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Generic lithography modeling with dual-band optics-inspired neural networks.

H. Yang, Z. Li, K. Sastry, S. Mukhopadhyay, M. Kilgard, A. Anandkumar, B. Khailany, V. Singh, and H. Ren. DAC, page 973-978. ACM, (2022)

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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)GPU design in a power-limited era.B. Khailany. MSE, page 68. IEEE Computer Society, (2013)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)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)Accelerating Chip Design with Machine Learning.B. Khailany. MLCAD, page 33. ACM, (2020)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)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)MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification.V. Chhabria, Y. Zhang, H. Ren, B. Keller, B. Khailany, and S. Sapatnekar. CoRR, (2020)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)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)

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Generic lithography modeling with dual-band optics-inspired neural networks.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Generic lithography modeling with dual-band optics-inspired neural networks.

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Generic lithography modeling with dual-band optics-inspired neural networks.