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η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities.

X. Zhang, H. Xia, D. Zhuang, H. Sun, X. Fu, M. Taylor, and S. Song. ISCA, page 567-580. IEEE, (2021)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Shuying Zhang

Chengdian Zhang

Zhiqiang Zhang

Other publications of authors with the same name

Characterizing, modeling, and improving the QoE of mobile devices with low battery level.K. Yan, X. Zhang, and X. Fu. MICRO, page 713-724. ACM, (2015)Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving.Q. Wan, H. Xia, X. Zhang, L. Wang, S. Song, and X. Fu. MICRO, page 885-897. ACM, (2021)Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency.Z. Xiao, L. Shou, X. Zhang, J. Wu, M. Gong, and D. Jiang. EMNLP (Findings), page 7480-7492. Association for Computational Linguistics, (2023)Class Imbalance Data-Generation for Software Defect Prediction.Z. Li, X. Zhang, J. Guo, and Y. Shang. APSEC, page 276-283. IEEE, (2019)Randomness in Neural Network Training: Characterizing the Impact of Tooling.D. Zhuang, X. Zhang, S. Song, and S. Hooker. MLSys, mlsys.org, (2022)A Static Model of a Notched Continuum Robot with Non-Constant Curvature for Minimally Invasive Surgery: Base on Taylor Expansion Approach.X. Zhang, G. Zhang, T. Zhang, F. Du, R. Song, and Y. Li. ICARM, page 1006-1010. IEEE, (2023)MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.X. Tang, A. Zou, Z. Zhang, Y. Zhao, X. Zhang, A. Cohan, and M. Gerstein. CoRR, (2023)Toward Customized Hybrid Fuel-Cell and Battery-powered Mobile Device for Individual Users.K. Yan, J. Tan, L. Liu, X. Zhang, S. Brankovic, J. Chen, and X. Fu. ACM Trans. Embed. Comput. Syst., 18 (6): 123:1-123:20 (2020)Patient-Trial Matching with Deep Embedding and Entailment Prediction.X. Zhang, C. Xiao, L. Glass, and J. Sun. WWW, page 1029-1037. ACM / IW3C2, (2020)Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design.X. Zhang, S. Song, C. Xie, J. Wang, W. Zhang, and X. Fu. HPCA, page 542-555. IEEE, (2020)

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Disambiguation of "Zhang, Xingyao"

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η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Chengdian Zhang

Zhiqiang Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Xingyao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Chengdian Zhang

Zhiqiang Zhang

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
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APA
Chicago
DIN 1505
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η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities.