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Machine Learning at Facebook: Understanding Inference at the Edge.

C. Wu, D. Brooks, K. Chen, D. Chen, S. Choudhury, M. Dukhan, K. Hazelwood, E. Isaac, Y. Jia, B. Jia, T. Leyvand, H. Lu, Y. Lu, L. Qiao, B. Reagen, J. Spisak, F. Sun, A. Tulloch, P. Vajda, X. Wang, Y. Wang, B. Wasti, Y. Wu, R. Xian, S. Yoo, and P. Zhang. HPCA, page 331-344. IEEE, (2019)

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Andrew Singer

Andrew Torda

Andrew Cato

Andrew May

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Other publications of authors with the same name

Accurate Low-Rank Approximations Via a Few Iterations of Alternating Least Squares.A. Szlam, A. Tulloch, and M. Tygert. SIAM J. Matrix Anal. Appl., 38 (2): 425-433 (2017)Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications.J. Park, M. Naumov, P. Basu, S. Deng, A. Kalaiah, D. Khudia, J. Law, P. Malani, A. Malevich, N. Satish and 18 other author(s). CoRR, (2018)On Periodic Functions as Regularizers for Quantization of Neural Networks.M. Naumov, U. Diril, J. Park, B. Ray, J. Jablonski, and A. Tulloch. CoRR, (2018)Mixed-Precision Embedding Using a Cache.J. Yang, J. Huang, J. Park, P. Tang, and A. Tulloch. CoRR, (2020)Machine Learning at Facebook: Understanding Inference at the Edge.C. Wu, D. Brooks, K. Chen, D. Chen, S. Choudhury, M. Dukhan, K. Hazelwood, E. Isaac, Y. Jia, B. Jia and 16 other author(s). HPCA, page 331-344. IEEE, (2019)MTrainS: Improving DLRM training efficiency using heterogeneous memories.H. Kassa, P. Johnson, J. Akers, M. Ghosh, A. Tulloch, D. Mudigere, J. Park, X. Liu, R. Dreslinski, and E. Ardestani. CoRR, (2023)Accurate principal component analysis via a few iterations of alternating least squares.A. Szlam, A. Tulloch, and M. Tygert. CoRR, (2016)High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.D. Mudigere, Y. Hao, J. Huang, A. Tulloch, S. Sridharan, X. Liu, M. Ozdal, J. Nie, J. Park, L. Luo and 41 other author(s). CoRR, (2021)Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition.B. Xu, A. Tulloch, Y. Chen, X. Yang, and L. Qiao. CoRR, (2019)Software-hardware co-design for fast and scalable training of deep learning recommendation models.D. Mudigere, Y. Hao, J. Huang, Z. Jia, A. Tulloch, S. Sridharan, X. Liu, M. Ozdal, J. Nie, J. Park and 43 other author(s). ISCA, page 993-1011. ACM, (2022)

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Disambiguation of "Tulloch, Andrew"

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Machine Learning at Facebook: Understanding Inference at the Edge.

Please choose a person to relate this publication to

Andrew Singer

Andrew Torda

Andrew Cato

Andrew May

Andrew Muwanga

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tulloch, Andrew"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Machine Learning at Facebook: Understanding Inference at the Edge.

Please choose a person to relate this publication to

Andrew Singer

Andrew Torda

Andrew Cato

Andrew May

Andrew Muwanga

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Machine Learning at Facebook: Understanding Inference at the Edge.