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TNPU: an efficient accelerator architecture for training convolutional neural networks.

J. Li, G. Yan, W. Lu, S. Jiang, S. Gong, J. Wu, J. Yan, and X. Li. ASP-DAC, page 450-455. ACM, (2019)

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Hanchuan Wu University of Stuttgart

Yongxiang Wu University of Stuttgart

Tim Würtele University of Stuttgart

Amelie Wührl University of Stuttgart

PD Dr. phil. Joachim Wündisch University of Stuttgart

Other publications of authors with the same name

SmartShuttle: Optimizing off-chip memory accesses for deep learning accelerators.J. Li, G. Yan, W. Lu, S. Jiang, S. Gong, J. Wu, and X. Li. DATE, page 343-348. IEEE, (2018)A Method for Retrieving Vertical Air Velocities in Convective Clouds over the Tibetan Plateau from TIPEX-III Cloud Radar Doppler Spectra.J. Zheng, L. Liu, K. Zhu, J. Wu, and B. Wang. Remote Sensing, 9 (9): 964 (2017)SynergyFlow: An Elastic Accelerator Architecture Supporting Batch Processing of Large-Scale Deep Neural Networks.J. Li, G. Yan, W. Lu, S. Gong, S. Jiang, J. Wu, and X. Li. ACM Trans. Design Autom. Electr. Syst., 24 (1): 8:1-8:27 (2019)CCR: A concise convolution rule for sparse neural network accelerators.J. Li, G. Yan, W. Lu, S. Jiang, S. Gong, J. Wu, and X. Li. DATE, page 189-194. IEEE, (2018)Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks.W. Lu, G. Yan, J. Li, S. Gong, S. Jiang, J. Wu, and X. Li. IEEE Trans. Computers, 68 (6): 867-881 (2019)Creative Computing and Society: When Undergraduates Design a Curriculum for an Introductory Computing Course.S. Magnotta, A. Sharma, J. Wu, and D. Mir. SIGCSE, page 773-774. ACM, (2017)SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules.J. Li, S. Jiang, S. Gong, J. Wu, J. Yan, G. Yan, and X. Li. IEEE Trans. Computers, 68 (11): 1663-1677 (2019)TNPU: an efficient accelerator architecture for training convolutional neural networks.J. Li, G. Yan, W. Lu, S. Jiang, S. Gong, J. Wu, J. Yan, and X. Li. ASP-DAC, page 450-455. ACM, (2019)

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Disambiguation of "Wu, Jingya"

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TNPU: an efficient accelerator architecture for training convolutional neural networks.

Please choose a person to relate this publication to

Hanchuan Wu University of Stuttgart

Yongxiang Wu University of Stuttgart

Tim Würtele University of Stuttgart

Amelie Wührl University of Stuttgart

PD Dr. phil. Joachim Wündisch University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Wu, Jingya"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML TNPU: an efficient accelerator architecture for training convolutional neural networks.

Please choose a person to relate this publication to

Hanchuan Wu University of Stuttgart

Yongxiang Wu University of Stuttgart

Tim Würtele University of Stuttgart

Amelie Wührl University of Stuttgart

PD Dr. phil. Joachim Wündisch University of Stuttgart

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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MSOffice XML

TNPU: an efficient accelerator architecture for training convolutional neural networks.