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

H. Yang, Z. Li, K. Sastry, S. Mukhopadhyay, A. Anandkumar, B. Khailany, V. Singh, and H. Ren. CoRR, (2022)

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Timeloop: A Systematic Approach to DNN Accelerator Evaluation.A. Parashar, P. Raina, Y. Shao, Y. Chen, V. Ying, A. Mukkara, R. Venkatesan, B. Khailany, S. Keckler, and J. Emer. ISPASS, page 304-315. IEEE, (2019)AutoCRAFT: Layout Automation for Custom Circuits in Advanced FinFET Technologies.H. Chen, W. Turner, S. Song, K. Zhu, G. Kokai, B. Zimmer, C. Gray, B. Khailany, D. Pan, and H. Ren. ISPD, page 175-183. ACM, (2022)Accelerating Chip Design with Machine Learning.B. Khailany. MLCAD, page 33. ACM, (2020)From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus.D. Lin, H. Ren, Y. Zhang, B. Khailany, and T. Huang. ICPP, page 88:1-88:12. ACM, (2022)Generative self-supervised learning for gate sizing: invited.S. Nath, G. Pradipta, C. Hu, T. Yang, B. Khailany, and H. Ren. DAC, page 1331-1334. ACM, (2022)GPU design in a power-limited era.B. Khailany. MSE, page 68. IEEE Computer Society, (2013)FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning.Z. Xie, G. Fang, Y. Huang, H. Ren, Y. Zhang, B. Khailany, S. Fang, J. Hu, Y. Chen, and E. Barboza. ASP-DAC, page 19-25. IEEE, (2020)A 17-95.6 TOPS/W Deep Learning Inference Accelerator with Per-Vector Scaled 4-bit Quantization for Transformers in 5nm.B. Keller, R. Venkatesan, S. Dai, S. Tell, B. Zimmer, W. Dally, C. Gray, and B. Khailany. VLSI Technology and Circuits, page 16-17. IEEE, (2022)An Adversarial Active Sampling-Based Data Augmentation Framework for AI-Assisted Lithography Modeling.M. Liu, H. Yang, B. Khailany, and H. Ren. ICCAD, page 1-9. IEEE, (2023)Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper.H. Ren, S. Godil, B. Khailany, R. Kirby, H. Liao, S. Nath, J. Raiman, and R. Roy. ICCAD, page 1-6. IEEE, (2021)

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Disambiguation of "Khailany, Brucek"

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

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training.

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