and Borras, Hendrik and Muhizi, Jules and Trahms, Matthew and Hsu, Shih{-}Chieh and Hauck, Scott and Duarte, Javier M.},
      title = {{QONNX:} Representing Arbitrary-Precision Quantized Neural Networks},
      journal = {CoRR},
      volume = {abs/2206.07527},
      year = {2022},
      url = {https://arxiv.org/abs/2206.07527},
      doi = {10.48550/ARXIV.2206.07527},
      eprinttype = {arXiv},
      eprint = {2206.07527},
      timestamp = {Tue, 21 Jun 2022 17:35:15 +0200},
    }
    
  2. Hendrik Borras, Giuseppe Di Guglielmo, Javier M. Duarte, Nicolò Ghielmetti, Benjamin Hawks, Scott Hauck, Shih-Chieh Hsu, Ryan Kastner, Jason Liang, Andres Meza, Jules Muhizi, Tai Nguyen, Rushil Roy, Nhan Tran, Yaman Umuroglu, Olivia Weng, Aidan Yokuda and Michaela Blott
    Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark
    CoRR, abs/2206.11791, 2022
    @article{DBLP:journals/corr/abs-2206-11791,
      author = {Borras, Hendrik and Guglielmo, Giuseppe Di and Duarte, Javier M. and Ghielmetti, Nicol{\`{o}} and Hawks, Benjamin and Hauck, Scott and Hsu, Shih{-}Chieh and Kastner, Ryan and Liang, Jason and Meza, Andres and Muhizi, Jules and Nguyen, Tai and Roy, Rushil and Tran, Nhan and Umuroglu, Yaman and Weng, Olivia and Yokuda, Aidan and Blott, Michaela},
      title = {Open-source {FPGA-ML} codesign for the MLPerf Tiny Benchmark},
      journal = {CoRR},
      volume = {abs/2206.11791},
      year = {2022},
      url = {https://arxiv.org/abs/2206.11791},
      doi = {10.48550/ARXIV.2206.11791},
      eprinttype = {arXiv},
      eprint = {2206.11791},
      timestamp = {Wed, 29 Jun 2022 11:10:54 +0200},
    }
    
  3. Torben Krieger, Bernhard Klein and Holger Fröning
    Towards Hardware-Specific Automatic Compression of Neural Networks
    CoRR, abs/2212.07818, 2022
    @article{DBLP:journals/corr/abs-2212-07818,
      author = {Krieger, Torben and Klein, Bernhard and Fr{\"{o}}ning, Holger},
      title = {Towards Hardware-Specific Automatic Compression of Neural Networks},
      journal = {CoRR},
      volume = {abs/2212.07818},
      year = {2022},
      url = {https://arxiv.org/abs/2212.07818},
      doi = {10.48550/ARXIV.2212.07818},
      eprinttype = {arXiv},
      eprint = {2212.07818},
      timestamp = {Mon, 02 Jan 2023 00:00:00 +0100},
    }
    

2021

  1. Bernhard Klein, Lisa Kuhn, Johannes Weis, Arne Emmel, Yannik Stradmann, Johannes Schemmel and Holger Fröning
    Towards Addressing Noise and Static Variations of Analog Computations Using Efficient Retraining
    Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Proceedings Part I (Communications in Computer and Information Science), 1524, 409–420, Springer, 2021
    @inproceedings{DBLP:conf/pkdd/KleinKWESSF21,
      author = {Klein, Bernhard and Kuhn, Lisa and Weis, Johannes and Emmel, Arne and Stradmann, Yannik and Schemmel, Johannes and Fr{\"{o}}ning, Holger},
      editor = {Kamp, Michael and Koprinska, Irena and Bibal, Adrien and Bouadi, Tassadit and Fr{\'{e}}nay, Beno{\^{\i}}t and Gal{\'{a}}rraga, Luis and Oramas, Jos{\'{e}} and Adilova, Linara and Krishnamurthy, Yamuna and Kang, Bo and Largeron, Christine and Lijffijt, Jefrey and Viard, Tiphaine and Welke, Pascal and Ruocco, Massimiliano and Aune, Erlend and Gallicchio, Claudio and Schiele, Gregor and Pernkopf, Franz and Blott, Michaela and Fr{\"{o}}ning, Holger and Schindler, G{\"{u}}nther and Guidotti, Riccardo and Monreale, Anna and Rinzivillo, Salvatore and Biecek, Przemyslaw and Ntoutsi, Eirini and Pechenizkiy, Mykola and Rosenhahn, Bodo and Buckley, Christopher L. and Cialfi, Daniela and Lanillos, Pablo and Ramstead, Maxwell and Verbelen, Tim and Ferreira, Pedro M. and Andresini, Giuseppina and Malerba, Donato and Medeiros, Ib{\'{e}}ria and Fournier{-}Viger, Philippe and Nawaz, M. Saqib and Ventura, Sebasti{\'{a}}n and Sun, Meng and Zhou, Min and Bitetta, Valerio and Bordino, Ilaria and Ferretti, Andrea and Gullo, Francesco and Ponti, Giovanni and Severini, Lorenzo and Ribeiro, Rita P. and Gama, Jo{\~{a}}o and Gavald{\`{a}}, Ricard and Cooper, Lee A. D. and Ghazaleh, Naghmeh and Richiardi, Jonas and Roqueiro, Damian and Miranda, Diego Saldana and Sechidis, Konstantinos and Gra{\c{c}}a, Guilherme},
      title = {Towards Addressing Noise and Static Variations of Analog Computations
                        Using Efficient Retraining},
      booktitle = {Machine Learning and Principles and Practice of Knowledge Discovery
                        in Databases - International Workshops of {ECML} {PKDD} 2021, Proceedings Part {I}},
      series = {Communications in Computer and Information Science},
      volume = {1524},
      pages = {409--420},
      publisher = {Springer},
      year = {2021},
      url = {https://doi.org/10.1007/978-3-030-93736-2_32},
      doi = {10.1007/978-3-030-93736-2\_32},
    }
    

2020

  1. Markus Huber, Günther Schindler, Christian Schörkhuber, Wolfgang Roth, Franz Pernkopf and Holger Fröning
    Towards Real-Time Single-Channel Singing-Voice Separation with Pruned Multi-Scaled Densenets
    2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020, 806–810, IEEE, 2020
    @inproceedings{DBLP:conf/icassp/HuberSSRPF20,
      author = {Huber, Markus and Schindler, G{\"{u}}nther and Sch{\"{o}}rkhuber, Christian and Roth, Wolfgang and Pernkopf, Franz and Fr{\"{o}}ning, Holger},
      title = {Towards Real-Time Single-Channel Singing-Voice Separation with Pruned
                        Multi-Scaled Densenets},
      booktitle = {2020 {IEEE} International Conference on Acoustics, Speech and Signal
                        Processing, {ICASSP} 2020, Barcelona, Spain, May 4-8, 2020},
      pages = {806--810},
      publisher = {{IEEE}},
      year = {2020},
      url = {https://doi.org/10.1109/ICASSP40776.2020.9053542},
      doi = {10.1109/ICASSP40776.2020.9053542},
      timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
    }
    
  2. Wolfgang Roth, Franz Pernkopf, Günther Schindler and Holger Fröning
    On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks
    25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021, 10297–10304, IEEE, 2020
    @inproceedings{DBLP:conf/icpr/RothPSF20,
      author = {Roth, Wolfgang and Pernkopf, Franz and Schindler, G{\"{u}}nther and Fr{\"{o}}ning, Holger},
      title = {On Resource-Efficient Bayesian Network Classifiers and Deep Neural
                        Networks},
      booktitle = {25th International Conference on Pattern Recognition, {ICPR} 2020,
                        Virtual Event / Milan, Italy, January 10-15, 2021},
      pages = {10297--10304},
      publisher = {{IEEE}},
      year = {2020},
      url = {https://doi.org/10.1109/ICPR48806.2021.9413156},
      doi = {10.1109/ICPR48806.2021.9413156},
      timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
    }
    
  3. Günther Schindler, Wolfgang Roth, Franz Pernkopf and Holger Fröning
    Parameterized Structured Pruning for Deep Neural Networks
    Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II (Lecture Notes in Computer Science), 12566, 16–27, Springer, 2020
    @inproceedings{DBLP:conf/mod/SchindlerRPF20,
      author = {Schindler, G{\"{u}}nther and Roth, Wolfgang and Pernkopf, Franz and Fr{\"{o}}ning, Holger},
      editor = {Nicosia, Giuseppe and Ojha, Varun and Malfa, Emanuele La and Jansen, Giorgio and Sciacca, Vincenzo and Pardalos, Panos M. and Giuffrida, Giovanni and Umeton, Renato},
      title = {Parameterized Structured Pruning for Deep Neural Networks},
      booktitle = {Machine Learning, Optimization, and Data Science - 6th International
                        Conference, {LOD} 2020, Siena, Italy, July 19-23, 2020, Revised Selected
                        Papers, Part {II}},
      series = {Lecture Notes in Computer Science},
      volume = {12566},
      pages = {16--27},
      publisher = {Springer},
      year = {2020},
      url = {https://doi.org/10.1007/978-3-030-64580-9\_3},
      doi = {10.1007/978-3-030-64580-9\_3},
      timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
    }
    
  4. Kevin Stehle, Günther Schindler and Holger Fröning
    On the Difficulty of Designing Processor Arrays for Deep Neural Networks
    IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers (Communications in Computer and Information Science), 1325, 229–240, Springer, 2020
    @inproceedings{DBLP:conf/pkdd/StehleSF20,
      author = {Stehle, Kevin and Schindler, G{\"{u}}nther and Fr{\"{o}}ning, Holger},
      editor = {Gama, Jo{\~{a}}o and Pashami, Sepideh and Bifet, Albert and {Sayed Mouchaweh}, Moamar and Fr{\"{o}}ning, Holger and Pernkopf, Franz and Schiele, Gregor and Blott, Michaela},
      title = {On the Difficulty of Designing Processor Arrays for Deep Neural Networks},
      booktitle = {IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge,
                        and Mobile for Embedded Machine Learning - Second International Workshop,
                        IoT Streams 2020, and First International Workshop, {ITEM} 2020, Co-located
                        with {ECML/PKDD} 2020, Ghent, Belgium, September 14-18, 2020, Revised
                        Selected Papers},
      series = {Communications in Computer and Information Science},
      volume = {1325},
      pages = {229--240},
      publisher = {Springer},
      year = {2020},
      url = {https://doi.org/10.1007/978-3-030-66770-2\_17},
      doi = {10.1007/978-3-030-66770-2\_17},
      timestamp = {Mon, 15 Feb 2021 00:00:00 +0100},
    }
    
  5. Wolfgang Roth, Günther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf and Zoubin Ghahramani
    Resource-Efficient Neural Networks for Embedded Systems
    CoRR, abs/2001.03048, 2020
    @article{DBLP:journals/corr/abs-2001-03048,
      author = {Roth, Wolfgang and Schindler, G{\"{u}}nther and Z{\"{o}}hrer, Matthias and Pfeifenberger, Lukas and Peharz, Robert and Tschiatschek, Sebastian and Fr{\"{o}}ning, Holger and Pernkopf, Franz and Ghahramani, Zoubin},
      title = {Resource-Efficient Neural Networks for Embedded Systems},
      journal = {CoRR},
      volume = {abs/2001.03048},
      year = {2020},
      url = {http://arxiv.org/abs/2001.03048},
      eprinttype = {arXiv},
      eprint = {2001.03048},
      timestamp = {Mon, 13 Jan 2020 00:00:00 +0100},
    }
    
  6. Lukas Pfeifenberger, Matthias Zöhrer, Günther Schindler, Wolfgang Roth, Holger Fröning and Franz Pernkopf
    Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement
    CoRR, abs/2007.11477, 2020
    @article{DBLP:journals/corr/abs-2007-11477,
      author = {Pfeifenberger, Lukas and Z{\"{o}}hrer, Matthias and Schindler, G{\"{u}}nther and Roth, Wolfgang and Fr{\"{o}}ning, Holger and Pernkopf, Franz},
      title = {Resource-Efficient Speech Mask Estimation for Multi-Channel Speech
                        Enhancement},
      journal = {CoRR},
      volume = {abs/2007.11477},
      year = {2020},
      url = {https://arxiv.org/abs/2007.11477},
      eprinttype = {arXiv},
      eprint = {2007.11477},
      timestamp = {Wed, 29 Jul 2020 01:00:00 +0200},
    }
    

2019

  1. Wolfgang Roth, Günther Schindler, Holger Fröning and Franz Pernkopf
    Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions
    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II (Lecture Notes in Computer Science), 11907, 382–398, Springer, 2019
    @inproceedings{DBLP:conf/pkdd/RothSFP19,
      author = {Roth, Wolfgang and Schindler, G{\"{u}}nther and Fr{\"{o}}ning, Holger and Pernkopf, Franz},
      editor = {Brefeld, Ulf and {\'{E}}lisa Fromont and Hotho, Andreas and Knobbe, Arno J. and Maathuis, Marloes H. and Robardet, C{\'{e}}line},
      title = {Training Discrete-Valued Neural Networks with Sign Activations Using
                        Weight Distributions},
      booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference,
                        {ECML} {PKDD} 2019, W{\"{u}}rzburg, Germany, September 16-20, 2019,
                        Proceedings, Part {II}},
      series = {Lecture Notes in Computer Science},
      volume = {11907},
      pages = {382--398},
      publisher = {Springer},
      year = {2019},
      url = {https://doi.org/10.1007/978-3-030-46147-8\_23},
      doi = {10.1007/978-3-030-46147-8\_23},
      timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
    }
    

2018

  1. Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning and Franz Pernkopf
    Resource Efficient Deep Eigenvector Beamforming
    2018 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2018, Calgary, AB, Canada, April 15-20, 2018, 3354–3358, IEEE, 2018
    @inproceedings{DBLP:conf/icassp/ZohrerPSFP18,
      author = {Z{\"{o}}hrer, Matthias and Pfeifenberger, Lukas and Schindler, G{\"{u}}nther and Fr{\"{o}}ning, Holger and Pernkopf, Franz},
      title = {Resource Efficient Deep Eigenvector Beamforming},
      booktitle = {2018 {IEEE} International Conference on Acoustics, Speech and Signal
                        Processing, {ICASSP} 2018, Calgary, AB, Canada, April 15-20, 2018},
      pages = {3354--3358},
      publisher = {{IEEE}},
      year = {2018},
      url = {https://doi.org/10.1109/ICASSP.2018.8462503},
      doi = {10.1109/ICASSP.2018.8462503},
      timestamp = {Wed, 16 Oct 2019 14:14:52 +0200},
    }
    
  2. Günther Schindler, Matthias Zöhrer, Franz Pernkopf and Holger Fröning
    Towards Efficient Forward Propagation on Resource-Constrained Systems
    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I (Lecture Notes in Computer Science), 11051, 426–442, Springer, 2018
    @inproceedings{DBLP:conf/pkdd/SchindlerZPF18,
      author = {Schindler, G{\"{u}}nther and Z{\"{o}}hrer, Matthias and Pernkopf, Franz and Fr{\"{o}}ning, Holger},
      editor = {Berlingerio, Michele and Bonchi, Francesco and G{\"{a}}rtner, Thomas and Hurley, Neil and Ifrim, Georgiana},
      title = {Towards Efficient Forward Propagation on Resource-Constrained Systems},
      booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference,
                        {ECML} {PKDD} 2018, Dublin, Ireland, September 10-14, 2018, Proceedings,
                        Part {I}},
      series = {Lecture Notes in Computer Science},
      volume = {11051},
      pages = {426--442},
      publisher = {Springer},
      year = {2018},
      url = {https://doi.org/10.1007/978-3-030-10925-7\_26},
      doi = {10.1007/978-3-030-10925-7\_26},
      timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
    }
    
  3. Franz Pernkopf, Wolfgang Roth, Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina and Zoubin Ghahramani
    Efficient and Robust Machine Learning for Real-World Systems
    CoRR, abs/1812.02240, 2018
    @article{DBLP:journals/corr/abs-1812-02240,
      author = {Pernkopf, Franz and Roth, Wolfgang and Z{\"{o}}hrer, Matthias and Pfeifenberger, Lukas and Schindler, G{\"{u}}nther and Fr{\"{o}}ning, Holger and Tschiatschek, Sebastian and Peharz, Robert and Mattina, Matthew and Ghahramani, Zoubin},
      title = {Efficient and Robust Machine Learning for Real-World Systems},
      journal = {CoRR},
      volume = {abs/1812.02240},
      year = {2018},
      url = {http://arxiv.org/abs/1812.02240},
      eprinttype = {arXiv},
      eprint = {1812.02240},
      timestamp = {Tue, 01 Jan 2019 00:00:00 +0100},
    }
    

2017

  1. Günther Schindler, Manfred Mücke and Holger Fröning
    Linking Application Description with Efficient SIMD Code Generation for Low-Precision Signed-Integer GEMM
    Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops, Santiago de Compostela, Spain, August 28-29, 2017, Revised Selected Papers (Lecture Notes in Computer Science), 10659, 688–699, Springer, 2017
    @inproceedings{DBLP:conf/europar/SchindlerMF17,
      author = {Schindler, G{\"{u}}nther and M{\"{u}}cke, Manfred and Fr{\"{o}}ning, Holger},
      editor = {Heras, Dora Blanco and Boug{\'{e}}, Luc and Mencagli, Gabriele and Jeannot, Emmanuel and Sakellariou, Rizos and Badia, Rosa M. and Barbosa, Jorge G. and Ricci, Laura and Scott, Stephen L. and Lankes, Stefan and Weidendorfer, Josef},
      title = {Linking Application Description with Efficient {SIMD} Code Generation
                        for Low-Precision Signed-Integer {GEMM}},
      booktitle = {Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International
                        Workshops, Santiago de Compostela, Spain, August 28-29, 2017, Revised
                        Selected Papers},
      series = {Lecture Notes in Computer Science},
      volume = {10659},
      pages = {688--699},
      publisher = {Springer},
      year = {2017},
      url = {https://doi.org/10.1007/978-3-319-75178-8\_55},
      doi = {10.1007/978-3-319-75178-8\_55},
      timestamp = {Thu, 14 Oct 2021 10:28:38 +0200},
    }