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IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization.

F. Liu, W. Zhao, Z. Wang, Y. Zhao, T. Yang, Y. Chen, and L. Jiang. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (12): 5313-5326 (2022)

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Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylationL. Wang. Uni Marburg, (2009)

Paul Wang

Lien Wang

Scheifoo Wang

Other publications of authors with the same name

Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point.F. Liu, W. Zhao, Z. He, Y. Wang, Z. Wang, C. Dai, X. Liang, and L. Jiang. ICCV, page 5261-5270. IEEE, (2021)DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture.T. Yang, D. Li, Z. Song, Y. Zhao, F. Liu, Z. Wang, Z. He, and L. Jiang. DATE, page 700-705. IEEE, (2022)HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine.Q. Tang, Z. He, F. Liu, Z. Wang, Y. Zhou, Y. Zhang, and L. Jiang. ASP-DAC, page 226-231. IEEE, (2022)SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks.F. Liu, W. Zhao, Y. Chen, Z. Wang, and L. Jiang. AAAI, page 1692-1701. AAAI Press, (2022)Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator.F. Liu, W. Zhao, Z. He, Z. Wang, Y. Zhao, Y. Chen, and L. Jiang. ICCAD, page 1-9. IEEE, (2021)SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.F. Liu, W. Zhao, Y. Zhao, Z. Wang, T. Yang, Z. He, N. Jing, X. Liang, and L. Jiang. CoRR, (2021)SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.F. Liu, W. Zhao, Z. He, Z. Wang, Y. Zhao, T. Yang, J. Feng, X. Liang, and L. Jiang. ICCD, page 417-424. IEEE, (2021)Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System.C. Nie, Z. Wang, Q. Tang, C. Lv, L. Jiang, and Z. He. ISQED, page 1-6. IEEE, (2022)SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding.F. Liu, N. Yang, H. Li, Z. Wang, Z. Song, S. Pei, and L. Jiang. HPCA, page 1029-1042. IEEE, (2024)SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator.F. Liu, Z. Wang, Y. Chen, Z. He, T. Yang, X. Liang, and L. Jiang. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (1): 204-217 (2023)

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Disambiguation of "Wang, Zongwu"

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IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization.

Please choose a person to relate this publication to

Wang Wang

Linfang Wang

Paul Wang

Lien Wang

Scheifoo Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wang, Zongwu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization.

Please choose a person to relate this publication to

Wang Wang

Linfang Wang

Paul Wang

Lien Wang

Scheifoo Wang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization.