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FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization

M. Sun, Z. Li, A. Lu, Y. Li, S. Chang, X. Ma, X. Lin, and Z. Fang. FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022 - 1 March 2022, page 134--145. ACM, (2022)
DOI: 10.1145/3490422.3502364

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Yanyu Duan

Li Li

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FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization.M. Sun, Z. Li, A. Lu, Y. Li, S. Chang, X. Ma, X. Lin, and Z. Fang. FPGA, page 134-145. ACM, (2022)Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems.S. Wang, G. Yuan, X. Ma, Y. Li, X. Lin, and B. Kailkhura. DATE, page 424-429. IEEE, (2022)Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge.C. Yang, Y. Sheng, P. Dong, Z. Kong, Y. Li, P. Yu, L. Yang, and X. Lin. DAC, page 1-2. IEEE, (2023)Hardware-efficient stochastic rounding unit design for DNN training: late breaking results.S. Chang, G. Yuan, A. Lu, M. Sun, Y. Li, X. Ma, Z. Li, Y. Xie, M. Qin, X. Lin and 2 other author(s). DAC, page 1396-1397. ACM, (2022)TextCraftor: Your Text Encoder Can be Image Quality Controller.Y. Li, X. Liu, A. Kag, J. Hu, Y. Idelbayev, D. Sagar, Y. Wang, S. Tulyakov, and J. Ren. CoRR, (2024)DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices.Y. Wu, C. Wu, G. Yuan, Y. Li, W. Guo, J. Rao, X. Shen, B. Ren, and Y. Wang. DATE, page 1-2. IEEE, (2024)SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds.Y. Li, H. Wang, Q. Jin, J. Hu, P. Chemerys, Y. Fu, Y. Wang, S. Tulyakov, and J. Ren. CoRR, (2023)Rethinking Vision Transformers for MobileNet Size and Speed.Y. Li, J. Hu, Y. Wen, G. Evangelidis, K. Salahi, Y. Wang, S. Tulyakov, and J. Ren. ICCV, page 16843-16854. IEEE, (2023)MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference.Y. Wu, Y. Gong, Z. Zhan, G. Yuan, Y. Li, Q. Wang, C. Wu, and Y. Wang. ICCAD, page 1-10. IEEE, (2023)NN-key: A Neural Network-Based Secret Key for Demapping OFDM Symbols.N. Soltani, Y. Li, D. Erdogmus, Y. Wang, and K. Chowdhury. CCNC, page 847-852. IEEE, (2022)

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FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization

Please choose a person to relate this publication to

Yanyu Duan

Li Li

Li Li

Li Li

Li Li

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BibSonomy

Disambiguation of "Li, Yanyu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization

Please choose a person to relate this publication to

Yanyu Duan

Li Li

Li Li

Li Li

Li Li

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Disambiguation

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FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization