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Extensible Proxy for Efficient NAS


Oct 17, 2022
Yuhong Li, Jiajie Li, Cong Han, Pan Li, Jinjun Xiong, Deming Chen

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What Makes Convolutional Models Great on Long Sequence Modeling?


Oct 17, 2022
Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey

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* The code is available at https://github.com/ctlllll/SGConv 

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HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation


Jul 22, 2022
Yao Chen, Junhao Pan, Xinheng Liu, Jinjun Xiong, Deming Chen

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* The conference version is pubilished in Proceedings of ASP-DAC 2022. arXiv admin note: substantial text overlap with arXiv:2112.13972 

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ORB-based SLAM accelerator on SoC FPGA


Jul 18, 2022
Vibhakar Vemulapati, Deming Chen

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Chimera: A Hybrid Machine Learning Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis


Jul 03, 2022
Mang Yu, Sitao Huang, Deming Chen

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* This is an extended version of the conference paper published in the 22nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2021), which won the Best Paper Award. It is supported in part by the Xilinx Center of Excellence and Xilinx Adaptive Compute Clusters (XACC) program at the University of Illinois Urbana-Champaign 

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Efficient Machine Learning, Compilers, and Optimizations for Embedded Systems


Jun 06, 2022
Xiaofan Zhang, Yao Chen, Cong Hao, Sitao Huang, Yuhong Li, Deming Chen

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* This article will appear as a book chapter in a new book: Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing, Springer Nature 

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Physics Community Needs, Tools, and Resources for Machine Learning


Mar 30, 2022
Philip Harris, Erik Katsavounidis, William Patrick McCormack, Dylan Rankin, Yongbin Feng, Abhijith Gandrakota, Christian Herwig, Burt Holzman, Kevin Pedro, Nhan Tran, Tingjun Yang, Jennifer Ngadiuba, Michael Coughlin, Scott Hauck, Shih-Chieh Hsu, Elham E Khoda, Deming Chen, Mark Neubauer, Javier Duarte, Georgia Karagiorgi, Mia Liu

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* Contribution to Snowmass 2021, 33 pages, 5 figures 

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AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models


Jan 21, 2022
Xiaofan Zhang, Zongwei Zhou, Deming Chen, Yu Emma Wang

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HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation


Dec 28, 2021
Xinheng Liu, Yao Chen, Prakhar Ganesh, Junhao Pan, Jinjun Xiong, Deming Chen

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* 7 pages, 6 figures. Accepted by ASP-DAC 2022 

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EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search


Nov 24, 2021
Qian Jiang, Xiaofan Zhang, Deming Chen, Minh N. Do, Raymond A. Yeh

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* 8 pages, 5 figures 

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