BibTeX records: David Kanter

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@article{DBLP:journals/micro/MattsonTWWRCCDK20,
  author    = {Peter Mattson and
               Hanlin Tang and
               Gu{-}Yeon Wei and
               Carole{-}Jean Wu and
               Vijay Janapa Reddi and
               Christine Cheng and
               Cody Coleman and
               Greg Diamos and
               David Kanter and
               Paulius Micikevicius and
               David A. Patterson and
               Guenther Schmuelling},
  title     = {MLPerf: An Industry Standard Benchmark Suite for Machine Learning
               Performance},
  journal   = {{IEEE} Micro},
  volume    = {40},
  number    = {2},
  pages     = {8--16},
  year      = {2020},
  url       = {https://doi.org/10.1109/MM.2020.2974843},
  doi       = {10.1109/MM.2020.2974843},
  timestamp = {Sat, 28 Mar 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/micro/MattsonTWWRCCDK20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2003-04821,
  author    = {Colby R. Banbury and
               Vijay Janapa Reddi and
               Max Lam and
               William Fu and
               Amin Fazel and
               Jeremy Holleman and
               Xinyuan Huang and
               Robert Hurtado and
               David Kanter and
               Anton Lokhmotov and
               David A. Patterson and
               Danilo Pau and
               Jae{-}sun Seo and
               Jeff Sieracki and
               Urmish Thakker and
               Marian Verhelst and
               Poonam Yadav},
  title     = {Benchmarking TinyML Systems: Challenges and Direction},
  journal   = {CoRR},
  volume    = {abs/2003.04821},
  year      = {2020},
  url       = {https://arxiv.org/abs/2003.04821},
  archivePrefix = {arXiv},
  eprint    = {2003.04821},
  timestamp = {Tue, 17 Mar 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2003-04821.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1910-01500,
  author    = {Peter Mattson and
               Christine Cheng and
               Cody Coleman and
               Greg Diamos and
               Paulius Micikevicius and
               David A. Patterson and
               Hanlin Tang and
               Gu{-}Yeon Wei and
               Peter Bailis and
               Victor Bittorf and
               David Brooks and
               Dehao Chen and
               Debojyoti Dutta and
               Udit Gupta and
               Kim M. Hazelwood and
               Andrew Hock and
               Xinyuan Huang and
               Bill Jia and
               Daniel Kang and
               David Kanter and
               Naveen Kumar and
               Jeffery Liao and
               Guokai Ma and
               Deepak Narayanan and
               Tayo Oguntebi and
               Gennady Pekhimenko and
               Lillian Pentecost and
               Vijay Janapa Reddi and
               Taylor Robie and
               Tom St. John and
               Carole{-}Jean Wu and
               Lingjie Xu and
               Cliff Young and
               Matei Zaharia},
  title     = {MLPerf Training Benchmark},
  journal   = {CoRR},
  volume    = {abs/1910.01500},
  year      = {2019},
  url       = {http://arxiv.org/abs/1910.01500},
  archivePrefix = {arXiv},
  eprint    = {1910.01500},
  timestamp = {Mon, 04 Nov 2019 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1910-01500.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1911-02549,
  author    = {Vijay Janapa Reddi and
               Christine Cheng and
               David Kanter and
               Peter Mattson and
               Guenther Schmuelling and
               Carole{-}Jean Wu and
               Brian Anderson and
               Maximilien Breughe and
               Mark Charlebois and
               William Chou and
               Ramesh Chukka and
               Cody Coleman and
               Sam Davis and
               Pan Deng and
               Greg Diamos and
               Jared Duke and
               Dave Fick and
               J. Scott Gardner and
               Itay Hubara and
               Sachin Idgunji and
               Thomas B. Jablin and
               Jeff Jiao and
               Tom St. John and
               Pankaj Kanwar and
               David Lee and
               Jeffery Liao and
               Anton Lokhmotov and
               Francisco Massa and
               Peng Meng and
               Paulius Micikevicius and
               Colin Osborne and
               Gennady Pekhimenko and
               Arun Tejusve Raghunath Rajan and
               Dilip Sequeira and
               Ashish Sirasao and
               Fei Sun and
               Hanlin Tang and
               Michael Thomson and
               Frank Wei and
               Ephrem Wu and
               Lingjie Xu and
               Koichi Yamada and
               Bing Yu and
               George Yuan and
               Aaron Zhong and
               Peizhao Zhang and
               Yuchen Zhou},
  title     = {MLPerf Inference Benchmark},
  journal   = {CoRR},
  volume    = {abs/1911.02549},
  year      = {2019},
  url       = {http://arxiv.org/abs/1911.02549},
  archivePrefix = {arXiv},
  eprint    = {1911.02549},
  timestamp = {Mon, 11 Nov 2019 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1911-02549.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icls/KolodnerSEHKKLLLRRSSZ08,
  author    = {Janet L. Kolodner and
               Mary L. Starr and
               Daniel C. Edelson and
               Barbara Hug and
               David Kanter and
               Joseph Krajcik and
               Juliana A. Lancaster and
               Thomas A. Laster and
               Jennifer Leimberer and
               Brian J. Reiser and
               Michael T. Ryan and
               Rebecca Schneider and
               LeeAnn M. Sutherland and
               Barbara Zahm},
  editor    = {Paul A. Kirschner and
               Jeroen J. G. van Merri{\"{e}}nboer and
               Ton de Jong},
  title     = {Implementing what we know about learning in a middle-school curriculum
               for widespread dissemination: the project-based inquiry science {(PBIS)}
               story},
  booktitle = {Cre8ing a learning world: Proceedings of the 8th International Conference
               for the Learning Sciences, {ICLS} '08, Utrecht, The Netherlands, June
               23-28, 2008, Volume 3},
  pages     = {274--281},
  publisher = {International Society of the Learning Sciences},
  year      = {2008},
  url       = {http://dl.acm.org/citation.cfm?id=1600028},
  timestamp = {Thu, 12 Jan 2012 13:57:04 +0100},
  biburl    = {https://dblp.org/rec/conf/icls/KolodnerSEHKKLLLRRSSZ08.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
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