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ORCIDDavid Z. Pan
David Zhigang Pan
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- affiliation: University of Texas at Austin, USA
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2020 – today
- 2024
[j114]Xiaohan Gao, Haoyi Zhang, Siyuan Ye, Mingjie Liu, David Z. Pan, Linxiao Shen, Runsheng Wang, Yibo Lin, Ru Huang:
Post-layout simulation driven analog circuit sizing. Sci. China Inf. Sci. 67(4) (2024)- [j113]Hyunsu Chae
, Keren Zhu, Bhyrav Mutnury, Douglas Wallace, Douglas Winterberg, Daniel De Araujo, Jay Reddy, Adam R. Klivans, David Z. Pan:
ISOP+: Machine Learning-Assisted Inverse Stack-Up Optimization for Advanced Package Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(1): 2-15 (2024) - [j112]Arman Roohi, Sepehr Tabrizchi, Mehrdad Morsali, David Z. Pan, Shaahin Angizi:
PiPSim: A Behavior-Level Modeling Tool for CNN Processing-in-Pixel Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(1): 141-150 (2024) - [j111]Guojin Chen, Zixiao Wang, Bei Yu, David Z. Pan, Martin D. F. Wong:
Ultrafast Source Mask Optimization via Conditional Discrete Diffusion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(7): 2140-2150 (2024) - [c285]Chen-Hao Hsu, Xiaoqing Xu, Hao Chen, Dino Ruic, David Z. Pan:
TransPlace: A Scalable Transistor-Level Placer for VLSI Beyond Standard-Cell-Based Design. ASPDAC 2024: 312-318 - [c284]Hyunsu Chae, Keren Zhu, Bhyrav Mutnury, Zixuan Jiang, Daniel De Araujo, Douglas Wallace, Douglas Winterberg, Adam R. Klivans, David Z. Pan:
ISOP-Yield: Yield-Aware Stack-Up Optimization for Advanced Package using Machine Learning. ASPDAC 2024: 644-650 - [c283]Supriyo Maji, Ahmet Faruk Budak, Souradip Poddar, David Z. Pan:
Toward End-to-End Analog Design Automation with ML and Data-Driven Approaches (Invited Paper). ASPDAC 2024: 657-664 - [c282]Supriyo Maji, Sungyoung Lee, David Z. Pan:
Analog Transistor Placement Optimization Considering Nonlinear Spatial Variations. DATE 2024: 1-6 - [c281]Souradip Poddar, Ahmet Faruk Budak, Linran Zhao, Chen-Hao Hsu, Supriyo Maji, Keren Zhu, Yaoyao Jia, David Z. Pan:
A Data-Driven Analog Circuit Synthesizer with Automatic Topology Selection and Sizing. DATE 2024: 1-6 - [c280]Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu:
Subgraph Extraction-Based Feedback-Guided Iterative Scheduling for HLS. DATE 2024: 1-6 - [c279]Zhili Xiong, Rachel Selina Rajarathnam, David Z. Pan:
A Data-Driven, Congestion-Aware and Open-Source Timing-Driven FPGA Placer Accelerated by GPUs. FCCM 2024: 115-125 - [c278]Rachel Selina Rajarathnam, Kate Thurmer, Vaughn Betz, Mahesh A. Iyer, David Z. Pan:
Better Together: Combining Analytical and Annealing Methods for FPGA Placement. FPL 2024: 43-52 - [c277]Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxing Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan:
Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator. HPCA 2024: 686-703 - [c276]Hanrui Wang, Pengyu Liu, Daniel Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han:
Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays. ISCA 2024: 293-309 - [c275]Ruisi Zhang, Rachel Selina Rajarathnam, David Z. Pan, Farinaz Koushanfar:
Automated Physical Design Watermarking Leveraging Graph Neural Networks. MLCAD 2024: 13:1-13:10 - [i64]Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang:
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. CoRR abs/2401.05571 (2024) - [i63]Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu:
Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS. CoRR abs/2401.12343 (2024) - [i62]Shupeng Ning, Hanqing Zhu, Chenghao Feng, Jiaqi Gu, Zhixing Jiang, Zhoufeng Ying, Jason Midkiff, Sourabh Jain, May H. Hlaing, David Z. Pan, Ray T. Chen:
Photonic-Electronic Integrated Circuits for High-Performance Computing and AI Accelerator. CoRR abs/2403.14806 (2024) - [i61]Ruisi Zhang, Rachel Selina Rajarathnam, David Z. Pan, Farinaz Koushanfar:
ICMarks: A Robust Watermarking Framework for Integrated Circuit Physical Design IP Protection. CoRR abs/2404.18407 (2024) - [i60]Yao Lai, Jinxin Liu, David Z. Pan, Ping Luo:
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs. CoRR abs/2405.06758 (2024) - [i59]Yao Lai, Sungyoung Lee, Guojin Chen, Souradip Poddar, Mengkang Hu, David Z. Pan, Ping Luo:
AnalogCoder: Analog Circuit Design via Training-Free Code Generation. CoRR abs/2405.14918 (2024) - [i58]Guojin Chen, Keren Zhu, Seunggeun Kim, Hanqing Zhu, Yao Lai, Bei Yu, David Z. Pan:
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation. CoRR abs/2406.05250 (2024) - [i57]Supriyo Maji, Hyungjoo Park, Gi moon Hong, Souradip Poddar, David Z. Pan:
Multi-Objective Optimization for Common-Centroid Placement of Analog Transistors. CoRR abs/2407.00817 (2024) - [i56]Souradip Poddar, Youngmin Oh, Yao Lai, Hanqing Zhu, Bosun Hwang, David Z. Pan:
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers. CoRR abs/2407.07346 (2024) - [i55]Ruisi Zhang, Rachel Selina Rajarathnam, David Z. Pan, Farinaz Koushanfar:
Automated Physical Design Watermarking Leveraging Graph Neural Networks. CoRR abs/2407.20544 (2024) - [i54]Guojin Chen, Haoyu Yang, Haoxing Ren, Bei Yu, David Z. Pan:
Differentiable Edge-based OPC. CoRR abs/2408.08969 (2024) - [i53]Guojin Chen, Hao Geng, Bei Yu, David Z. Pan:
Open-Source Differentiable Lithography Imaging Framework. CoRR abs/2409.15306 (2024) - 2023
- [j110]Xiangxing Yang, Keren Zhu, Xiyuan Tang, Meizhi Wang, Mingtao Zhan, Nanshu Lu, Jaydeep P. Kulkarni, David Z. Pan, Yongpan Liu, Nan Sun:
An In-Memory-Computing Charge-Domain Ternary CNN Classifier. IEEE J. Solid State Circuits 58(5): 1450-1461 (2023) - [j109]Xiyuan Tang, Xiangxing Yang, Jiaxin Liu, Zongnan Wang, Wei Shi, David Z. Pan, Nan Sun:
A Bandwidth-Adaptive Pipelined SAR ADC With Three-Stage Cascoded Floating Inverter Amplifier. IEEE J. Solid State Circuits 58(9): 2564-2574 (2023) - [j108]Xiaohan Gao, Haoyi Zhang, Mingjie Liu, Linxiao Shen, David Z. Pan, Yibo Lin, Runsheng Wang, Ru Huang:
Interactive Analog Layout Editing With Instant Placement and Routing Legalization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 698-711 (2023) - [j107]Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan:
SqueezeLight: A Multi-Operand Ring-Based Optical Neural Network With Cross-Layer Scalability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 807-819 (2023) - [j106]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Toward Efficient and Aging-Resilient Photonic In-Memory Neurocomputing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 820-833 (2023) - [j105]Keren Zhu, Hao Chen, Mingjie Liu, David Z. Pan:
Hierarchical Analog and Mixed-Signal Circuit Placement Considering System Signal Flow. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(8): 2689-2702 (2023) - [j104]Keren Zhu, Hao Chen, Mingjie Liu, David Z. Pan:
Tutorial and Perspectives on MAGICAL: A Silicon-Proven Open-Source Analog IC Layout System. IEEE Trans. Circuits Syst. II Express Briefs 70(2): 715-720 (2023) - [j103]Shaahin Angizi, Sepehr Tabrizchi, David Z. Pan, Arman Roohi:
PISA: A Non-Volatile Processing-in-Sensor Accelerator for Imaging Systems. IEEE Trans. Emerg. Top. Comput. 11(4): 962-972 (2023) - [c274]Ahmet Faruk Budak, David Smart, Brian Swahn, David Z. Pan:
APOSTLE: Asynchronously Parallel Optimization for Sizing Analog Transistors Using DNN Learning. ASP-DAC 2023: 70-75 - [c273]Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan:
Delving into Effective Gradient Matching for Dataset Condensation. COINS 2023: 1-6 - [c272]Zixuan Jiang, Jiaqi Gu, David Z. Pan:
NormSoftmax: Normalizing the Input of Softmax to Accelerate and Stabilize Training. COINS 2023: 1-6 - [c271]Hyunsu Chae, Bhyrav Mutnury, Keren Zhu, Douglas Wallace, Douglas Winterberg, Daniel De Araujo, Jay Reddy, Adam R. Klivans, David Z. Pan:
ISOP: Machine Learning-Assisted Inverse Stack-Up Optimization for Advanced Package Design. DATE 2023: 1-6 - [c270]Ahmet Faruk Budak, Keren Zhu, David Z. Pan:
Practical Layout-Aware Analog/Mixed-Signal Design Automation with Bayesian Neural Networks. ICCAD 2023: 1-8 - [c269]Hao Chen, Kai-Chieh Hsu, Walker J. Turner, Po-Hsuan Wei, Keren Zhu, David Z. Pan, Haoxing Ren:
Reinforcement Learning Guided Detailed Routing for Custom Circuits. ISPD 2023: 26-34 - [c268]Ahmet Faruk Budak, Keren Zhu, Hao Chen, Souradip Poddar, Linran Zhao, Yaoyao Jia, David Z. Pan:
Joint Optimization of Sizing and Layout for AMS Designs: Challenges and Opportunities. ISPD 2023: 84-92 - [c267]Rachel Selina Rajarathnam, Zixuan Jiang, Mahesh A. Iyer, David Z. Pan:
DREAMPlaceFPGA-PL: An Open-Source GPU-Accelerated Packer-Legalizer for Heterogeneous FPGAs. ISPD 2023: 175-184 - [c266]Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan:
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. NeurIPS 2023 - [c265]Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang:
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. QCE 2023: 51-62 - [i52]Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan:
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. CoRR abs/2305.14858 (2023) - [i51]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan:
M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference. CoRR abs/2305.19505 (2023) - [i50]Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxin Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan:
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator. CoRR abs/2305.19533 (2023) - [i49]Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Rongxing Tang, Shupeng Ning, May Hlaing, Jason Midkiff, Sourabh Jain, David Z. Pan, Ray T. Chen:
Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning. CoRR abs/2305.19592 (2023) - [i48]Xiaohan Gao, Haoyi Zhang, Siyuan Ye, Mingjie Liu, David Z. Pan, Linxiao Shen, Runsheng Wang, Yibo Lin, Ru Huang:
Post-Layout Simulation Driven Analog Circuit Sizing. CoRR abs/2310.14049 (2023) - [i47]Zhili Xiong, Rachel Selina Rajarathnam, Zhixing Jiang, Hanqing Zhu, David Z. Pan:
DREAMPlaceFPGA-MP: An Open-Source GPU-Accelerated Macro Placer for Modern FPGAs with Cascade Shapes and Region Constraints. CoRR abs/2311.08582 (2023) - [i46]Hanrui Wang, Pengyu Liu, Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han:
FPQA-C: A Compilation Framework for Field Programmable Qubit Array. CoRR abs/2311.15123 (2023) - [i45]Hanrui Wang, Yilian Liu, Pengyu Liu, Jiaqi Gu, Zirui Li, Zhiding Liang, Jinglei Cheng, Yongshan Ding, Xuehai Qian, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han:
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. CoRR abs/2311.16035 (2023) - [i44]Hanrui Wang, Pengyu Liu, Kevin Shao, Dantong Li, Jiaqi Gu, David Z. Pan, Yongshan Ding, Song Han:
Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers. CoRR abs/2311.16082 (2023) - [i43]Ahmet Faruk Budak, Keren Zhu, David Z. Pan:
Practical Layout-Aware Analog/Mixed-Signal Design Automation with Bayesian Neural Networks. CoRR abs/2311.17073 (2023) - 2022
- [j102]Ki Yong Kim, David Z. Pan, Ranjit Gharpurey:
A Broadband Spectrum Channelizer With PWM-LO-Based Sub-Band Gain Control. IEEE J. Solid State Circuits 57(3): 781-792 (2022) - [j101]Yibai Meng, Wuxi Li, Yibo Lin, David Z. Pan:
elfPlace: Electrostatics-Based Placement for Large-Scale Heterogeneous FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 155-168 (2022) - [j100]Ahmet Faruk Budak, Miguel Gandara, Wei Shi, David Z. Pan, Nan Sun, Bo Liu:
An Efficient Analog Circuit Sizing Method Based on Machine Learning Assisted Global Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1209-1221 (2022) - [j99]Martin Rapp, Hussam Amrouch, Yibo Lin, Bei Yu, David Z. Pan, Marilyn Wolf, Jörg Henkel:
MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3162-3181 (2022) - [j98]Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan:
Light in AI: Toward Efficient Neurocomputing With Optical Neural Networks - A Tutorial. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2581-2585 (2022) - [c264]Keren Zhu, Hao Chen, Mingjie Liu, David Z. Pan:
Automating Analog Constraint Extraction: From Heuristics to Learning: (Invited Paper). ASP-DAC 2022: 108-113 - [c263]Rachel Selina Rajarathnam, Mohamed Baker Alawieh, Zixuan Jiang, Mahesh A. Iyer, David Z. Pan:
DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit. ASP-DAC 2022: 300-306 - [c262]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. ASP-DAC 2022: 332-338 - [c261]Ahmet Faruk Budak, Zixuan Jiang, Keren Zhu, Azalia Mirhoseini, Anna Goldie, David Z. Pan:
Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper). ASP-DAC 2022: 500-505 - [c260]Keren Zhu, Hao Chen, Mingjie Liu, Xiyuan Tang, Wei Shi, Nan Sun, David Z. Pan:
Generative-Adversarial-Network-Guided Well-Aware Placement for Analog Circuits. ASP-DAC 2022: 519-525 - [c259]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CVPR 2022: 12084-12093 - [c258]Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han:
QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. DAC 2022: 1-6 - [c257]Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han:
QOC: quantum on-chip training with parameter shift and gradient pruning. DAC 2022: 655-660 - [c256]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan:
ADEPT: automatic differentiable DEsign of photonic tensor cores. DAC 2022: 937-942 - [c255]Zizheng Guo, Mingjie Liu, Jiaqi Gu, Shuhan Zhang, David Z. Pan, Yibo Lin:
A timing engine inspired graph neural network model for pre-routing slack prediction. DAC 2022: 1207-1212 - [c254]Hao Chen, Walker J. Turner, David Z. Pan, Haoxing Ren:
Routability-Aware Placement for Advanced FinFET Mixed-Signal Circuits using Satisfiability Modulo Theories. DATE 2022: 160-165 - [c253]Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han:
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. HPCA 2022: 692-708 - [c252]Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan:
Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. ICCAD 2022: 37:1-37:9 - [c251]Keren Zhu, Hao Chen, Walker J. Turner, George F. Kokai, Po-Hsuan Wei, David Z. Pan, Haoxing Ren:
TAG: Learning Circuit Spatial Embedding from Layouts. ICCAD 2022: 66:1-66:9 - [c250]Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han:
TorchQuantum Case Study for Robust Quantum Circuits. ICCAD 2022: 136:1-136:9 - [c249]David Z. Pan:
EDAML 2022 Keynote Speaker: Machine Learning for Agile, Intelligent and Open-Source EDA. IPDPS Workshops 2022: 1181 - [c248]Hao Chen, Walker J. Turner, Sanquan Song, Keren Zhu, George F. Kokai, Brian Zimmer, C. Thomas Gray, Brucek Khailany, David Z. Pan, Haoxing Ren:
AutoCRAFT: Layout Automation for Custom Circuits in Advanced FinFET Technologies. ISPD 2022: 175-183 - [c247]Gracieli Posser, Evangeline F. Y. Young, Stephan Held, Yih-Lang Li, David Z. Pan:
Challenges and Approaches in VLSI Routing. ISPD 2022: 185-192 - [c246]Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun:
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. MLCAD 2022: 35-41 - [c245]Zixuan Jiang, Mingjie Liu, Zizheng Guo, Shuhan Zhang, Yibo Lin, David Z. Pan:
A Tale of EDA's Long Tail: Long-Tailed Distribution Learning for Electronic Design Automation. MLCAD 2022: 135-141 - [c244]Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan:
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. NeurIPS 2022 - [i42]Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han:
On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks. CoRR abs/2202.13239 (2022) - [i41]Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun:
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. CoRR abs/2207.06412 (2022) - [i40]Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan:
Delving into Effective Gradient Matching for Dataset Condensation. CoRR abs/2208.00311 (2022) - [i39]Wei Li, Ruxuan Li, Yuzhe Ma, Siu On Chan, David Z. Pan, Bei Yu:
Rethinking Graph Neural Networks for the Graph Coloring Problem. CoRR abs/2208.06975 (2022) - [i38]Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan:
Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. CoRR abs/2208.08099 (2022) - [i37]Keren Zhu, Hao Chen, Walker J. Turner, George F. Kokai, Po-Hsuan Wei, David Z. Pan, Haoxing Ren:
TAG: Learning Circuit Spatial Embedding From Layouts. CoRR abs/2209.03465 (2022) - [i36]Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan:
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. CoRR abs/2209.10098 (2022) - [i35]Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Haoxing Ren:
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design. CoRR abs/2210.15765 (2022) - [i34]Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han:
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR abs/2210.16724 (2022) - [i33]Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan:
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression. CoRR abs/2211.16749 (2022) - 2021
- [j97]Hao Chen, Mingjie Liu, Biying Xu, Keren Zhu, Xiyuan Tang, Shaolan Li, Yibo Lin, Nan Sun, David Z. Pan:
MAGICAL: An Open- Source Fully Automated Analog IC Layout System from Netlist to GDSII. IEEE Des. Test 38(2): 19-26 (2021) - [j96]Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan:
GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(2): 373-385 (2021) - [j95]Junzhe Cai, Changhao Yan, Yudong Tao, Yibo Lin, Sheng-Guo Wang, David Z. Pan, Xuan Zeng:
A Novel and Unified Full-Chip CMP Model Aware Dummy Fill Insertion Framework With SQP-Based Optimization Method. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(3): 603-607 (2021) - [j94]Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Haoxing Ren, Brucek Khailany, David Z. Pan:
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(4): 748-761 (2021) - [j93]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan:
Toward Hardware-Efficient Optical Neural Networks: Beyond FFT Architecture via Joint Learnability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1796-1809 (2021) - [j92]Wei Li, Yuzhe Ma, Qi Sun, Lu Zhang, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan:
OpenMPL: An Open-Source Layout Decomposer. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(11): 2331-2344 (2021) - [c243]Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan:
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization. AAAI 2021: 7583-7591 - [c242]Xiaohan Gao, Chenhui Deng, Mingjie Liu, Zhiru Zhang, David Z. Pan, Yibo Lin:
Layout Symmetry Annotation for Analog Circuits with Graph Neural Networks. ASP-DAC 2021: 152-157 - [c241]Hao Chen, Mingjie Liu, Xiyuan Tang, Keren Zhu, Abhishek Mukherjee, Nan Sun, David Z. Pan:
MAGICAL 1.0: An Open-Source Fully-Automated AMS Layout Synthesis Framework Verified With a 40-nm 1GS/s Δ∑ ADC. CICC 2021: 1-2 - [c240]Xiangxing Yang, Keren Zhu, Xiyuan Tang, Meizhi Wang, Mingtao Zhan, Nanshu Lu, Jaydeep P. Kulkarni, David Z. Pan, Yongpan Liu, Nan Sun:
An In-Memory-Computing Charge-Domain Ternary CNN Classifier. CICC 2021: 1-2 - [c239]Ahmet Faruk Budak, Prateek Bhansali, Bo Liu, Nan Sun, David Z. Pan, Chandramouli V. Kashyap:
DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks. DAC 2021: 1219-1224 - [c238]Hao Chen, Keren Zhu, Mingjie Liu, Xiyuan Tang, Nan Sun, David Z. Pan:
Universal Symmetry Constraint Extraction for Analog and Mixed-Signal Circuits with Graph Neural Networks. DAC 2021: 1243-1248 - [c237]Xiaohan Gao, Mingjie Liu, David Z. Pan, Yibo Lin:
Interactive Analog Layout Editing with Instant Placement Legalization. DAC 2021: 1249-1254 - [c236]Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan:
SqueezeLight: Towards Scalable Optical Neural Networks with Multi-Operand Ring Resonators. DATE 2021: 238-243 - [c235]Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. DATE 2021: 1026-1031 - [c234]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Zhoufeng Ying, Ray T. Chen, David Z. Pan:
O2NN: Optical Neural Networks with Differential Detection-Enabled Optical Operands. DATE 2021: 1062-1067 - [c233]Mingjie Liu, Walker J. Turner, George F. Kokai, Brucek Khailany, David Z. Pan, Haoxing Ren:
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