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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) - [c286]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 - [c285]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 - [c284]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 - [c283]Supriyo Maji, Sungyoung Lee, David Z. Pan:
Analog Transistor Placement Optimization Considering Nonlinear Spatial Variations. DATE 2024: 1-6 - [c282]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 - [c281]Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu:
Subgraph Extraction-Based Feedback-Guided Iterative Scheduling for HLS. DATE 2024: 1-6 - [c280]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 - [c279]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 - [c278]Sepehr Tabrizchi, Nedasadat Taheri, Justin Feng, Nader Sehatbakhsh, David Z. Pan, Arman Roohi:
SRC: Sustainable Reactive Computing for Battery-free Edge Intelligence. IGSC 2024: 93-98 - [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]