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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, J. Yang, L. Gao, D. Ivchenko, A. Basant, Y. Hu, J. Yang, E. Ardestani, X. Wang, R. Komuravelli, C. Chu, S. Yilmaz, H. Li, J. Qian, Z. Feng, Y. Ma, J. Yang, E. Wen, H. Li, L. Yang, C. Sun, W. Zhao, D. Melts, K. Dhulipala, K. Kishore, T. Graf, A. Eisenman, K. Matam, A. Gangidi, G. Chen, M. Krishnan, A. Nayak, K. Nair, B. Muthiah, M. khorashadi, P. Bhattacharya, P. Lapukhov, M. Naumov, L. Qiao, M. Smelyanskiy, B. Jia, and V. Rao. CoRR, (2021)

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Klaus Jäde

Susanne Jäde

Kathrin Jäde

Paul Jäde

Lutz Jäde

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Understanding Training Efficiency of Deep Learning Recommendation Models at Scale.B. Acun, M. Murphy, X. Wang, J. Nie, C. Wu, and K. Hazelwood. CoRR, (2020)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)AutoShard: Automated Embedding Table Sharding for Recommender Systems.D. Zha, L. Feng, B. Bhushanam, D. Choudhary, J. Nie, Y. Tian, J. Chae, Y. Ma, A. Kejariwal, and X. Hu. KDD, page 4461-4471. ACM, (2022)Wukong: Towards a Scaling Law for Large-Scale Recommendation.B. Zhang, L. Luo, Y. Chen, J. Nie, X. Liu, D. Guo, Y. Zhao, S. Li, Y. Hao, Y. Yao and 5 other author(s). CoRR, (2024)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)Understanding Training Efficiency of Deep Learning Recommendation Models at Scale.B. Acun, M. Murphy, X. Wang, J. Nie, C. Wu, and K. Hazelwood. HPCA, page 802-814. IEEE, (2021)Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms.S. Rashidi, M. Denton, S. Sridharan, S. Srinivasan, A. Suresh, J. Nie, and T. Krishna. ISCA, page 540-553. IEEE, (2021)Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.D. Zha, L. Feng, L. Luo, B. Bhushanam, Z. Liu, Y. Hu, J. Nie, Y. Huang, Y. Tian, A. Kejariwal and 1 other author(s). CoRR, (2023)

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Disambiguation of "Nie, Jade"

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High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.

Please choose a person to relate this publication to

Klaus Jäde

Susanne Jäde

Kathrin Jäde

Paul Jäde

Lutz Jäde

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Nie, Jade"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.

Please choose a person to relate this publication to

Klaus Jäde

Susanne Jäde

Kathrin Jäde

Paul Jäde

Lutz Jäde

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.