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Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture.

H. Sun, Z. Zhu, C. Wang, X. Ning, G. Dai, H. Yang, and Y. Wang. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (11): 4075-4089 (November 2023)

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Yü-Sün Sun

Hongqing Sun

Guolin Sun

Hongtao Sun

Han Sun

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Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter.J. Liu, Z. Zhu, J. Hu, H. Sun, L. Liu, L. Liu, G. Dai, H. Yang, and Y. Wang. MDM, page 179-184. IEEE, (2022)Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture.H. Sun, Z. Zhu, C. Wang, X. Ning, G. Dai, H. Yang, and Y. Wang. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (11): 4075-4089 (November 2023)A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM.Z. Zhu, H. Sun, Y. Lin, G. Dai, L. Xia, S. Han, Y. Wang, and H. Yang. DAC, page 56. ACM, (2019)MNSIM-TIME: Performance Modeling Framework for Training-In-Memory Architectures.K. Qiu, Z. Zhu, Y. Cai, H. Sun, Y. Wang, and H. Yang. AICAS, page 1-4. IEEE, (2021)Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems.H. Sun, Z. Zhu, Y. Cai, S. Zeng, K. Qiu, Y. Wang, and H. Yang. ASP-DAC, page 847-852. ACM, (2021)3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud.S. Zeng, G. Dai, H. Sun, J. Liu, H. Zheng, Y. Wu, F. Zhang, X. Yang, Y. Cai, Y. Wang and 1 other author(s). FPGA, page 228. ACM, (2021)Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.S. Zeng, G. Dai, K. Zhong, H. Sun, G. Ge, K. Guo, Y. Wang, and H. Yang. FPGA, page 317. ACM, (2020)MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures.Z. Zhu, H. Sun, T. Xie, Y. Zhu, G. Dai, L. Xia, D. Niu, X. Chen, X. Hu, Y. Cao and 3 other author(s). IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (11): 4112-4125 (November 2023)Human Transcription Quality Improvement.J. Gao, H. Sun, C. Cao, and Z. Du. CoRR, (2023)An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators.H. Sun, Z. Zhu, Y. Cai, X. Chen, Y. Wang, and H. Yang. ASP-DAC, page 325-330. IEEE, (2020)

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Disambiguation of "Sun, Hanbo"

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Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture.

Please choose a person to relate this publication to

Yü-Sün Sun

Hongqing Sun

Guolin Sun

Hongtao Sun

Han Sun

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Sun, Hanbo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture.

Please choose a person to relate this publication to

Yü-Sün Sun

Hongqing Sun

Guolin Sun

Hongtao Sun

Han Sun

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
DIN 1505
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Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture.