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HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression


Nov 30, 2022
Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan

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* 9 pages. Accepted to NeurIPS ML for System Workshop 2022 (Spotlight) 

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An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design


Oct 27, 2022
Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Haoxing Ren

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Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training


Jul 08, 2022
Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren

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* 9 pages, 10 figures, in preparation for journal submission 

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Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training


Jun 13, 2022
Charbel Sakr, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, William J. Dally, Brucek Khailany

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* Published as a spotlight paper at ICML 2022. Paper contains 16 pages, 5 figures, and 6 tables 

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Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks


Mar 12, 2022
Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren

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* 9 pages, 9 figures; accepted at 59th Design Automation Conference 

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GATSPI: GPU Accelerated Gate-Level Simulation for Power Improvement


Mar 11, 2022
Yanqing Zhang, Haoxing Ren, Akshay Sridharan, Brucek Khailany

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NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning


Jul 09, 2021
Haoxing Ren, Matthew Fojtik, Brucek Khailany

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Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update


Jun 26, 2021
Jiawei Zhao, Steve Dai, Rangharajan Venkatesan, Ming-Yu Liu, Brucek Khailany, Bill Dally, Anima Anandkumar

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VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference


Feb 08, 2021
Steve Dai, Rangharajan Venkatesan, Haoxing Ren, Brian Zimmer, William J. Dally, Brucek Khailany

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PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network


Nov 26, 2020
Zhiyao Xie, Haoxing Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen

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* 2020 Asia and South Pacific Design Automation Conference (ASP-DAC 2020) 

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