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An Energy-Efficient Transformer Processor Exploiting Dynamic Weak Relevances in Global Attention.

Y. Wang, Y. Qin, D. Deng, J. Wei, Y. Zhou, Y. Fan, T. Chen, H. Sun, L. Liu, S. Wei, and S. Yin. IEEE J. Solid State Circuits, 58 (1): 227-242 (2023)

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Zhiguo Deng

Yiming Deng

Petra Deng

Ming Deng

Mario Deng

Other publications of authors with the same name

A 28nm 77.35TOPS/W Similar Vectors Traceable Transformer Processor with Principal-Component-Prior Speculating and Dynamic Bit-wise Stationary Computing.Y. Wang, Y. Qin, D. Deng, X. Yang, Z. Zhao, R. Guo, Z. Yue, L. Liu, S. Wei, Y. Hu and 1 other author(s). VLSI Technology and Circuits, page 1-2. IEEE, (2023)A 28nm 49.7TOPS/W Sparse Transformer Processor with Random-Projection-Based Speculation, Multi-Stationary Dataflow, and Redundant Partial Product Elimination.Y. Qin, Y. Wang, D. Deng, X. Yang, Z. Zhao, Y. Zhou, Y. Fan, J. Wei, T. Chen, L. Liu and 3 other author(s). A-SSCC, page 1-3. IEEE, (2023)An Energy-Efficient Transformer Processor Exploiting Dynamic Weak Relevances in Global Attention.Y. Wang, Y. Qin, D. Deng, J. Wei, Y. Zhou, Y. Fan, T. Chen, H. Sun, L. Liu, S. Wei and 1 other author(s). IEEE J. Solid State Circuits, 58 (1): 227-242 (2023)PL-NPU: An Energy-Efficient Edge-Device DNN Training Processor With Posit-Based Logarithm-Domain Computing.Y. Wang, D. Deng, L. Liu, S. Wei, and S. Yin. IEEE Trans. Circuits Syst. I Regul. Pap., 69 (10): 4042-4055 (2022)Trainer: An Energy-Efficient Edge-Device Training Processor Supporting Dynamic Weight Pruning.Y. Wang, Y. Qin, D. Deng, J. Wei, T. Chen, X. Lin, L. Liu, S. Wei, and S. Yin. IEEE J. Solid State Circuits, 57 (10): 3164-3178 (2022)LPE: Logarithm Posit Processing Element for Energy-Efficient Edge-Device Training.Y. Wang, D. Deng, L. Liu, S. Wei, and S. Yin. AICAS, page 1-4. IEEE, (2021)A 28nm 276.55TFLOPS/W Sparse Deep-Neural-Network Training Processor with Implicit Redundancy Speculation and Batch Normalization Reformulation.Y. Wang, Y. Qin, D. Deng, J. Wei, T. Chen, X. Lin, L. Liu, S. Wei, and S. Yin. VLSI Circuits, page 1-2. IEEE, (2021)FACT: FFN-Attention Co-optimized Transformer Architecture with Eager Correlation Prediction.Y. Qin, Y. Wang, D. Deng, Z. Zhao, X. Yang, L. Liu, S. Wei, Y. Hu, and S. Yin. ISCA, page 22:1-22:14. ACM, (2023)A 28nm 27.5TOPS/W Approximate-Computing-Based Transformer Processor with Asymptotic Sparsity Speculating and Out-of-Order Computing.Y. Wang, Y. Qin, D. Deng, J. Wei, Y. Zhou, Y. Fan, T. Chen, H. Sun, L. Liu, S. Wei and 1 other author(s). ISSCC, page 1-3. IEEE, (2022)

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Disambiguation of "Deng, Dazheng"

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An Energy-Efficient Transformer Processor Exploiting Dynamic Weak Relevances in Global Attention.

Please choose a person to relate this publication to

Zhiguo Deng

Yiming Deng

Petra Deng

Ming Deng

Mario Deng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Deng, Dazheng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An Energy-Efficient Transformer Processor Exploiting Dynamic Weak Relevances in Global Attention.

Please choose a person to relate this publication to

Zhiguo Deng

Yiming Deng

Petra Deng

Ming Deng

Mario Deng

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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An Energy-Efficient Transformer Processor Exploiting Dynamic Weak Relevances in Global Attention.