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MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI.
V. Reddi, D. Kanter, P. Mattson, J. Duke, T. Nguyen, R. Chukka, K. Shiring, K. Tan, M. Charlebois, W. Chou, M. El-Khamy, J. Hong, T. John, C. Trinh, M. Buch, M. Mazumder, R. Markovic, T. Atta fosu, F. Çakir, M. Charkhabi, X. Chen, C. Chiang, D. Dexter, T. Heo, G. Schmuelling, M. Shabani, und D. Zika.MLSys, mlsys.org, (2022)
Metadaten
- BibTeX-Schlüssel
- conf/mlsys/ReddiKMDNCSTCCE22
- Eintragstyp
- inproceedings
- Buchtitel
- MLSys
- Jahr
- 2022
- Verlag
- mlsys.org
- BibTeX-Querverweis
- conf/mlsys/2022
- ee
- https://proceedings.mlsys.org/paper_files/paper/2022/hash/a2b2702ea7e682c5ea2c20e8f71efb0c-Abstract.html
- URL
- http://dblp.uni-trier.de/db/conf/mlsys/mlsys2022.html#ReddiKMDNCSTCCE22
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%1 conf/mlsys/ReddiKMDNCSTCCE22
%A Reddi, Vijay Janapa
%A Kanter, David
%A Mattson, Peter
%A Duke, Jared
%A Nguyen, Thai
%A Chukka, Ramesh
%A Shiring, Kenneth
%A Tan, Koan-Sin
%A Charlebois, Mark
%A Chou, William
%A El-Khamy, Mostafa
%A Hong, Jungwook
%A John, Tom St.
%A Trinh, Cindy
%A Buch, Michael
%A Mazumder, Mark
%A Markovic, Relja
%A Atta fosu, Thomas
%A Çakir, Fatih
%A Charkhabi, Masoud
%A Chen, Xiaodong
%A Chiang, Cheng-Ming
%A Dexter, Dave
%A Heo, Terry
%A Schmuelling, Guenther
%A Shabani, Maryam
%A Zika, Dylan
%B MLSys
%D 2022
%E Marculescu, Diana
%E Chi, Yuejie
%E Wu, Carole-Jean
%I mlsys.org
%K dblp
%T MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI.
%U http://dblp.uni-trier.de/db/conf/mlsys/mlsys2022.html#ReddiKMDNCSTCCE22
@inproceedings{conf/mlsys/ReddiKMDNCSTCCE22,
added-at = {2024-05-13T00:00:00.000+0200},
author = {Reddi, Vijay Janapa and Kanter, David and Mattson, Peter and Duke, Jared and Nguyen, Thai and Chukka, Ramesh and Shiring, Kenneth and Tan, Koan-Sin and Charlebois, Mark and Chou, William and El-Khamy, Mostafa and Hong, Jungwook and John, Tom St. and Trinh, Cindy and Buch, Michael and Mazumder, Mark and Markovic, Relja and Atta fosu, Thomas and Çakir, Fatih and Charkhabi, Masoud and Chen, Xiaodong and Chiang, Cheng-Ming and Dexter, Dave and Heo, Terry and Schmuelling, Guenther and Shabani, Maryam and Zika, Dylan},
biburl = {https://www.bibsonomy.org/bibtex/280441793bde0275bb754d9a3cd114409/dblp},
booktitle = {MLSys},
crossref = {conf/mlsys/2022},
editor = {Marculescu, Diana and Chi, Yuejie and Wu, Carole-Jean},
ee = {https://proceedings.mlsys.org/paper_files/paper/2022/hash/a2b2702ea7e682c5ea2c20e8f71efb0c-Abstract.html},
interhash = {bf9332c1adc7ef0cf1264f9709d3d07d},
intrahash = {80441793bde0275bb754d9a3cd114409},
keywords = {dblp},
publisher = {mlsys.org},
timestamp = {2024-07-01T07:12:52.000+0200},
title = {MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI.},
url = {http://dblp.uni-trier.de/db/conf/mlsys/mlsys2022.html#ReddiKMDNCSTCCE22},
year = 2022
}