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Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis.

K. Thorat, J. Zhao, Y. Liu, H. Peng, X. Xie, B. Lei, J. Zhang, and C. Ding. CoRR, (2023)

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Hongwu Zhang

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Guo Peng

Other publications of authors with the same name

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search.H. Peng, S. Chen, Z. Wang, J. Yang, S. Weitze, T. Geng, A. Li, J. Bi, M. Song, W. Jiang and 2 other author(s). CoRR, (2021)Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.T. Cai, Y. Li, Z. Geng, H. Peng, J. Lee, D. Chen, and T. Dao. CoRR, (2024)Binary Complex Neural Network Acceleration on FPGA.H. Peng, S. Zhou, S. Weitze, J. Li, S. Islam, T. Geng, A. Li, W. Zhang, M. Song, M. Xie and 2 other author(s). CoRR, (2021)Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate.C. Jin, T. Che, H. Peng, Y. Li, and M. Pavone. CoRR, (2024)RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference.H. Peng, S. Zhou, Y. Luo, N. Xu, S. Duan, R. Ran, J. Zhao, S. Huang, X. Xie, C. Wang and 4 other author(s). CoRR, (2023)AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization.Y. Luo, N. Xu, H. Peng, C. Wang, S. Duan, K. Mahmood, W. Wen, C. Ding, and X. Xu. MICRO, page 628-640. ACM, (2023)Accommodating Transformer onto FPGA: Coupling the Balanced Model Compression and FPGA-Implementation Optimization.P. Qi, Y. Song, H. Peng, S. Huang, Q. Zhuge, and E. Sha. ACM Great Lakes Symposium on VLSI, page 163-168. ACM, (2021)Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization.P. Qi, E. Sha, Q. Zhuge, H. Peng, S. Huang, Z. Kong, Y. Song, and B. Li. ICCAD, page 1-9. IEEE, (2021)Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis.K. Thorat, J. Zhao, Y. Liu, H. Peng, X. Xie, B. Lei, J. Zhang, and C. Ding. CoRR, (2023)MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training.H. Peng, X. Xie, K. Shivdikar, M. Hasan, J. Zhao, S. Huang, O. Khan, D. Kaeli, and C. Ding. ASPLOS (2), page 683-698. ACM, (2024)

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Disambiguation of "Peng, Hongwu"

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URL
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Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis.

Please choose a person to relate this publication to

Hongwu Zhang

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Guo Peng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peng, Hongwu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis.

Please choose a person to relate this publication to

Hongwu Zhang

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Guo Peng

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
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis.